Senior Data Scientist Product

ABOUT EARNIN:
As one of the first pioneers of earned wage access, our passion at EarnIn is building products that deliver real time financial flexibility for those with the unique needs of living paycheck to paycheck. Our community members access their earnings as they earn them, with options to spend, save, and grow their money without mandatory fees, interest rates, or credit checks. Since our founding, our app has been downloaded over 13M times and we have provided access to $15 billion in earnings.
We’re fortunate to have an incredibly experienced leadership team, combined with world-class funding partners like A16Z, Matrix Partners, DST, Ribbit Capital, and a very healthy core business with a tremendous runway. We’re growing fast and are excited to continue bringing world class talent onboard to help shape the next chapter of our growth journey.
POSITION SUMMARY:
This is a high impact role with a lot of excitement. You will have the opportunity to turn information into insights through analytics, data science, experimentation and help the company achieve tremendous growth.
WHAT YOU'LL DO:

Work closely with product and engineering team to define key metrics and answer important questions
Conduct analysis and opportunity sizing to find opportunities of improvement and turn hypothesis into actionable and well-designed experiments(A/B Testing)
Identify KPIs and develop dashboards to monitor the metrics and show where we are now, whether we have achieved our goals and why
Communicate results and influence stakeholders, be the trusted thought partner for the product and engineering team

WHAT WE'RE LOOKING FOR:

You have strong interpersonal skills and are able to work cross-functionally in the team environments
You have 2+ years experience in product analytics
You are an expert with SQL and experienced with Python or R
Ability to think creatively and thrive in a fast-paced, dynamic, often ambiguous work environment
Strategic thinker who can tie the micro and macro view together
Experience with Periscope, Databricks, Amplitude and/or Optimizely are a plus
Experience creating and tuning ML models is a plus

At EarnIn, we believe that the best way to build a financial system that works for everyday people is by hiring a team that represents our diverse community. Our team is diverse not only in background and experience, but also in perspective. We celebrate our diversity and strive to create a culture of belonging. EarnIn does not unlawfully discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, breastfeeding or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, registered domestic partner status, sexual orientation, genetic information, or any other basis protected by local, state, or federal laws. EarnIn is an E-Verify participant.

EarnIn does not accept unsolicited resumes from individual recruiters or third party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or HR team.

#LI-Remote


Senior Data Scientist Ml And Algorithms

Senior Data Scientist, ML and Algorithms

About AllTrails

AllTrails is the most trusted and used outdoors platform in the world. We help people explore the outdoors with hand-curated trail maps along with photos, reviews, and user recordings crowdsourced from our community of millions of registered hikers, mountain bikers and trail runners in 150 countries. AllTrails is frequently ranked as a top-5 Health and Fitness app and has been downloaded by over 40 million people worldwide.

Every day, we solve incredibly hard problems so that we can get more people outside having healthy, authentic experiences and a deeper appreciation of the outdoors. Join us!

What You’ll Be Doing:

Designing and implementing algorithms that power everything from the way we optimize our content to the way we personalize experiences
Designing machine learning models that will be pushed into production systems, at-scale
Identifying unique ways in which data can be transformed into solutions that directly drive revenue for the organization
Partnering with teammates and product managers to develop robust solutions to highly specific technical challenges
Identifying technical and strategic gaps in our data science infrastructure and proactively driving best-in-class solutions
Presenting work to a large variety of stakeholders

Requirements:

5+ years of work experience in data science
B.S. or M.S. degree in data science, machine learning, artificial intelligence, mathematics, or equivalent practical experience
Proficiency with both Python and SQL
An understanding of both simple and complex machine learning and artificial intelligence concepts (e.g. clustering, regression, classification, deep learning, transformers, diffusion)
Professional experience working in least one of the following areas: vector embeddings, deep learning, natural language processing, computer vision, generative AI (e.g. LLMs, transformers), personalization, route optimization, geospatial trajectories (GPS / GIS)
Experience with the end-to-end machine learning lifecycle (data cleaning, feature extraction, training/testing, model evaluation, optimization, deployment, etc.)
Experience in collaborating with engineers in designing models that scale to production-level request volumes
Experience working collaboratively on shared codebases using Git
Experience in iterative exploratory notebook development (Jupyter, Hex, etc.)
Experience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks
Regularly enjoys reading highly technical research papers and translating learnings into effective prototypes
Strong attention to detail, analytical, and a problem solver with a keen insight for asking the right questions and building solutions to drive direct business value
Expert communication skills, including the ability to persuade and inspire, a knack for breaking down complex concepts, and a proactive attitude towards knowledge sharing and documentation

Bonus Points:

Querying and manipulating data on the scale of TBs+
Experience with transformation tools like dbt or Dataform
Experience with best practices in ML ops and software development lifecycles

What We Offer:

A competitive and equitable compensation plan. This is a full-time, salaried position that includes equity.
Physical & mental well-being including health, dental and vision benefits.
Trail Days: First Friday of each month off to hit the trails!
Unlimited PTO.
Flexible parental leave.
Annual continuing education stipend.
Discounts on subscriptions and merchandise for you and your friends & family.
An authentic investment in you as a human being and your career as a professional.

$160,000 - $180,000 a year
A successful candidate’s starting salary will be determined based on various factors such as skills, experience, training and credentials, as well as other business purposes or needs.  It is not typical for a candidate to be hired at or near the top of the range of their role and compensation decisions are dependent on the factors and circumstances of each case.

Nature celebrates you just the way you are and so do we! At AllTrails we’re passionate about nurturing an inclusive workplace that values diversity. It’s no secret that companies that are diverse in background, age, gender identity, race, sexual orientation, physical or mental ability, ethnicity, and perspective are proven to be more successful. We’re focused on creating an environment where everyone can do their best work and thrive.


Bioinformatics Scientist

Us
Seed Health is a microbiome science company pioneering innovations in probiotics and living medicines to impact human and planetary health. Our scientific board comprises leading scientists, researchers, and clinicians across the fields of microbiology, immunology, bioinformatics, dermatology, oral health, vaginal health, gastroenterology, mental health, pediatrics, and nutrition.
Consumer innovations are commercialized under Seed® with a mission to bring much-needed precision, efficacy, education and perspective-shifting science communication to the global category of probiotics. Our efforts to set a new standard in probiotics, microbial innovation and translational communication have earned various accolades, including Fast Company's World Changing Ideas in 2019, 2020, 2021, and 2022, and TIME's Best Inventions 2018.
We focus on categories where microbial innovations and microbiome-related products will disrupt and capture global market share in the coming years (e.g. oral care, skin care, infant health, etc.). We have built a strong foundation with breakthrough research and strong intellectual property, and believe there is a substantial opportunity to emerge as an innovative product line, backed by the most rigorous science.
Who You Are
You are passionate about diving into the world of microbiome research and possess a strong background in bioinformatics, genomics, and cloud computing. In your current role, you are responsible for building, running, and maintaining cutting-edge pipelines for sparse, multivariable, high-dimensional (such as metagenomics and potentially microbiome metabolomics) on cloud infrastructure like AWS. You have experience with creating automated workflows with provenance, ensuring accuracy, and efficiency in your work. Ideally, you have familiarity with clinical trial or human cohort datasets, including metadata, regulatory compliance, and cohort designs.
Teachers and mentors would describe you as a detail-oriented, knowledgeable individual who can quickly adapt to new technologies and methodologies in bioinformatics and genomics research. Your ability to communicate effectively across diverse teams with varying expertise allows you to seamlessly collaborate with colleagues, such as the director of bioinformatics, microbiome statisticians, and the larger discovery and R&D team. You consistently deliver high-quality work on time and are always eager to learn and implement new techniques to address your team's needs.
You thrive in collaborative, dynamic, and fast-paced environments, where you work closely with a multidisciplinary team of scientists and researchers. You proactively explore new tools and techniques to optimize workflows, automate processes, and enhance the analysis of microbiome data. Your communication skills allow you to effectively convey complex bioinformatics concepts to team members and partners with diverse backgrounds, fostering collaboration and the exchange of knowledge. You are eager to take on new challenges and contribute to the success of a data-driven, human-centric company.
What You’ll Do
Deploy and use bioinformatic processing pipelines for the integration and analysis of human clinical and microbiome (metagenomic) data, including short read sequencing data.Develop, optimize, and maintain cloud-based infrastructure for running microbiome-specific bioinformatics pipelines (e.g., metagenomics, metabolomics) on cloud compute platforms (e.g., AWS), following best practices for automation, reproducibility, and provenance tracking.Collaborate with the Director of Bioinformatics, the Microbiome Biostatistician, and the larger Discovery and RnD team to identify data analysis needs and execute on them, ensuring accurate and efficient data wrangling, data science, and exploratory microbiome analysis.Use bioinformatics tools for precision pre/probiotic design and microbial comparative genomics.Implement and apply machine learning techniques and advanced multivariate statistical methods for responder/non-responder analysis, nested clinical trial design, and other relevant tasks.Contribute to the development of novel microbial therapies through the analysis of clinical trial data.Participate in the creation of clinical trial analysis documentation, academic papers, and other relevant materials.Integrate and analyze human microbiome data from various sources and body sites, including clinical trials or human cohortsContinuously learn and implement new bioinformatics and genomics methodologies to address your team's needsCommunicate bioinformatics analysis results effectively with academic and industry partners around the globe.
Required Experience
PhD + Postdoc or industry experience in Bioinformatics, Computational Biology, or a related quantitative field.Experience in the analysis of high-dimensional (multi-omics) datasets and associated multivariate statistics or modeling.Solid knowledge of bioinformatics workflows in a Unix/Linux environment.Proficiency in at least one programming language used in bioinformatics/data analysis (e.g., R, Python).Ability to work in dynamic and fast-paced environments with tight deadlines.Ability to learn and adapt workflows to in-house as well as novel techniques for microbiome characterization and analysisExperience using cloud computing / HPC platforms (e.g., AWS, GCP) for bioinformatics workflows and data analysis.
What we'd like to see in addition
Hands-on experience working with metagenomic shotgun short-read datasets (deeply sequenced; 50M+ read pairs).Familiarity with popular microbiome pipelines such as Biobakery, SHOGUN, Pathoscope, etc.Knowledge of machine learning techniques and their applications in bioinformatics.Deep knowledge of algorithms and computer science concepts as applicable to the microbiomeStrong communication and collaboration skills, with the ability to explain complex concepts to a diverse audience.
Seed is an equal opportunity employer. For us, diversity isn’t an HR metric—it is the result of billions of years of evolution; it’s our nature. To serve our community inclusively means to cultivate a relative abundance of perspectives, backgrounds, geographies, and experiences. Like in biology, each role and its function is key to the productivity, sustainability, and resilience of our ecosystem.
Seed Health does not accept unsolicited resumes from individual recruiters or third party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or any employee of the Seed team. All candidates must be submitted via our Applicant Tracking System by approved Seed Health vendors who have been requested to make a submission by our Talent Acquisition team for a specific job opening.
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Associate Research Scientist

