Data Scientist

Loop is in an unparalleled position to provide data to our merchants that no one else can replicate. Data will be at the core of everything we do and some of our most critical work as we grow. Our future is to create data-based products that use modern techniques to deliver data and invaluable insights. We're establishing the conditions to allow anyone to answer most of their business questions independently, and you'll contribute to the frameworks and culture that reward the effective utilization of data across the organization.

The Data Team is part of the Engineering department and is responsible for analytics, data platforms and data engineering, and data science. Our work mainly involves:
- Building enterprise-wide data models for on-demand, tactical, strategic, and self-service data analysis
- Maintaining, updating, and expanding the data platform
- Developing data products
- Conducting advanced analytics initiatives for internal and external users

As part of the Data Team, the Analytics Team works in a hybrid operational model performing analyses for specific business functions such as Marketing, Merchant Success, Product, and Finance. The data used in this work comes from dbt models curated by the Analytics Engineering team, and depending on scope, recurrence, and audience, results are usually shared using either Hex or Looker.

As a Data Scientist at Loop, you'll significantly impact our ability to solve merchant problems and fulfill merchant needs. Your work interpreting and synthesizing large-scale data and outputs will guide business decisions made by internal stakeholders at all levels. You will be successful in this role if you're self-motivated and can run projects independently while collaborating with team members and business stakeholders. Success in this role also includes partnering with stakeholders and deep diving into business problems while simplifying and communicating complex analyses into easily accessible and impactful terms in written and verbal formats.

Loop HQ is a state-of-the-art office located in Columbus, Ohio, and more than half of our team works remotely across the United States and Canada. You can join us in the Columbus office or stay fully remote in this role.

Our tech stack: Fivetran, dbt, Snowflake, Looker, Hex

What You'll Do:

Extract data from various sources, perform exploratory data analysis, and cleanse, massage, and aggregate data.
Develop quantitative analysis, tools, ad hoc reports, and models to support business decision-making.
Utilize statistical concepts and descriptive statistics to understand and describe relationships in data, adding confidence to our analysis.
Build predictive models and complex descriptive analytics, such as segmentations and hypothesis testing.
Partner with Data Engineering and Analytics Engineering to implement analytic insights and recommendations into business processes.
Write high-quality code (i.e., reliable, readable, efficient, testable), provide quality code reviews, and create comprehensive tests and documentation.
Have a good understanding of general business trends and directions to put your work in a broad business context.

Your Experience:

3+ years of experience in data science, decision science, or similar quantitative fields.
3+ years of experience with statistical or scripting software such as Python or R applied to data and statistical analysis.
2+ years of experience writing and optimizing complex SQL.
Statistical modeling and data analysis experience, e.g., significance testing, regression modeling, decision trees, and k-means clustering.
Familiarity with advanced statistical methods (Bayesian, GLM, time series) or machine learning (boosting, CART, neural networks, SVM).
Experience finding, cleaning, and manipulating data from multiple sources to build analytical data sets.
Experience defining simple, intuitive, and actionable metrics to focus decision-making.
An ability and interest in working in a fast-paced, ambiguous, and rapidly changing environment.

Nice-to-have Experience:

Experience working at an e-commerce company.
Experience with analytics visualization platforms like Looker or Tableau.
Background working in an Agile environment.

$116,000 - $174,000 a year
- We know that making decisions about your career and compensation is a huge deal. Because of that, we’re incredibly thoughtful about our compensation strategy. We want you to feel safe and excited, but also comfortable with the compensation package of a startup. We’ve outlined some important information for you here, but please know there’s a lot more to compensation than we can cover in this job posting.
- The posted salary range is the base salary for this opportunity. The salary range is subject to change, and may be adjusted in the future.
- The actual annual salary paid for this position will be based on several factors, including, but not limited to: your prior experience and skills related to the position, geographic location, company needs, current market demands, and your total compensation goals.
- Great humans deserve great benefits. At Loop, you’ll be eligible for benefits such as: medical, dental, and vision insurance, flexible PTO, company holidays, sick & safe leave, parental leave, 401k, monthly wellness benefit, home workstation benefit, phone/internet benefit, and equity.