Description
Curriculum Associates is a rapidly growing educational technology and publishing company committed to making classrooms better places for teachers and students. We are seeking a talented individual with strong research skills to join our Research team as an Associate Research Scientist.
Job Description:
In this role, you’ll design and execute rigorous research projects focused on CA’s assessment and instruction products, which are used by over 10 million students throughout the United States. By applying your analytic mindset, technical skills, and a wide variety of statistical methodologies to one of the richest education datasets in the country, you will help answer pressing research questions that illustrate the impact of our educational programs on student learning and provide research and analytics to support state and local decision makers.
This opportunity is right for you if:
You are passionate about K–12 education and want to make a positive impact for students and teachers You are interested in conducting large-scale, and sometimes high profile, research that supports educators and leads to improvement in products that serve students and teachersYou enjoy the challenge of successfully wrangling large, complex data setsYou can independently handle quantitative analyses and communicate the results clearly and succinctly to non-technical audiencesYou are a self-directed worker who will thrive in a remote working environment
The impact you’ll have:
You’ll contribute to every phase of the research processYou’ll design and execute studies that answer actionable research questions about CA’s instruction solutions using a variety of statistical methodologiesYou’ll draft documentation for internal and external audiences, including process documentation, analysis specifications, and reporting of resultsYou will have opportunities to present research findings to diverse audiences, including internal stakeholder meetings and professional conferencesYou’ll contribute to quality control processes to ensure the accuracy of data, analyses, and findings of research projects
Who we’re looking for:
Ph.D. in education research, public policy, or other quantitative social science discipline with 0-3 years of experience (candidates at the dissertation phase of their graduate program will also be considered)Experience working on education research and/or evaluation projectsKnowledge of hierarchical modeling, clustering or other data reduction techniques, and other complex statistical methodsDemonstrated ability to efficiently use various software to manipulate data and conduct quantitative analyses (preferably SAS or R)Excellent written and verbal communication skillsIndependent worker and collaborative colleague who team members value
We’d also love to see, though not required:
Demonstrated experience in digital learning, reading, and/or mathematics at the K-8 levelExperience using SQL for querying from large, complex databases
Location: This is a remote position which will work collaboratively with a team of other researchers, most of whom are also working remotely. Curriculum Associates is a socially responsible, rapidly growing educational company headquartered northwest of Boston, MA.
Travel expectations: Less than 10% of total time. Travel for this position will likely include one semi-annual team meeting, one semi-annual advisory committee meeting, and travel to national conferences when proposals have been accepted.
Pay range: This role’s range is $69,2500-$130,500. The wage range for this role takes into account the wide range of factors that Curriculum Associates considers in making compensation decisions based on our Compensation Philosophy. Actual base pay within that range will vary based upon several factors including, but not limited to, prior experience and relevant skill sets. At Curriculum Associates, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances for each case. This role is also eligible to participate in the company bonus plan. The Company recognizes that minimum wage varies by location and will ensure all compensation decisions comply with applicable state and local laws.
Benefits: Benefit eligible employees (and their families) are covered by medical, dental, vision, and basic life insurance. Employees can enroll in our company’s 401k plan and receive an employer match. Employees have access to a flexible vacation and sick policy in addition to twelve paid holidays and a winter office closure between Christmas and New Year's, as well as a number of additional perks and benefits.
Please note: A cover letter is required for consideration.


Senior Manager Capacity Forecasting

Back to Careers
We are looking for someone to improve capacity planning across the complex and growing site delivery network. The Gopuff Labor planning team is tasked with transforming the way the network forecasts MFC capacity, optimizing labor scheduling, and building products to scale and automate overall labor management. Major partners include S&OP, Planning, Transportation, Last Mile Tech, Operations and Business Expansion teams to develop a strategic approach to create and scale labor planning. The Senior Manager, capacity forecasting will oversee site capacity management across the network. You will build partnerships with site operators to ensure customer service risk is reduced in both the short and medium term.
You Will:
Collaborate with major partners include S&OP, Planning, Transportation, Last Mile Tech, Operations and Business Expansion teams to develop a strategic approach to create and scale labor planning.Oversee site capacity management across the network. You will build partnerships with site operators to ensure customer service risk is reduced in both the short and medium term.Oversee workday integration and overall product management of OA schedule optimization.Develop scalable strategies and organizational structure to support the network.Ensure the customer experience is continuously protected, while minimizing fulfillment risk and mitigation costs across multiple sites.Plan for flow inputs for multiple process paths to align operational processing capacity to order volume.
Qualifications:
5+ years in the supply chain, labor management, and capacity management.Demonstrated experience to analyze data to guide root cause analysis and process improvement.Experience building operations-focused teams with a data and analytics background.Experience leading large, strategic programs with many partners.
Preferred Qualifications:
Bachelors in Finance, Operations, Logistics or related field.Experience in fulfillment operational environments.Fluency in SQL, Looker, or other BI Platforms.
Compensation
Gopuff pays employees based on market pricing and pay may vary depending on your location. The salary range below reflects what we’d reasonably expect to pay candidates. A candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future. For additional information on this role’s compensation package, please reach out to the designated recruiter for this role.Remote - Salary Range (varies based on a cost of labor index for geographic area within United States): USD $102,600 - USD $163,000
#LI-Remote
Benefits
We want to help our employees stay safe and healthy! We offer comprehensive medical, dental, and vision insurance, optional FSAs and HSA plans, 401k, commuter benefits, supplemental employee, spouse and child life insurance to all eligible employees.*
We also offer*:
-Gopuff employee discount
-Career growth opportunities
-Internal rewards programs
-Annual performance appraisal and bonus
-Equity program
*Not applicable for contractors or temporary employees.
At Gopuff, we know that life can be unpredictable. Sometimes you forget the milk at the store, run out of pet food for Fido, or just really need ice cream at 11 pm. We get it—stuff happens. But that’s where we come in, delivering all your wants and needs in just minutes.
And now, we’re assembling a team of motivated people to help us drive forward that vision to bring a new age of convenience and predictability to an unpredictable world.
Like what you’re hearing? Then join us on Team Blue.
Gopuff is an equal employment opportunity employer, committed to an inclusive workplace where we do not discriminate on the basis of race, sex, gender, national origin, religion, sexual orientation, gender identity, marital or familial status, age, ancestry, disability, genetic information, or any other characteristic protected by applicable laws. We believe in diversity and encourage any qualified individual to apply.

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Senior Data Scientist

🚀 Whatnot
Whatnot is a livestream shopping platform and marketplace backed by Andreessen Horowitz, Y Combinator, and CapitalG. We’re building the future of ecommerce, bringing together community, shopping and entertainment. We are committed to our values, whether working remotely or from one of our offices. We are building a team that has experience from top tech, retail and payments platforms in the world.
We’re innovating in the fast-paced world of live auctions in categories including sports, fashion, video games, and streetwear. The platform couples rigorous seller vetting with a focus on community to create a welcoming space for buyers and sellers to share their passions with others.
And, we’re growing. Whatnot has been the fastest growing marketplace in the US over the past two years and we’re hiring forward-thinking problem solvers across all functional areas.
📈 Opportunity Size
Retail disruption is one of the largest opportunities in the startup space today. Livestream shopping is taking off around the world – a $300B GMV market in China that’s grown 100% YoY. Whatnot is bringing it to the world through a community-first approach, starting in the U.S. where retail is a $5T market opportunity!
👋 About You
We are looking for intellectually curious, highly motivated individuals to be foundational members of our Data team! You will partner with our Engineering, Product, Finance and Operations teams to identify critical goals for the business, develop a deep understanding of them, and design scalable solutions.
You should have strong critical thinking and analytical skills, excellent communication abilities, and a knack for working across teams in a fast-paced environment. The ideal candidate will be adept in navigating the data stack and able to support initiatives in all facets from analytics/data engineering and product analytics to machine learning.
In addition to 6+ years of experience in the Data Analytics field, you should have:

Excellent verbal communications, including the ability to clearly and concisely articulate complex concepts to both technical and non-technical collaborators
Demonstrated history of knowledge in Business Analysis, Statistics, Mathematics, Economics or related technical fields
Industry experience with proven ability to apply scientific methods to solve real-world problems on large scale data
Ability to lead initiatives across multiple product areas and communicate findings with leadership and product teams
Comfortability with data warehouses and big data technologies such as Redshift, Snowflake, Big Query, Presto, Athena, Spark, DBT
Expert in using SQL for data analysis, reporting, and dashboarding
Experience with a scripting language such as Python or R is a plus
Aptitude and experience in applied statistical modeling and machine learning techniques
Firm grasp of visualization tools, interactive and self-serving, such as business intelligence and notebooks

💻 Role

Partner closely across the business to find improvements/opportunities and influence decisions using data science methodologies and tools
Build actionable KPIs, create production-quality dashboards and notebooks to convey insights
Define and advance best practices within an experiment-driven culture
Inform product engineering roadmap through analysis of marketplace, user behavior, and product trends

🎁  Benefits

Competitive base salary and stock options
Unlimited Vacation Policy and Company-wide Holidays (including a spring and winter break)
Health Insurance options including Medical, Dental, Vision, Life, Short term disability & Long term Disability

Whatnot covers 99% of employee premium costs, and 75% of dependent care premiums for Medical
Dental and Vision sponsored 100% by Whatnot for employees and dependents

Work From Home Support

Laptop provided by Whatnot and home office setup allowance
$450 work-from-anywhere quarterly allowance for cell phone and internet

Care benefits

$1,350 quarterly allowance on food
$1,500 quarterly allowance for wellness
16 weeks Paid Parental Leave and gradual return to work
$5,000 annual allowance towards Childcare
$20,000 lifetime benefit for family planning, such as adoption or fertility expenses

Professional Development

$2,000 annual benefit to invest in your professional development

401k offering for Traditional and Roth accounts provided by Betterment

Employer matching contributions of 100% of up to 4% of contributions on base salary

💛  EOE
Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.


Director Of Data Science

Description
The Director, Data Science uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Director, Data Science requires an in-depth understanding of how organization capabilities interrelate across the function or segment.
Responsibilities
We are seeking a Director of Data Science to lead our data science product team in creating innovative clinical pharmacy and experiential products. This role will support multiple functions and VPs within the organization and will be accountable for achieving value targets, developing and executing on strategy, and identifying and prioritizing potential products to develop.
As part of a PBM with mail
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Senior Data Scientist

Description
The Senior Data Scientist uses open-source and proprietary programming languages, business analytic skills, and technology to transform high volumes of complex data and infrastructure into advanced solutions in support of healthcare research initiatives. The Senior Data Scientist’s work assignments involve issues of diverse scope and complexity ranging from moderate to substantial, where the analysis of situations or data requires an in-depth evaluation of variable factors.
Responsibilities
The Senior Data Scientist develops, maintains, and collects data sets for analysis and research. This individual also has the following responsibilities:
Supports the maintenance and quality management of monthly ETLs that refresh HHR’s limited and de-identified datasets. Conducts
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Sr Health Economics And Outcomes Researcher

About the role:
The Sr. Health Economics and Outcomes Researcher will lead the technical execution of research studies as part of the newly created Health Economics and Outcomes Research team within Included Health. Included Health is uniquely positioned to drive improved health outcomes through its novel combination of financial, administrative, care navigation, and care delivery capabilities. The team is responsible for conducting research and disseminating new insights into the broader healthcare knowledge base through peer-reviewed literature. The research will encompass a wide array of analyses and evaluations across many products and services, including Virtual Care (tele-urgent, specialty/Expert Medical Opinion), Navigation and Behavioral Health. We have a vast amount of longitudinal data sets including, but not limited to, enrollment, claims, second opinion services, provider recommendations, member-reported outcomes, and clinical notes. Data scale ranges from small data sets that fit on a single laptop to large multi-terabyte clinical information in distributed database systems.

We are looking for an experienced quantitative researcher with health services/population health experience to serve as the technical lead on an array of research studies. We are especially interested in researchers with advanced training in statistical and economic approaches such as a PhD or MS who have conducted research using healthcare claims and related data sets. This position sits in our Health Strategy and Insights department and reports to the Included Health Senior Director of Health Economics and Outcomes Research.

Responsibilities:

Lead the development and execution of advanced empirical methodologies that demonstrate the impact and value of navigation, virtual care and new models of delivery for members
Work side-by-side with programmers and data analysts to build research data sets that align with study specifications and may include claims, digital health utilization, member-reported outcomes, and member call data
Engage with internal subject matter experts to intimately understand Included Health product or service of interest, clarify study objectives and hypotheses, and clarify data availability and definitions
Collaborate with internal stakeholders and external partners on study design and execution
Meaningfully contribute to technical writing of study
Present results both internally and externally to technical and non-technical audiences

Qualifications:

5+ years of post-graduate experience in health services research, statistics, economics, or related field in academia or industry
PhD in health-related field (economics, health services research, public health, etc.) or Masters Degree such as MS
Substantial experience analyzing health care claims (e.g. commercial, Medicare or Medicaid) and other related datasets to execute a research plan
Demonstrated understanding and thorough experience successfully using an array of quantitative research methods to evaluate the impact of health care products, services, or policies
Advanced knowledge navigating and joining across multiple complex data sets using relational databases (examples include SQL, Pandas, R, SAS, STATA)
Excellent verbal communications, including the ability to clearly and concisely articulate complex analytic concepts to both technical and non-technical audiences
Motivated to contribute to publications that aligns with the spirit of Included Health’s mission to raise the standard of healthcare for everyone
Ability to deal with ambiguity
Ability to work closely alongside programmers and data analysts to conduct studies
Prior digital health industry experience (Preferred)
Contribution to health services/population health peer-reviewed literature (Preferred)

About Included Health

Included Health is a new kind of healthcare company, delivering integrated virtual care and navigation. We’re on a mission to raise the standard of healthcare for everyone. We break down barriers to provide high-quality care for every person in every community — no matter where they are in their health journey or what type of care they need, from acute to chronic, behavioral to physical. We offer our members care guidance, advocacy, and access to personalized virtual and in-person care for everyday and urgent care, primary care, behavioral health, and specialty care. It’s all included. Learn more at includedhealth.com.

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Included Health is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, state, or local law. Included Health considers all qualified applicants in accordance with the San Francisco Fair Chance Ordinance.


Health Economics And Outcomes Researcher

About the role:
The Health Economics and Outcomes Researcher will be a key contributor to the newly established Included Health Health Economics and Outcomes Research team. Included Health is uniquely positioned to drive improved health outcomes through its novel combination of financial, administrative, care navigation, and care delivery capabilities. The team is responsible for conducting research and disseminating new insights into the broader healthcare knowledge base through peer-reviewed literature. The research will encompass a wide array of analyses and evaluations across many products and services, including Virtual Care (tele-urgent, specialty/Expert Medical Opinion), Navigation and Behavioral Health. We have a vast amount of longitudinal data sets including, but not limited to, enrollment, claims, second opinion services, provider recommendations, member-reported outcomes, and clinical notes. Data scale ranges from small data sets that fit on a single laptop to large multi-terabyte clinical information in distributed database systems.