In a perfect world, Loop wouldn't exist. If we had our way, we'd live in a world where we're mindful about how we consume, we love every product we own, and we share values with the brands who create them. In reality, commerce isn't perfect and often breaks. Loop creates second chances.

We're starting by revolutionizing the post-purchase experience. We've taken one of the most fragile commerce interactions - returns - and turned it into something consumers actually love, and that deepens our connection to brands and products.

We take connection seriously on the inside, too. We're building a work experience that allows you to Be A Human First and prioritizes empathy and wellbeing. We view Loop as a special place in your career to shape the future of an industry and become a better person while doing it. You can grow faster here in a shorter amount of time - we'll give you space and trust you to fill it.

Learn more about us here: https://loopreturns.com/careers.

You can review our privacy notice here.


Principal Data Scientist

Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $2B in revenue in our last fiscal year with extensive growth potential ahead.

At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors.

As a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment.

Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities.

The Role

Link is a pillar in the Veeva system landscape that envisions "Connecting life sciences and key people to improve research and care." Our product offers real-time academics, social, and medical data to build comprehensive profiles. These profiles help our life-science industry partners find the right experts to accelerate the development and the adoption of new therapeutics. We accelerate clinical trials and equitable care. We are proud that our work helps patients receive their most urgent care sooner.

Your work will shape the product roadmap for the entire family of Link products, especially newer products such as Link for Trials. You will design and create an end-to-end pipeline to extract predefined categories of information from big unstructured data in multi-domain and multi-lingual setups. You will have access to cloud infrastructure to develop your model and support from a team of software developers and DevOps engineers to deploy it to production.

We want to develop new algorithms to redefine the industry expectations for quality vs. quantity compromise. We train ML models empowered by over 1900 curators to meet both the quality and the scale requirements. ML models complement and learn from continuous curation and scale our solutions to different regions, languages, and medical specialties.

You are welcome to work remotely from any location within the United Kingdom. It's essential that you reside in the United Kingdom and have legal authorization to work without needing Veeva to assist with visa or relocation matters. If your circumstances differ (for instance, if you're planning to relocate to the United Kingdom), we're open to considering your application, especially if you're a remarkable fit for the role. In such scenarios, please provide an additional note detailing your situation and what makes you an exceptional candidate.

What You'll Do

Develop machine learning models at scale and in the AWS cloud to structure and analyze scientific data
Adopt the latest technologies and trends in AI
Use and develop named entity recognition, entity-linking, slot-filling, few-shot learning, active learning, dense passage retrieval, and other statistical techniques and models for information extraction and machine reading
Deeply understand and analyze our data model per data source and geo-region and interpret model decisions
Collaborate with data quality teams to define annotation tasks, metrics, and perform a qualitative and quantitative evaluation
Collaborate with engineering teams to implement models at a terminal scale

Requirements

8+ years of experience as a data scientist (or 6+ years with a relevant Ph.D. degree)
Fluent in Python/Java and bashing scripts
Excellent analytical skills and data curiosity
Superior communication and presentation skills
Mastery in at least one framework for BigData (e.g. Spark, DASK) and one framework for Deep Learning (e.g. Tensorflow, PyTorch)
Mastery of Machine Learning, including up-to-date knowledge of the latest ML innovations and frameworks
Used to start-up environments
Social competence and a team player
High energy and ambitious
Agile mindset

Nice to Have

Experience in life/health science industry, notably pharma
Background in clinical (trial) data
Having published in AI space in a peer-reviewed journal/conference
Production-grade development Skills
Cloud development, especially AWS
Experience in NLP, NER, deduplication, entity-linking, graph-processing, or reinforcement learning
Leadership skills and a solid network to help in hiring and growing the team
Experience in containerization, Kubernetes, or relevant distributed computing technologies
Experience with NoSQL databases, especially MongoDB
Familiarity with model registry solutions such as MLflow

Perks & Benefits

Work anywhere
Personal development budget
Veeva charitable giving program
Fitness reimbursement
Life insurance + pension fund

#RemoteUK

Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.