We are looking for a motivated, intellectually curious, quantitative researcher with experience digging into a variety of healthcare data to construct reliable, documented data sets necessary to support robust analyses. The ideal candidate has strong interpersonal skills, is mission driven and looking for a chance to use their quantitative skill set to identify opportunities and successes that support our mission to raise the standard of healthcare for everyone. This position sits in our Health Strategy and Insights department and reports to the Senior Director of Health Economics and Outcomes Research.

Responsibilities:

Independently construct valid and reliable research datasets required for analyses and evaluations that demonstrate the impact and value of navigation, virtual care and new models of delivery for members/patients
Support Sr. Health Economics and Outcomes Researcher in executing the empirical methodologies for research studies
Partner with data and product subject matter experts to thoroughly understand the limitations and possibilities of underlying data sources
Thoroughly document logic, decisions, and definitions of research datasets
Contribute to technical writing of study and presentation materials
Be an active member in the growing research community at Included Health, working with clinical, data science, and analytic partners to strengthen our research voice
Contribute to Included Health data quality, documentation and governance

Qualifications:

4+ years of experience manipulating health care data (e.g., claims, electronic health records, patient survey) and other related data sets to execute a research plan
Degree should be in a technical discipline such as Statistics, Math, Computer Science, Engineering, Physics, or quantitative social science
Ability to identify, quantify, and explain intricacies of the data; proactively anticipate and address questions that may be raised about data validity and reliability from stakeholders
Experience navigating and joining across multiple complex data sets using relational databases (examples include SQL, Pandas, R, SAS, STATA)
Comfort with ambiguity and defining an approach to a given question or problem
Experience working with various types of data including (but not limited to) medical/Rx claims data, eligibility data, and survey data
Motivated to contribute to publications that aligns with the spirit of Included Health’s mission to raise the standard of healthcare for everyone
Strong attention to detail
Eagerness to create new multi-faceted research datasets and learn new analytical approaches
Ability to work in cross-functional teams alongside researchers, clinicians, and data analysts to conduct longitudinal studies
Prior digital health industry experience (Preferred)
Experience conducting statistical analyses using Python, SAS, STATA, or R (Strongly Preferred)

About Included Health

Included Health is a new kind of healthcare company, delivering integrated virtual care and navigation. We’re on a mission to raise the standard of healthcare for everyone. We break down barriers to provide high-quality care for every person in every community — no matter where they are in their health journey or what type of care they need, from acute to chronic, behavioral to physical. We offer our members care guidance, advocacy, and access to personalized virtual and in-person care for everyday and urgent care, primary care, behavioral health, and specialty care. It’s all included. Learn more at includedhealth.com.

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Included Health is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, state, or local law. Included Health considers all qualified applicants in accordance with the San Francisco Fair Chance Ordinance.


Senior Data Scientist Enterprise Marketing

Working at Atlassian
Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or return to an office as they reopen (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Does the challenge of scaling a fast-growing company by powering it with data, reporting, and analytics excite you? Using your business instincts and creativity, you will support a market-leading product with nuanced analysis, actionable insights, and strong recommendations.
We're growing quickly, so you'll need to help define, implement, and scale the systems and processes for sustainable growth across the marketing and sales organizations. If you love finding patterns amidst chaos, making quick decisions, and aren't afraid of being wrong, this could be a great fit!
Atlassian is hiring an experienced data scientist for our Enterprise go-to-market team. The Enterprise GTM team is a cross-functional group that drives go-to-market programs and strategies to help Atlassian products unleash the potential of every Enterprise team. Our team focuses on the critical moments within the Enterprise team’s discovery of and journey with Atlassian products. We uncover and drive data-informed strategies and tactics across Atlassian’s go-to-market organization.
In this role you'll get to:
Become the subject matter expert in Atlassian’s top of the funnel strategy for both Enterprise and SMB products. Partner with Marketing Leadership to shape marketing strategy driven by data.Apply various data science methods to understand the most important aspects of our Enterprise GTM experience and buyer journey.Coordinate disparate facts and findings into powerful narratives that have the broadest possible application within Atlassian.Accelerate the growth of our unique product-led Enterprise strategy by partnering across Sales Operations, Marketing, and Business Systems to improve how we understand and manage success.Evangelize evidence-based decision making by partnering with key decision makers and senior go-to-market leadership.Identify and drive improvements to the execution of the full Analytics & Data Science team through standardization of process, authoring new innovative practices, mentorship and cultivation of new expertise.Join a growing team of analysts and play an active role in team collaboration and culture.
On the first day we'll expect you to have:
5-8 years of analytics experience either in technology, engineering, consulting or relative work experience. Experience within B2B marketing, growth, or sales analytics working with a field sales team.You write sophisticated SQL with a preference for well-architected data models, optimized query performance, and clearly documented code.You are proficient in at least one programming language (e.g. Python, R) as well as a visualization & business intelligence platform (e.g. Tableau, Looker, Mode)You expedite projects forward, favoring rapid and incremental development in parallel with problem-solving short-term obstacles.You use data to drive go-to-market teams to achieve ambitious goals and influencing company-level outcomes. Experience as a technical lead or manager a plus.You use excellent judgment and sharp business and product instincts that allow you to prioritize.
It's great, but not required, if you have:
Experience working in a global environment with remote teamsExperience across a broad set of statistical and machine learning methods to build descriptive and predictive modelsExperience in schema design and dimensional data modeling and building data pipelinesExperience with operational tools and systems such as Marketo, Salesforce, or Segment


Data Scientist Product Analytics Confluence

Working at Atlassian
Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or return to an office as they reopen (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Atlassian helps teams everywhere change the world, and our software is used by more than half of the Fortune 100 companies, connecting people with content and co-workers they need to get their jobs done, faster. Our products are revolutionizing the software industry and helping teams collaborate and craft the magic that delivers their best work. Think NASA launching the Rover on Mars or Cochlear gifting those born deaf with the ability to hear, your work directly impacts the products they use to advance humanity!
Do you have a passion for crafting products and insights with data and do you love finding the next big ‘aha’ which changes the way a business thinks about its customers? Would you like to drive real change with global impact at the HQ of the world's hottest SaaS company?
We’d love you to join us! We are looking for a Data Scientist to join our Product Analytics team. We’re seeking someone with strong business instincts, creativity, and analytics mastery, who is passionate about applying these skills to build data and analytics foundations that drive smarter product decisions and ultimately, delight our customers.
In this role, you'll get to:
Collaborate with analytics and product team to identify high impact opportunities for analysis and align analytics & data science priorities with the company strategy and product roadmapDesign targeted explorations of our seriously big data, in order to understand trends, find opportunities, and make recommendations to improve user journeys and customer valueDrive the measurement culture and understand the impact of our product strategyEnvision, scope, and execute projects by collaborating with partners, customer research, data engineers, and other analystsShare your high-quality insights and recommendations to various levels of leadership to drive critical business decisionsBe part of building an outstanding analytics culture at Atlassian. Leading by example, through education and the creation of self-service tools, to make a lasting change in how your partners use data to make decisions
On the first day, we'll expect you to have:
Proven experience applying your analytics skills to projects which have had a positive impact on company level business and product decisionsAn agile development mentality, appreciating the benefit of constant iteration and improvementA very high bar for output quality, balancing “having something now" vs. "perfection in the future"Strong ability to communicate, explain complex concepts to diverse audiences, and craft compelling storiesExpertise in data manipulation and statistical programming languages (e.g. SQL, R), and knowledge of cloud data environments (e.g. AWS)Experience in using statistics as part of your role (e.g. regressions, A/B tests, forecasting)Proficiency in at least one visualization tool (e.g. Tableau)A degree in a quantitative field (e.g. statistics, mathematics, physics, econometrics, or computer science)
It's a bonus, but not required if you have:
An understanding of the SaaS development, business model, and metricsExperience in customer and/or product analytics, particularly in delivering outputs that can be used to advance analytics projects across an organizationExperience in building ETL pipelines using any tools or scripting languagesAre an active member of the broader analytics and data science communityAdvanced degree in Computer Science, Math, or Statistics


Senior Data Scientist Product Intelligence

Work Styles at Zoom
In most cases, you will have the opportunity to choose your preferred working location from the following options when you join Zoom: in-person, hybrid or remote. Visit this page for more information about Zoom's Workstyles.
About Us
Zoomies help people stay connected so they can get more done together. We set out to build the best video product for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinar.
We’re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Here, you’ll work across teams to deliver impactful projects that are changing the way people communicate and enjoy opportunities to advance your career in a diverse, inclusive environment.
Senior Data Scientist, Product Intelligence
FULL TIME, US-REMOTE
The Data Team at Zoom brings data closer to the decision. We know that to deliver customer happiness we need to build best in class products. We support this by empowering Product with behavioral insights to help them build better products. While providing these insights, we also need to ensure that we’re meeting the consent, privacy, and regulatory needs of hundreds of millions of users worldwide.
This role will be part of the Product Intelligence team and will be working closely with the Carrier Platform product team. The Carrier Platform for Zoom provides a foundation of global, reliable, compliant PSTN interconnection services at scale. This role will work closely with Product, Engineering and the Data Engineering team to help ensure the success of the product. The ideal candidate will have experience partnering with Product to define success metrics and define data requirements to ensure we are set up for success when the product or feature launches. The ideal candidate will have experience measuring product impact using causal inference and A/B testing. The individual will play a key role in providing insights around product usage beyond just the “What?” but to answer the “Why?” behind user behavior. Our team values diversity, collaboration, creativity and most importantly - having fun! Come join us!
Responsibilities
Size potential impact of new products or features to impact the Product roadmap.
Partner with Product to define success metrics that quantify the performance of the product and its impact on the business.
Analyze usage and behavioral data and build data models that enable insights and power dashboards.
Apply statistical methods, such as causal inference or A/B testing, to quantify the business impact of new features.
Partner with cross-functional teams to scope, prioritize, lead and drive data science initiatives to completion.
Identify new opportunities and influence strategic decision-making across the organization.
Partner closely with Product and Engineering to drive product direction and decision-making.
Mentor and coach junior team members.
Qualifications
Degree in a quantitative field such as analytics, statistics, economics, computer science, or applied math
Minimum of 6+ years (4+ with advanced degree) experience working in an analytical role
Strong communication skills, both written and verbal; able to translate ambiguous, unstructured business problems into actionable analyses
Advanced SQL ability
Proficient with Python and statistical libraries such as scikit-learn, pandas, etc
Strategic thinker who can tie the micro and macro view together
Experience influencing product strategy through statistical analyses and data story-telling
Previous experience working with a carrier or telecom platform is a bonus
Ensuring a diverse and inclusive workplace where we learn from each other is core to Zoom’s values. We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records as well as any qualified applicants requiring reasonable accommodations in accordance with the law.
We believe that the unique contributions of all Zoomies is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status.
We believe that the unique contributions of all Zoomies is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. Zoom is proud to be an equal opportunity workplace and is an affirmative action employer. All your information will be kept confidential according to EEO guidelines.
We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records and any qualified applicants requiring reasonable accommodations in accordance with the law. If you need any assistance or accommodations due to a medical condition, or if you need assistance accessing our website or completing the application process, please let us know by emailing us at careers@zoom.us.
Colorado Salary Range or On Target Earnings:
Minimum:
$116,820.00 USD
Maximum :
$216,090.00 USD
here
In addition to the base salary and/or OTE listed, Zoom has a Total Direct Compensation philosophy that takes into consideration base salary, bonus and equity value.  Information about Zoom’s benefits is here.  Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience.  We also have a location based compensation structure; there may be a different range for candidates in other locations.
We believe that the unique contributions of all Zoomies is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. Zoom is proud to be an equal opportunity workplace and is an affirmative action employer. All your information will be kept confidential according to EEO guidelines.
We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records as well as any qualified applicants requiring reasonable accommodations in accordance with the law. If you need any assistance or accommodations due to a medical condition, or if you need assistance accessing our website or completing the application process, please let us know by emailing us at careers@zoom.us.
Zoom requires all U.S. employees who will work in person at a Zoom office, attend in-person Zoom meetings or have in-person customer meetings to be fully vaccinated.  Zoom will consider requests for reasonable accommodations for religious or medical reasons as required under applicable law.
Explore Zoom:
Hear from our leadership team
Browse Awards and Employee Reviews on Comparably
Visit our Blog
Zoom with us!
Find us on social at the links below and on Instagram
View more jobs, sign up for job alerts and join our talent community. Visit the Zoom careers site.
#LI-Remote


Data Scientist Zoom Phone

Work Styles at Zoom
In most cases, you will have the opportunity to choose your preferred working location from the following options when you join Zoom: in-person, hybrid or remote. Visit this page for more information about Zoom's Workstyles.
About Us
Zoomies help people stay connected so they can get more done together. We set out to build the best video product for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinar.
We’re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Here, you’ll work across teams to deliver impactful projects that are changing the way people communicate and enjoy opportunities to advance your career in a diverse, inclusive environment.
Data Scientist, Zoom Phone
FULL TIME/ REMOTE - US
The Data Team at Zoom brings data closer to the decision. We know that to deliver customer happiness we need to build best in class products. We support this by empowering Product with behavioral insights to help them build better products. While providing these insights, we also need to ensure that we’re meeting the consent, privacy, and regulatory needs of hundreds of millions of users worldwide.
This role will be part of the Product Intelligence team and will be working closely with the Zoom Phone product team. Zoom Phone is a feature-rich cloud phone system with inbound/outbound calling through the public switched telephone network (PSTN) with local PSTN service available in 45+ countries and expanded coverage available through a bring-your-own carrier offering. This role will work closely with Product, Engineering and the Data Engineering team to help ensure the success of the product. The ideal candidate will have experience partnering with Product to define success metrics and define data requirements to ensure we are set up for success when the product or feature launches. The individual will play a key role in providing insights around product usage beyond just the “What?” but to answer the “Why?” behind user behavior. Our team values diversity, collaboration, creativity and most importantly - having fun! Come join us!
Responsibilities
Size potential impact of new products or features to impact the Product roadmap.
Partner with Product to define success metrics that quantify the performance of the product and its impact on the business.
Analyze usage and behavioral data using statistical techniques and build data models that enable insights and power dashboards.
Work cross-functionally to solve business problems by delivering actionable insights.
Partner closely with Product and Engineering to drive product direction and decision-making.
Qualifications
Degree in a quantitative field such as analytics, statistics, economics, computer science, or applied math
Minimum of 4+ years (2+ with advanced degree) experience working in an analytical role
Strong communication skills, both written and verbal
Proficient with SQL
Experience with Python and statistical libraries such as scikit-learn, pandas, etc
Experience influencing product strategy through statistical analyses and data story-telling
Previous experience working with a phone or telecommunications product is a bonus
Ensuring a diverse and inclusive workplace where we learn from each other is core to Zoom’s values. We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records as well as any qualified applicants requiring reasonable accommodations in accordance with the law.
We believe that the unique contributions of all Zoomies is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status.
#LI-REMOTE
We believe that the unique contributions of all Zoomies is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. Zoom is proud to be an equal opportunity workplace and is an affirmative action employer. All your information will be kept confidential according to EEO guidelines.
We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records and any qualified applicants requiring reasonable accommodations in accordance with the law. If you need any assistance or accommodations due to a medical condition, or if you need assistance accessing our website or completing the application process, please let us know by emailing us at careers@zoom.us.
Colorado Salary Range or On Target Earnings:
Minimum:
$97,920.00 USD
Maximum :
$181,170.00 USD
here
In addition to the base salary and/or OTE listed, Zoom has a Total Direct Compensation philosophy that takes into consideration base salary, bonus and equity value.  Information about Zoom’s benefits is here.  Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience.  We also have a location based compensation structure; there may be a different range for candidates in other locations.
We believe that the unique contributions of all Zoomies is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. Zoom is proud to be an equal opportunity workplace and is an affirmative action employer. All your information will be kept confidential according to EEO guidelines.
We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records as well as any qualified applicants requiring reasonable accommodations in accordance with the law. If you need any assistance or accommodations due to a medical condition, or if you need assistance accessing our website or completing the application process, please let us know by emailing us at careers@zoom.us.
Zoom requires all U.S. employees who will work in person at a Zoom office, attend in-person Zoom meetings or have in-person customer meetings to be fully vaccinated.  Zoom will consider requests for reasonable accommodations for religious or medical reasons as required under applicable law.
Explore Zoom:
Hear from our leadership team
Browse Awards and Employee Reviews on Comparably
Visit our Blog
Zoom with us!
Find us on social at the links below and on Instagram
View more jobs, sign up for job alerts and join our talent community. Visit the Zoom careers site.
#LI-Remote


Senior Data Scientist Machine Learning Platform Motion Planning

Motional’s ML team is specialized in research as well as deployment of Machine Learning and Classical Methods. We implement, test and deploy deep neural networks, algorithms, and software to impact different parts of an autonomous vehicle (AV) software stack. In order to continuously improve the performance of all our models, we constructed an automated loop to monitor and mine for model’s failure cases, extend training datasets, adapt the models,  and automatically improve the models’ performance. And all of this is happening at log ingest!
Read more about how our continuous learning framework works:

Continuous Learning Framework
Scenario Mining
Motional's Machine Learning team has produced ground breaking advancements in the autonomous vehicle industry including nuPlan (https://arxiv.org/abs/2106.11810), nuScenes (https://www.nuscenes.org), PointPillars (https://arxiv.org/abs/1812.05784), and PointPainting (http://arxiv.org/abs/1911.10150)

What You'll Do:

Analyze data distributions to encountered problematic scenes for models focused on prediction, perception and planning
Create models to automatically mine for model-specific problematic scenes
Automate mining, re-training, and error analysis workflows.
Create dashboard and metrics to evaluate performance of ML models and its influence to the AV performance

What You'll Bring:

4+ years of software development and data analysis experience
Python development experience
Statistical data analysis experience
Experience in handling large amount of data
Model training, and design experience
Experience with PyTorch or other deep learning frameworks
Passion about self-driving technology and its potential impact on the world

Bonus (not required):

Experience in C++ deployment
Experience designing, training, analyzing, and deploying neural networks for at least one of the following applications: Motion Planning, Motion prediction, Behavioral prediction, Perception.
Knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods.