Veeva is committed to fostering a culture of inclusion and growing a diverse workforce. Diversity makes us stronger. It comes in many forms. Gender, race, ethnicity, religion, politics, sexual orientation, age, disability and life experience shape us all into unique individuals. We value people for the individuals they are and the contributions they can bring to our teams.


Product Scientist

Introduction:
We are looking for a Product Scientist to join our WORDLE! team. In this role, you will work closely with our General Manager to:

Translate business requirements into technical implementations via instrumentation in games to collect necessary data
Collaborate with the team to proactively drive feature roadmaps with data
Collaborate with the team to implement personalization and optimization algorithms that make real-time changes to player experience.
Take ownership over all aspects of analysis for Wordle!, set up new Looker dashboards, help instrument new features, and proactively look for opportunities via data to suggest new feature development or tuning.

Responsibilities:

Setup and manage existing game feature launches with adherence to deadlines (.e.g., event tracking, soft launch intelligence, etc.)
Work with the product team to define the experimentation roadmap
Design, run and evaluate experiments to answer questions about the motivations driving player behavior and how that varies for different segments
Perform exploratory and performance analyses to identify and recommend opportunities for enriching player experiences, driving monetization and creating compelling and entertaining Live Ops events
Perform diagnostic analyses to uncover sources of problematic data and/or unexpected player behavior
Build analytical models for segmenting and describing user behavior to drive decisions and collaborate with Data Scientists to identify opportunities for personalizing and optimizing the player experience
Develop Looker Explores, Dashboards and Looks to empower stakeholders to answer questions autonomously

Required Qualifications:

2 - 4 years of professional experience. Specific experience with social games, mobile apps, and/or cognitive sciences is strongly preferred.
Bachelor’s degree in a quantitative field. Honors thesis or Master’s degree with thesis is strongly preferred.
Experience designing, running and evaluating quantitative experiments
Proficient with R and/or Python for data modeling and analysis
Proficient with SQL
Ability to be-self sufficient and execute quickly when given autonomy
Flexible team player who will thrive in a dynamic, constantly evolving environment
Excellent English and communication skills

Bonus Points:

Experience with Snowflake
Experience with Databricks
Experience with Looker development
Knowledge of mobile gaming metrics and the mobile gaming industry
Product focused mindset
A passion for games (of any type)

AppLovin provides a competitive total compensation package with a pay for performance rewards approach. The expected base pay range for this position is $92,000 - $141,000. Base compensation at AppLovin is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Depending on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical and other benefits.


Senior Data Scientist

About the Role:
We seek a Senior Data Scientist to join Lion Studios’ Data Science R&D team! On the R&D team, we conduct algorithmic research for mobile gaming applications, support the Data organisation as a whole with reproducible solutions and mentorship and collaborate closely with two of the five game teams to implement Data Science solutions that maximize the return of user acquisition campaigns, optimize game parameters and personalize player experiences. In this role, you will architect, develop, and deploy Data Science solutions in casual mobile games spanning hundreds of millions of players. You will be responsible for designing, developing and maintaining Data Science products in production, including an early-stage Reinforcement Learning dynamic difficulty system.
Responsibilities:

Optimizing and Personalizing Games: Collaborate with our Match and New Games game teams to optimize game systems and personalize user experiences. Titles include:  Match 3D (iOS/Android), Match Tile 3D (iOS/Android), Card Shuffle Sort (iOS/Android) and Found It! (iOS/Android).

Developing Data Science Solutions: Research new modelling algorithms, languages, packages, and statistical tools to enhance the overall productivity of the team. Develop intelligence systems that layer explainability over Data Science solutions, driving Game Design roadmaps.

Collaborating Across Functions: Work with the Platform team to generalize solutions for portfolio-wide use, democratizing R&D team successes across the Lion Studios’ portfolio.

Contributing and Mentoring: Contribute modules to an in-house Python/Pyspark library for use by the broader Data organization. Mentor members of the Data organization on Data Science solutions, approaches to experimentation, driving roadmaps, and solving problems.

Promoting a Data-First Culture: Inspire and support a data-first culture across the organization.

Requirements:

4+ years of experience launching Data Science solutions in Mobile Apps
1+ years of experience with Databricks, Snowflake and AWS (S3, Lambda)
1+ years of experience with stakeholder relationship development and project management
Advanced proficiency with Python/PySpark and SQL
Advanced proficiency with Reinforcement Learning solutions
Ability to thrive in a fast-paced environment handling multiple projects (1 large & 1-2 small)

Bonus Points:

Gaming industry experience

Experience with PyTorch

Experience with model fine-tuning (Hugging Face, Open AI)

Experience developing Python modules for use by others
MS degree or higher in a quantitative field
Background in Cognitive Psychology, Cognitive Neuroscience or Cognitive Science
Strong background in research methods and statistics


Senior Data Scientist

Company Description
Reverb is the largest online marketplace dedicated to buying and selling new, used, and vintage musical instruments. Since launching in 2013, Reverb has grown into a vibrant community of buyers and sellers all over the world. By focusing on inspiring content, price transparency, musician-focused eCommerce tools, a music-savvy customer service team, and more, Reverb has created an online destination where the global music community can connect over the perfect piece of music gear.
We believe that music makes the world a better place, which is why our mission is to make the world more musical. Sales on Reverb help support Reverb Gives, which provides youth music education programs across the world with instruments they need to make music.
Job Description
Reverb is a music gear marketplace, and we have a ton of data about music gear! These data come from over a decade's worth of listings, with varying degrees of structure and metadata. We’re looking for a Sr. Data Scientist to drive several projects to extract more useful information from those listings, as well as own the testing and measurement of any changes they make. We expect this is going to involve a significant amount of both supervised and unsupervised machine learning, as well as online controlled experimentation.
This role will report to a manager, but should require minimal direct supervision. You will be encouraged to lead and mentor more junior folks on the team as needed. We expect that strong candidates will have 4-7 years of meaningful experience, or an appropriate combination of a graduate degree and professional experience.
This position is based in Chicago and is open to fully remote or hybrid candidates.
This is a full-time position reporting to the Manager of Data Science of our Analytics team. For candidates located in NYC, San Jose, San Francisco, or Seattle, please visit this link for compensation information. For candidates in all other eligible locations, the base salary range will be $101,000 - $131,000 USD per year.
Primary Responsibilities
Partner with product and engineering teams to find opportunities to enrich our structured music gear data, using machine learning tools that you will developIterate on existing tooling for extracting information from and attribution information to our music gear listingsCollaborate in the development, execution, and analysis of A/B tests and other online experiments
Qualifications
Tools
Our ML stack is built on Anyscale and a combination of models built in PyTorch and open-sourced transformers from HuggingFaceWe’re primarily a Python shop for data science workMost SQL-related work will involve Redshift; we use dbt for transformationWe share most analyses via data visualization tools, specifically Looker and AmplitudeWe use Slack, GitHub, Atlassian tools (like JIRA and Confluence), and Google GSuite (like sheets, slides, docs, and drive) to communicate, share, and document
Additional Information
Reverb offers compensation packages that include base, bonus, and equity in the form of Etsy restricted stock units. Some of our key benefits include but are not limited to the following:
100% paid premiums for medical, dental, and vision coverage for the employee, spouse or domestic partner, and all eligible dependents. Medical coverage includes gender affirming care.Life, AD&D, and supplemental long-and short-term disability insuranceA matching 401(k)A generous PTO policy that includes vacation, sick/mental health days plus 11 paid holidays and two floating holidaysProfessional development and continued learning opportunities through access to mentoring, 1:1 coaching, and platforms like Skillsoft, LinkedIn Learning and Codecademy 18 weeks of gender-neutral parental leave for the birth or adoption of a childUp to $25,000 reimbursement of adoption and/or surrogacy related expensesPaid sabbatical program$1,000 annual work/life stipendAccess to free supplemental online mental health services and meditation apps Ways to give back to your community through a charitable contribution match and volunteer time off
At Reverb, we believe that a diverse, equitable and inclusive workplace makes us a more relevant and resilient company. We welcome people from all backgrounds, ethnicities, cultures, and experiences. Reverb is an equal opportunity employer. We do not discriminate on the basis of race, color, ancestry, religion, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender identity or expression, veteran status, or any other legally protected status. We will ensure that individuals with disabilities are provided a reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment.
We know that the impostor syndrome and confidence gap are real. Please do not hesitate to apply!
#LI- ZW1