______________________________________________________________________
(Colorado only*) Minimum salary of $172,020/year + bonus + equity + benefits *Note: Disclosure as required by sb19-085(8-5-20)
Company:


Data Scientist Ii

Career Area:
Information Analytics
Job Description:
 Your Work Shapes the World
Whether it be groundbreaking products, best in class solutions or creating a lifelong career, you can do the work that matters at Caterpillar. With a 95-year legacy of quality and innovation and 150 locations in countries around the world, your impact spans the globe.
When you join Caterpillar, you are joining a team of makers, innovators and doers. We are the people who roll up our sleeves and do the work to build a better world. We don’t just talk about progress and innovation. We make it happen. And we are proud of that because it helps our customers build and power the world we live in – the roads, hospitals, homes and infrastructure.  Without a dedicated workforce Caterpillar could not effectively meet our customer’s needs.  Join us.
 Description:
A Data Scientist within Internal Auditing & Advisory Services (IAAS) is challenged with identifying risk through analytic tools and processes. You will work closely with audit teams comprised of a Project Manager and Auditor-In-Charge to create data driven objectives to assess and identify potential risk, such as inefficient processes or weak controls. Involved from start to finish, you will be responsible for identifying data sources, securely transferring data, developing and executing analytics, and communicating results to the audit team and business partners. You will typically support the engagement as an auditor, leveraging your analytical results and documenting the control environment. You will conduct 8-12 analytics projects annually, spanning a wide variety of processes and business units across the corporation.
A Data Scientist within IAAS is a 2-3 year position that serves as a unique opportunity to learn about Caterpillar, to gain exposure and interact with senior leaders across the company, and to develop a risks and controls mindset that will be beneficial throughout your career. IAAS leadership is committed to helping you develop the skills you need to achieve your career goals.
 Job Duties:
 Research in-scope business risks and associated business processes   Gain understanding of relevant systems and underlying data   Design data-driven objectives to assess risks and controls   Use analytical tools and scripts to execute objectives   Communicate results and recommendations to audit teams and auditee   Occasionally perform as a staff auditor during fieldwork phase   Work independently to Identify, design, and implement internal process improvements
 Basic Qualifications:
 Bachelor’s degree in a technology or quantitative field   Understanding of relational databases and SQL
 Top candidates will also have:
 Strong communication skills, both verbal and written   Ability and desire to learn quickly   Exposure to Caterpillar ERP and IT systems   Programming experience (e.g., C#, Java, Python, R, etc.)   Excellent organizational and planning skills   Data Visualization experience (Tableau, Power BI, etc.)   Experience with ETL (Extract, Transform, and Load) design              Risk and controls experience   Demonstrate intellectual curiosity
 Additional Information:
 This position would ideally be located in Peoria, IL; Deerfield, IL; however we are open to considering remote candidates   Domestic relocation is available for those who qualify   This position requires up to 15% travel
 Employee benefit details:
Our goal at Caterpillar is for you to have a rewarding career. Our teams are critical to the success of our customers who build a better world.
Here you earn more than just a salary, because we value your performance. We offer a total rewards package that provides day one benefits [medical, dental, vision, RX, and 401(k)] along with the potential of an annual bonus.
Additional benefits include paid vacation days and paid holidays (prorated based upon hire date).
 Final details:
Please frequently check the email associated with your application, including the junk/spam folder, as this is the primary correspondence method. If you wish to know the status of your application – please use the candidate log-in on our career website as it will reflect any updates to your status.
This employer is not currently hiring foreign national applicants that require or will require sponsorship tied to a specific employer, such as H, L, TN, F, J, E, O. As a global company, Caterpillar offers many job opportunities outside of the U.S. which can be found through our employment website at www.Caterpillar.com/Careers
#LI-Remote
#LI
EEO/AA Employer.  All qualified individuals - Including minorities, females, veterans and individuals with disabilities - are encouraged to apply.
Not ready to apply? Submit your information to our Talent Network   here  .


Data Scientist Remanufacturing

Career Area:
Information Analytics
Job Description:
  At Caterpillar, we're working to help our customers build a better world. We wouldn’t be the Caterpillar we are today without the exceptionally talented, bright and driven people who get the job done. This is your chance to help us make progress possible around the world – for our customers, for growing communities and for every member of our team. We are looking for a dynamic, organized self-starter to join our Caterpillar Reman Division as a Data Scientist!
 Caterpillar Remanufacturing Analytics     We’re committed to our customers, who build a better world with our products, services, and solutions. We understand and show the value of why they should always choose us. We’re exploring new ideas and opportunities – innovating to discover the breakthroughs necessary for tomorrow’s growth.
And we are one team – creating and delivering world-class components and solutions superior to the competition.
 As a Data Scientist, you will support Caterpillar Reman Team by utilizing the latest in Data Analytics technologies, such as Python, Azure CICD Pipelines, Amazon Web Services (AWS), Kedro, and Power BI to develop a unique, robust and sustainable data solution.  This will include, Machine Learning, Export Transform and Load operations (ETLs), and dashboarding.  This position will be utilizing Agile Scrum Framework to execute quickly.   In this position you will be required to have/develop a deep understanding of both the business principles of Caterpillar Reman and technical capabilities of our continuously evolving analytics process.  The interaction between these two principles is where our team will enable the Caterpillar Reman business to lead the industry in data driven decision making and industry leading growth. This position provides a unique opportunity to interact with all aspect of the Caterpillar Reman Order to Delivery business and its support groups while developing and utilizing our technical process for all aspect of data driven decision making.
 Job Duties/Responsibilities may include but are not limited to:
 Responsible for providing business and system support to Caterpillar Reman business partners through business research and code development.   Following key technical standards when implementing a new process allow for sustainable integration into the team.   Personal development within the Reman Business process and technical skills to continuously improve our process and value.   Execute projects in a meticulous and timely manner.   Create/Improve reporting tools on various platforms to enable leadership to effectively monitor dealer performance, including Power BI.   Communicate with Customers to understand project scope and to develop appropriate solutions   Derive solutions utilizing Reman Analytics’ Python process which includes Kedro Framework, Azure DevOps, Docker, AWS, Snowflake, and Power Bi.   Active participate in Agile and Adhoc project planning and project execution activities.   Participate in Code Review, Knowledge Shares, and Project Showcases.   Documentation of project details and solutions.
 Basic Qualifications:   •    Bachelor’s Degree in mathematics, statistics, engineering or related field.    •    2+ years of previous technical experience in data analytics  •    2+ years of previous experience in data visualization  •    Experience deploying Python codebase, or equivalent language with eagerness to learn python.  •    Knowledge of SQL databases and queries  •    Demonstrated project management experience  •    Basic git proficiency
 Top Candidates Will Also Have:   •    Excellent oral and written communication skills  •    Strong customer focus  •    Ability to work effectively with a wide variety of groups including IT and Industry Partners.  •    Experience writing Data Pipelines with Python  •    Experience with Kedro Framework  •    Experience with a git-based workflow and collaborating on software projects.  •    Experience with Azure Build Pipelines, or equivalent ci/cd with willingness to use Azure Build Pipelines
 Additional Information:   This position is a fully remote position however, some team events, training, and project support may require you to be onsite at a Remanufacturing facility (Corinth MS, Franklin IN, Fargo ND, Nuevo Laredo Mexico), Reman Analytics’ home site (Peoria/Mossville IL) or Caterpillar Headquarters (Irving TX).  The frequency will be determined by ongoing team planning events and scope of projects.
Travel will be less than 25%
 Employee benefit details:   Our goal at Caterpillar is for you to have a rewarding career. Our teams are critical to the success of our customers who build a better world.  Here you earn more than just an hourly wage, because we value your performance, we offer a total rewards package that provides day one benefits along with the potential of annual bonuses.  Additional benefits include paid vacation days and paid holidays (prorated based upon hire date).
  Medical, dental, and vision coverage     Paid time off plan (Vacation, Holiday, Volunteer, Etc.)     401k savings plan     Health savings account (HSA)     Flexible spending accounts (FSAs)     Short and long-term disability coverage     Life Insurance     Paid parental leave     Healthy Lifestyle Programs     Employee Assistance Programs     Voluntary Benefits (Ex. Accident, Identity Theft Protection)
  Please ensure you frequently sign into your candidate home for any updates or correspondence for positions that you have applied for.      https://cat.wd5.myworkdayjobs.com/CaterpillarCareers    .     Keep a frequent check on emails as correspondence will be sent to the email that you use to apply with.     Employment sponsorship is offered for this position.    Relocation not offered for remote work.
Visa sponsorship available for eligible applicants.
EEO/AA Employer.  All qualified individuals - Including minorities, females, veterans and individuals with disabilities - are encouraged to apply.
Not ready to apply? Submit your information to our Talent Network   here  .