Data Scientist

Job Description:Unleash your analytical and technical skills as a hands-on Data Scientist in our brand-new Data Science team. In this role, you’ll embark on an exhilarating journey where you’ll tackle a wide range of exciting challenges throughout our project’s entire lifecycle. From the initial phase of data sourcing and exploration to pivotal moments of model selection, validation, evaluation and deployment at scale, you’ll be at the forefront of it all.As our Data Scientist, you’ll have the opportunity to build innovative data models, develop groundbreaking data products, and deliver remarkable analysis using vast datasets relevant to the health care system in the United States.Join our extraordinary team of sharp, witty, and dedicated colleagues who are deeply passionate about data and improving patient access to healthcare. We’re looking for a seasoned professional who can effortlessly collaborate with business stakeholders, translate their needs into technical solutions, and bring those solutions to life.What You'll Do:
Harness the potential of Phreesia’s massive and ever-growing datasets to create data products that provide actionable business insights.
Use NLP techniques to parse, process, and structure textual data, improving the way we extract value from information.
Develop efficient methods for classifying and characterizing patient populations, optimizing targeted engagement strategies on a grand scale.
Navigate and use diverse machine learning stacks in Python.
Quickly prototype ideas and solve complex problems by adopting creative approaches.
Take ownership of data products, carefully tracking their lifecycle from conception to implementation.
What You'll Bring:
A bachelor’s degree in a quantitative field such as data science, computer science, engineering, mathematics, statistics, computational linguistics, physics, etc with 5+ years of relevant work experience OR a MS/MA in a quantitative field with 2+ years of experience
Excellent SQL Skills to manipulate and extract insights from complex data.
Professional command of common Data Science  toolsets in Python (data manipulation, data modelling, and general ML)
Experience using NLP toolsets is required
Experience with graph databases
Experience contributing production-level code using version control
Experience in using statistical principles, enabling you to make informed decisions through experimental design, significance test, A/B testing, and causal inference
Ability to organize, visualize, and present complex data in a way that tells a compelling story and drives decision making
Base pay for US is $120,000 - $145,000 USD, depending on qualifications. In addition, Phreesia also offers equity as part an attractive & comprehensive Total Rewards package.Who We Are:At Phreesia, we’re looking for smart and passionate people to help drive our mission of creating a better, more engaging healthcare experience. We’re committed to helping healthcare organizations succeed in an ever-evolving landscape by transforming the way healthcare is delivered. Our SaaS platform digitizes appointment check-in and offers tools to engage patients, improve efficiency, optimize staffing, and enhance clinical care.Phreesia cares about our employees by providing a diverse and dynamic work environment. We’re a five-time winner of Modern Healthcare Magazine’s Best Places to Work in Healthcare award and we’ve been recognized on the Bloomberg Gender Equality Index. We are dedicated to continuously improving our employee experience by launching new programs and initiatives. If you thrive in a culture of recognition, value inclusivity, professional development, and growth opportunities, Phreesia could be a great fit!
Top-rated Employee Benefits:

100% Remote work + home office expense reimbursements
Competitive compensation + equity grants for all employees
Flexible PTO + 8 company holidays
Monthly reimbursement for cell phone + internet + wellness
100% Paid 12-week parental leave to our U.S. employees, as well as a generous parental benefit to our employees in Canada
Variety of insurance coverage for people (and pets!)
Continuing education and professional certification reimbursement

We strive to provide a diverse and inclusive environment and are an equal opportunity employer.


Senior Data Scientist

Job Description:Phreesia is looking for an experienced and hands-on Senior Data Scientist to join our growing Data Science Team; someone with extraordinary analytical and technical skills who is familiar with the entire lifecycle of a data science project, from data exploration, modeling and analysis, to model selection, validation, evaluation, and deployment.You will be joining a team of especially smart, humorous, quick-witted, and dedicated coworkers, all passionate about data and improving patient access to healthcare. You will be responsible for strategic planning, building data products for internal consumption, near real-time business intelligence tools, and predictive models. We are looking for someone experienced in partnering with business stakeholders, translating their needs into technical solutions and answers, and then building and delivering those solutions. This role will report directly to the Director of Data Science.What You'll Do
Leverage Phreesia’s massive and ever-growing dataset to design and build data products that provide actionable business insights
Use NLP techniques to parse, process, and structure textual data
Develop methods to efficiently classify and characterize patient populations
Optimize targeted engagement strategies through modeling, forecasting, and evaluation
Navigate and use diverse machine learning stacks in Python and R
Quickly prototype ideas and solve complex problems by adapting creative approaches
Build customized dashboards for internal and external clients
Take ownership of data products and ensure they are properly tracked throughout their lifecycle
Participate in strategic project planning and reporting to executive leadership
Write clean, well-tested, code that will stand the test of time
Be an expert communicator: you could summarize your daily progress in a tweet
What You'll Bring
Bachelor's Degree required; MS/MA in a quantitative field such as data science, computer science, engineering, mathematics, statistics, computational linguistics, physics, or relevant equivalent professional experience
5+ years of experience in an operational Data Science role
MS/MA in a quantitative field such as data science, computer science, engineering, mathematics, statistics, computational linguistics, physics, or relevant equivalent professional experience
Experience using NLP toolsets
Experience in using statistical principles to inform decision making (experimental design, significance tests, a/b testing)
Excellent interpersonal and communication skills, both written and verbal
Ability to organize, visualize, and present complex data in a way that tells a compelling story and drives decision making
Excellent SQL skills and experience with large datasets
Experience contributing professional-level code using version control
Experience in collaborating with Data Scientists and Data Engineers to propose, test, validate, evaluate, and deploy Machine Learning models
Healthcare experience and a basic understanding of clinical terms is preferred but not required.
Technology You'll Use
Knowledge graphs, vector similarity search, large language models
Professional command of common Data Science and Machine Learning toolsets in Python
GitLab for CI/CD, Apache Airflow, web frameworks such as Python Flask or R Shiny
Kubernetes, Docker, and other containerization frameworks
AWS services including S3, EMR, Glue, SageMaker, Redshift, and Athena
Spark NLP, nltk, spaCy, and other NLP toolsets
Base pay for US is $150K - $170K USD, depending on qualifications. In addition, Phreesia also offers equity as part an attractive & comprehensive TotalWho We Are:At Phreesia, we’re looking for smart and passionate people to help drive our mission of creating a better, more engaging healthcare experience. We’re committed to helping healthcare organizations succeed in an ever-evolving landscape by transforming the way healthcare is delivered. Our SaaS platform digitizes appointment check-in and offers tools to engage patients, improve efficiency, optimize staffing, and enhance clinical care.Phreesia cares about our employees by providing a diverse and dynamic work environment. We’re a five-time winner of Modern Healthcare Magazine’s Best Places to Work in Healthcare award and we’ve been recognized on the Bloomberg Gender Equality Index. We are dedicated to continuously improving our employee experience by launching new programs and initiatives. If you thrive in a culture of recognition, value inclusivity, professional development, and growth opportunities, Phreesia could be a great fit!
Top-rated Employee Benefits:

100% Remote work + home office expense reimbursements
Competitive compensation + equity grants for all employees
Flexible PTO + 8 company holidays
Monthly reimbursement for cell phone + internet + wellness
100% Paid 12-week parental leave to our U.S. employees, as well as a generous parental benefit to our employees in Canada
Variety of insurance coverage for people (and pets!)
Continuing education and professional certification reimbursement

We strive to provide a diverse and inclusive environment and are an equal opportunity employer.