Senior Machine Learning Researcher For Copilot

GitHub is looking for a research engineer in the area of machine learning to join GitHub Next.
We are a growing team of engineers and researchers. Having made our mark with high-impact success stories like GitHub Copilot, we want to keep leveraging the power of Machine Learning to revolutionize GitHub and hence the world-wide community of developers and creators who rely on it for their daily work. We continue to build on these foundations while at the same time exploring new projects in different areas including AI-enhanced static analysis, supply-chain security, innovative approaches to CI, and many more.
You will be working with other members of our team as well as colleagues from elsewhere in  GitHub and Microsoft on providing machine learning solutions to these challenges. Some of the projects at the Innovation Lab are a sustained effort to put an idea that has proven its worth into production and at the fingertips of the world’s developer community, whereas others are an experimental evaluation of a new idea where we iterate quickly to separate ideas that show promise from those that need some more time to mature. While we are not primarily a research outfit, our work does regularly yield novel results and insights along the way, which we publish at academic conferences where applicable.
Responsibilities:

Participate in our ongoing projects in the area of code intelligence.
Conceive, design, train and deploy machine learning models.
Extend and fine-tune deep learning architectures.
Help out in the day-to-day running of the Innovation Lab: organizing our webinar series, interviewing new candidates, and disseminating research results.

Minimum Qualifications:

Firm theoretical background in machine learning.
3 years+ hands-on machine learning experience.
Previous experience with deep learning, sequence models and NLP.
Inclination to prototype quickly and make fast decisions on experiment failure.

A creative mindset and good practical skills are more important to us than formal experience.
Preferred Qualifications:

PhD in computer science, mathematics, or a related field, or other evidence of the ability to do independent, innovative research.
Previous experience at working with large, distributed machine learning pipelines, e.g. using Microsoft Azure or k8s.
Experience training large language models for code generation.
Ability to communicate complex ideas clearly, both in spoken and written form, for expert as well as novice audiences.

Location: In this role, you can work remotely from the following countries: Austria, Denmark, Germany, Ireland, Netherlands, Spain, Sweden, Switzerland, United Kingdom or onsite in one of GitHub’s European offices (Amsterdam, Oxford).


Senior Data Scientist

tl;dr You are curious, smart and great at what you do. You are looking for a remote role where you get the chance to work at a startup where you can fundamentally create & shape the product.  Salary: More than £100k p.a. + large option package Holidays: 23 days p.a. + the days between Christmas & New Year + Public Holidays Location: Remote, but UK/European time zone The OpportunityTranslucent was only conceived in May but, due to the quality and track record of the team and the huge opportunity, it has already received investment from top tier angels and a leading institutional investor.Translucent is taking advantage of the latest data tools & techniques to build a next generation accounting system. As such the Data Science Team will be at the very heart of the company and the product.The opportunity is to be there at the very beginning of a large and successful company.The RoleThis role will be part of the founding Data Science Team. You will have the opportunity to set the architecture, the toolset, the schemas, etc.You will be part of a small Data Science Team (<5 to begin with) building the MVP of our product alongside our Dev team and our Data Engineering team.You will be working with financial and accounting data consisting of categorical, numerical, free text and geolocation fields.You will join a team doing rapid experimentation with modern machine learning algorithms and tech stacks while 1.) respecting the volatile nature of our main dependency: data, and 2.) writing data science code that can go into production.You will be building the first models that power the Translucent MVP while also designing the data science infrastructure with the dev and engineering teams upon which all other data science work will be built.You have years of experience working with the modern data science ecosystem and translating business needs into machine learning models and solution design. You have strong experience with the algorithms behind the tooling, and ideally have experience of putting data science code into a productive setting.Proficiency in Python is a must-have, while experience with MLOps and modern data management is a strong plus.You are smart and curious, and passionate about your work.You are looking to work in a team where excellence is recognised, people are treated well and there is a high product velocity. Salary: More than £100k p.a. + large option package Holidays: 23 days p.a. + the days between Christmas & New Year + Public Holidays Location: Remote, but UK/European time zone Pension Contributions Healthcare


Staff Data Scientist Partnerships

Description
About LegalZoom
We're here to make legal help accessible to all. LegalZoom transformed the legal industry with the launch of our online services and groundbreaking technology in 2001. Since then, millions of customers have counted on us to officially start and run businesses, protect brands and intellectual property, and look after loved ones through wills and trusts.
As the industry leader for over 20 years, innovation remains at the center of all we do. We're creative thinkers and problem solvers with a passion for building legal and tax products that make a positive impact on the world, and we're always looking for exceptional people to push us further.
With us, you'll do work that's as rewarding as it is challenging with a team where every voice matters and diversity, equality, and inclusion are truly embraced. Together, we'll continue to democratize the law and make a real difference in the lives of millions.
Remote-first
Since March 2020, our Zoomers have worked remotely and reported an overall better work-life balance with more time for family and personal wellness.
At the end of 2021, LegalZoom made the official commitment to being a remote-first company. Remote-first means that there is no expectation that Zoomers come into an office for a fixed number of days outside of those employees identified as essential onsite workers. While we remain a remote-first culture, our local offices have evolved as collaboration spaces for Zoomers to meet and engage in person.
Overview
The Data Science and Engineering team at LegalZoom helps us make measurably better decisions, faster.  We do this through everything from shaping our product strategy to running experiments that let us know how well our strategy is performing.  In this role, you will work closely with the Partnerships business to help them make data-driven decisions. The goal is to help customers build successful businesses by identifying and delivering offers from LegalZoom partners. Whether that offer is a business license, insurance, or any of our other partner offerings, your work is critical to providing the customer the right option at the right time. You will move nimbly between 1st and 3rd-party data sources and provide insights to Partner Managers and partners.
You will work very closely with our colleagues in Engineering on everything from helping them build data-driven products to making sure that we are taking advantage of the latest advancements in data infrastructure (we are in the midst of migrating our data stack to the cloud).
Examples of questions you’ll tackle include how do customers discover and opt-in to our partner offers, how can targeting improve conversion rates, and what other products and partner placements we should launch.  You will
Perform descriptive and predictive analyses to form hypotheses about how we can grow the business through better marketing spend and sales operations Influence LegalZoom leadership to pursue our hypotheses so that we better serve customers and grow our business Design and run experiments to test our hypotheses, including the definition of metrics that will enable us to understand customer behavior Interpret experiment results and use them to drive strategic and tactical recommendations for how to better reach our customers Provide insights at scale through building pipelines and dashboards that share the metrics you’ve created to provide us a more complete view of our customers Work closely with Marketing and Sales to help them better understand how to use data as well as form their own hypotheses so we can move faster
You have
Be a key driver of marketing strategy, by thinking beyond immediate analysis to understand the long-term implications of actionsBasic qualifications: M.S. or Bachelors degree in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields(If M.S. degree, a minimum of 1+ years of industry experience required and if Bachelor's degree, a minimum of 2+ years of industry experience as a Data Scientist or equivalent)Advanced SQL expertiseBasic understanding of experimental design (such as A/B experiments) and statistical methodsAbility and experience in extracting insights from data, and summarizing learnings / takeawaysMarketing/product data science or consulting experienceSearch Engine Optimization analytics experienceAdvanced experimentation experience including multivariate and causal analysisExperience working on web analytics (behavioral analytics)Detailed knowledge of data warehouse technical architecture, infrastructure components, ETL, and reporting/analytic tools and environmentsSolid understanding of source data, its strengths, weaknesses, semantics, and formats; solid knowledge of logical and physical data modeling concepts (relational and dimensional)Someone who is willing to contribute new ideas and articulate them to a variety of business partners and not just execute on existing ones
For onsite roles or roles that require periodic onsite visits, LegalZoom requires all employees to be fully vaccinated for COVID-19 before starting work, unless precluded from doing so by applicable law. The CDC currently defines “fully vaccinated” as two weeks after the second dose for Pfizer and Moderna, and two weeks after the single dose of Johnson & Johnson. LegalZoom will require proof of vaccination before a successful applicant’s first day of work, and will consider requests for exemption from this requirement during the offer phase (1) as a reasonable accommodation for medical reasons or sincerely held religious beliefs where the accommodation would not LegalZoom undue hardship or pose a direct threat to the health and safety of others, or (2) for other reasons under applicable law.
Join us in making a difference as we build our future and help ensure access to professional legal advice to all! LegalZoom is an equal opportunity employer, dedicated to diversity, equality, and inclusion, and provides equal employment opportunities to all employees and applicants for employment.  LegalZoom prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.#LI-REMOTE