Data Scientist

Esc
Data Scientist
United States

(Remote)
Trending
Job Description
We are seeking a highly skilled and motivated Data Scientist to join our Quality Analytics team within the Global Data Insights and Analytics (GDIA) organization at Ford Motor Company. As a Data Scientist specializing in Natural Language Processing (NLP) Modeling, you will play a critical role in developing innovative solutions to enhance the quality analytics capabilities of our organization.
Responsibilities
What you'll be able to do:
Develop and deploy NLP models to extract insights from unstructured textual data.
Collaborate with cross-functional teams to identify opportunities and develop strategies for applying NLP techniques to enhance quality analytics.
Design and implement data preprocessing and feature engineering techniques for NLP tasks.
Utilize supervised and unsupervised machine learning techniques to solve complex NLP problems.
Evaluate and fine-tune models for performance optimization, accuracy, and efficiency.
Contribute maintainable code to existing and new pipelines.
Stay up-to-date with the latest advancements in NLP and contribute to the continuous improvement of our methodologies and algorithms.
Communicate findings, insights, and recommendations to stakeholders in a clear and concise manner.
Qualifications
The minimum requirements we seek:
Master’s degree in Computer Science, Data Science, Statistics, or a related field.
2+ years of hands-on experience in Python programming for data analysis and machine learning.
2+ years of experience with NLP libraries and frameworks such as NLTK, spaCy, and Gensim.
2+ years of experience working with large language models (LLMs) such as GPT-3, BERT, or similar.
2+ years of experience with both supervised and unsupervised machine learning techniques.
Our preferred requirements:
Ph.D. in Computer Science, Data Science, Statistics, or a related field.
Knowledge of deep learning frameworks such as TensorFlow or PyTorch.
Industry experience in NLP modeling, preferably within the automotive or related domains.
Familiarity with cloud platforms, such as GCP (Google Cloud Platform), and an ability to adapt and leverage multiple cloud environments.
Strong communication skills, with the ability to effectively collaborate with cross-functional teams and communicate complex technical concepts to non-technical stakeholders.
What you’ll receive in return:
As part of the Ford family, you’ll enjoy excellent compensation and a comprehensive benefits package that includes generous PTO, retirement, savings, and stock investment plans, incentive compensation, and much more. You’ll also experience exciting opportunities for professional and personal growth and recognition.
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.  Visa sponsorship is available for this position.
We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status, or protected veteran status.
For information on Ford's salary and benefits, please visit: https://corporate.ford.com/content/dam/corporate/us/en-us/documents/careers/2023-benefits-and-comp-GSR-sal-plan-2.pdf
Apply Now
Job Info

    Job Identification
15109

    Job Category
Global Data Insight & Analytics

    Posting Date
07/19/2023, 02:42 PM

    Degree Level
Master's Degree or equivalent

    Job Schedule
Full time

    Locations

            22001 Michigan Avenue, Dearborn, MI, 48124, US

    (Remote)

    Preferred Degree
Doctor of Philosophy

    Remote
Yes

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Senior Data Scientist Product Analytics

Working at Atlassian
Atlassians have flexibility in where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Your future team
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, relevant insights, and recommendations.
We're growing quickly, so you'll need to help scale the processes for sustainable growth across the Economy organization. If you love finding patterns amidst chaos, making quick decisions, and aren't afraid of being wrong, this is a great fit!
What you'll do
Use data to understand complex customer experiences on Atlassian's website (e.g. www.atlassian.com, support.atlassian.com and confluence.atlassian.com). Analyze how customers navigate our website and identify opportunities for improvement.Define success metrics and report on KPI for Atlassian's websites. Research and explain trends and their impact on the success of the overall business.Accelerate web experimentation through best practices, tooling and clear recommendations.Build instrumentation and web tracking in collaboration with partners and engineers to establish a solid data foundation for this space.Collaborate with engineers, marketers & senior leadership to bring data to the forefront of our decisions.
Your background
5+ years of experience in analytics, data science, or other quantitative fieldAdvanced proficiency in SQLExperience defining and auditing web instrumentation requirements and web analyticsExperience designing and analyzing various types of web experimentation (e.g. A/B testing quasi-experimentation, rollout etc.)Experience collaborating with senior management and translating insights into decisions and actionsAn knack for crafting raw data and analysis into well-written contentwhile maintaining the highest standard of workProficiency with data visualization best practices and tools such as TableauFamiliarity partnering with multiple business functions. For example: Product Management, Engineering, Design, Finance, Customer Research and Data Engineering teamsAn agile development mentality, appreciating the benefit of constant iteration and improvement