Staff Data Scientist Marketing Analytics

Description
About LegalZoom
We're here to make legal help accessible to all. LegalZoom transformed the legal industry with the launch of our online services and groundbreaking technology in 2001. Since then, millions of customers have counted on us to officially start and run businesses, protect brands and intellectual property, and look after loved ones through wills and trusts.
As the industry leader for over 20 years, innovation remains at the center of all we do. We're creative thinkers and problem solvers with a passion for building legal and tax products that make a positive impact on the world, and we're always looking for exceptional people to push us further.
With us, you'll do work that's as rewarding as it is challenging with a team where every voice matters and diversity, equality, and inclusion are truly embraced. Together, we'll continue to democratize the law and make a real difference in the lives of millions.
Remote-first
Since March 2020, our Zoomers have worked remotely and reported an overall better work-life balance with more time for family and personal wellness.
At the end of 2021, LegalZoom made the official commitment to being a remote-first company. Remote-first means that there is no expectation that Zoomers come into an office for a fixed number of days outside of those employees identified as essential onsite workers. While we remain a remote-first culture, our local offices have evolved as collaboration spaces for Zoomers to meet and engage in person.
Overview
The Data Science and Engineering team at LegalZoom helps us make measurably better decisions, faster.  We do this through everything from shaping our marketing strategy to running experiments that let us know how well our strategy is performing.   As a Staff Data Scientist on our Marketing Data Science team, you’ll tackle many of the existential questions facing our business.  Questions such as which prospective customers should we target, how do we segment our customers & develop contact strategies that maximizes engagement and future revenue streams from key subscriber segments, and what should our pricing strategy be are all places where we are working to help make better decisions.
You will
Perform descriptive and predictive analyses to form hypotheses about how we can grow the business through better marketing spend and sales operations Influence LegalZoom leadership to pursue our hypotheses so that we better serve customers and grow our business Design and run experiments to test our hypotheses, including the definition of metrics that will enable us to understand customer behavior Interpret experiment results and use them to drive strategic and tactical recommendations for how to better reach our customers Provide insights at scale through building pipelines and dashboards that share the metrics you’ve created to provide us a more complete view of our customers Work closely with Marketing and Sales to help them better understand how to use data as well as form their own hypotheses so we can move faster
You have
Be a key driver of marketing strategy, by thinking beyond immediate analysis to understand the long-term implications of actionsExperience with ROAS, CAC, LTV, and MMMBasic qualifications: M.S. or Bachelors degree in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields(If M.S. degree, a minimum of 1+ years of industry experience required and if Bachelor's degree, a minimum of 2+ years of industry experience as a Data Scientist or equivalent)Advanced SQL expertiseBasic understanding of experimental design (such as A/B experiments) and statistical methodsAbility and experience in extracting insights from data, and summarizing learnings / takeawaysMarketing/product data science or consulting experienceSearch Engine Optimization analytics experienceAdvanced experimentation experience including multivariate and causal analysisExperience working on web analytics (behavioral analytics)Detailed knowledge of data warehouse technical architecture, infrastructure components, ETL, and reporting/analytic tools and environmentsSolid understanding of source data, its strengths, weaknesses, semantics, and formats; solid knowledge of logical and physical data modeling concepts (relational and dimensional) Someone who is willing to contribute new ideas and articulate them to a variety of business partners and not just execute on existing ones
For onsite roles or roles that require periodic onsite visits, LegalZoom requires all employees to be fully vaccinated for COVID-19 before starting work, unless precluded from doing so by applicable law. The CDC currently defines “fully vaccinated” as two weeks after the second dose for Pfizer and Moderna, and two weeks after the single dose of Johnson & Johnson. LegalZoom will require proof of vaccination before a successful applicant’s first day of work, and will consider requests for exemption from this requirement during the offer phase (1) as a reasonable accommodation for medical reasons or sincerely held religious beliefs where the accommodation would not LegalZoom undue hardship or pose a direct threat to the health and safety of others, or (2) for other reasons under applicable law.
Join us in making a difference as we build our future and help ensure access to professional legal advice to all! LegalZoom is an equal opportunity employer, dedicated to diversity, equality, and inclusion, and provides equal employment opportunities to all employees and applicants for employment.  LegalZoom prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.  #LI-REMOTE


Staff Data Scientist Operations

Description
About LegalZoom
We're here to make legal help accessible to all. LegalZoom transformed the legal industry with the launch of our online services and groundbreaking technology in 2001. Since then, millions of customers have counted on us to officially start and run businesses, protect brands and intellectual property, and look after loved ones through wills and trusts.
As the industry leader for over 20 years, innovation remains at the center of all we do. We're creative thinkers and problem solvers with a passion for building legal and tax products that make a positive impact on the world, and we're always looking for exceptional people to push us further.
With us, you'll do work that's as rewarding as it is challenging with a team where every voice matters and diversity, equality, and inclusion are truly embraced. Together, we'll continue to democratize the law and make a real difference in the lives of millions.
Remote-first
Since March 2020, our Zoomers have worked remotely and reported an overall better work-life balance with more time for family and personal wellness.
At the end of 2021, LegalZoom made the official commitment to being a remote-first company. Remote-first means that there is no expectation that Zoomers come into an office for a fixed number of days outside of those employees identified as essential onsite workers. While we remain a remote-first culture, our local offices have evolved as collaboration spaces for Zoomers to meet and engage in person.
Overview
The Data Science and Engineering team at LegalZoom helps us make measurably better decisions, faster.  We do this through everything from shaping our operational strategy in Sales, Care and Fulfillment  to identifying opportunities and implementing solutions.
As a Staff Data Scientist on our Operations Data Science team, you’ll tackle many of the existential questions facing our operations. You will work with Business leaders, Product Managers, Engineers, Sales and Operations Associates to improve Legalzoom practices. You will think critically and apply statistical methods to solve challenges in these areas. Questions such as how do we optimize our buying experience? How do we organize our contact center to meet customers where they want to engage? Where do we invest in automation and self service?
You will
Be a key driver of operational product strategy by thinking beyond immediate analysis and understanding the long-term implications of actionsPerform descriptive and predictive analyses to form hypotheses about how we can grow the business through building better experiencesInfluence LegalZoom leadership to pursue our hypotheses so that we better serve customers effectively and grow our business Design and run experiments to test our hypotheses, including defining metrics that enable us to understand product experienceInterpret experiment results and use them to drive strategic and tactical recommendations for how to improve our products Provide insights at scale through building pipelines and dashboards to provide a more complete view of our products Work closely with Product, Engineering, Sales, Care and Operations partners to help them understand the data and form their own hypotheses so we can move faster Explore, automate, and leverage our data in analyses that will shape Legalzoom productsWork with fellow data scientists to continually improve our code and data best practices, prioritizing long-term data hygiene
You have
Basic qualifications: M.S. or Bachelors degree in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields(If M.S. degree, a minimum of 1+ years of industry experience required and if Bachelor's degree, a minimum of 2+ years of industry experience as a Data Scientist or equivalent)Advanced SQL expertiseUnderstanding of experimental design (e.g. A/B experiments) and statistical methods (e.g. Bayesian inference)Ability and experience in extracting insights from data, and summarizing learnings / takeawaysProduct data science or consulting experienceAdvanced experimentation experience including multivariate and causal analysisExperience working on web analytics (behavioral analytics)Detailed knowledge of data warehouse technical architecture, infrastructure components, ETL, and reporting/analytic tools and environmentsSolid understanding of source data, its strengths, weaknesses, semantics, and formats; solid knowledge of logical and physical data modeling concepts (relational and dimensional)Someone who is willing to contribute new ideas and articulate them to a variety of business partners and not just execute on existing ones
For onsite roles or roles that require periodic onsite visits, LegalZoom requires all employees to be fully vaccinated for COVID-19 before starting work, unless precluded from doing so by applicable law. The CDC currently defines “fully vaccinated” as two weeks after the second dose for Pfizer and Moderna, and two weeks after the single dose of Johnson & Johnson. LegalZoom will require proof of vaccination before a successful applicant’s first day of work, and will consider requests for exemption from this requirement during the offer phase (1) as a reasonable accommodation for medical reasons or sincerely held religious beliefs where the accommodation would not LegalZoom undue hardship or pose a direct threat to the health and safety of others, or (2) for other reasons under applicable law.
Join us in making a difference as we build our future and help ensure access to professional legal advice to all! LegalZoom is an equal opportunity employer, dedicated to diversity, equality, and inclusion, and provides equal employment opportunities to all employees and applicants for employment.  LegalZoom prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
#LI-REMOTE