Data Science Lead

Job Title:  Data Science lead
Reports To: VP of Engineering
Location: Remote
Department:  Engineering
Status:  FT Exempt

About the Company:
Octave is a modern behavioral health practice creating a new standard for care delivery that’s both high-quality and accessible to more people. With in-person and virtual clinics in California, Connecticut, Florida, New Jersey, New York, Texas, and Washington D.C., the company offers personalized care plans that can include individual, couples, and family therapy, while pioneering relationships with payers to make care more affordable through insurance. By raising the bar on how care is delivered and how providers are supported, we are building a sustainable system that values equity, affordability, and effectiveness.

Job Summary:
 We are seeking an experienced and motivated Data Science Lead to join Octave. As the Data Science Lead, you will play a crucial role in driving our data-driven decision-making process and shaping our data science team from the ground up. We are looking for someone with a strong practical background in data science who also has experience developing and implementing data science strategies in a fast-paced startup environment. Being the first member of this function at the organization, the individual should also have a desire and willingness to be hands on.

Duties/Responsibilities:

Drive data-driven decision-making: Collaborate closely with cross-functional teams, including product managers, analysts, engineers, and business stakeholders, to identify key business problems and develop data science solutions that drive growth and innovation.
Develop and implement data science strategies: Define the data science roadmap and vision, aligning it with the company’s overall goals and objectives. Drive the development and implementation of best practices, methodologies, and tools to enhance the team’s efficiency and effectiveness.
Hands-on data science work: You will also be expected to contribute directly to data science projects. This may involve data exploration, model development, statistical analysis, and predictive modeling to derive actionable insights and solutions.

Required Skills:

Practical data science expertise: Strong background in data science with hands-on experience in data exploration, statistical analysis, predictive modeling, and machine learning. Proficiency in Python, along with experience using relevant libraries and frameworks.
Startup experience: Prior experience working in a startup or similar fast-paced environment is crucial. Demonstrated ability to thrive in an agile and rapidly changing work environment, adapt to new challenges, and help scale a data science team as the company grows.
Strong communication and stakeholder management: Excellent communication skills, both verbal and written, with the ability to translate complex data science concepts into actionable insights for non-technical stakeholders. Experience collaborating with cross-functional teams and presenting findings and recommendations to senior leadership.
Analytical and problem-solving mindset: Strong analytical skills, attention to detail, and the ability to think critically and creatively to solve complex business problems using data science techniques. Experience with experimental design, A/B testing, and data-driven decision-making is highly desirable.

Join our innovative startup and take the lead in shaping our data science capabilities. Together, we will leverage data to drive meaningful insights, impact business outcomes, and build cutting-edge solutions. Apply now and be part of our exciting journey!

Physical Requirements:

Prolonged periods sitting at a desk and working on a computer.
Must be able to frequently communicate with others through virtual meeting applications such as Zoom and Google Meet.
Must be able to observe and communicate  information on company provided laptop.
The ability to lift 15 pounds regularly.

Compensation:
Octave is committed to pay equity. To maintain our commitment to pay equity, Octave will follow Pay Transparency regulations on all open job postings.  Current Pay Transparency laws require companies to include a position's salary or hourly wage range (not including bonuses or equity-based compensation) in any internal or external job posting. This requirement extends to job postings published by a third party at an employer's request.
Octave will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with Octave’s legal duty to furnish information.
Starting pay for qualified applicants will depend on a combination of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected salary range for this role is set forth below and this range may be modified in the future.

The salary range for this role is $200,000-$240,000 annually

Additionally, this position is eligible for the following benefits: company sponsored life insurance, disability and AD&D plans.  Voluntary benefits such as 401k retirement, medical, dental, vision, FSA, HSA, dependent care and commuter/parking options are also available.  Octave offers generous Paid Time Off as well as paid parental leave benefits.
Must be eligible to work in the United States without sponsorship now or anytime in the future

This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.


Senior Data Scientist New Initiatives

Role Description
How many times you get an opportunity to be at the ground floor on a very big and important mission? What if you get to be one of the top contributors defining the mission, guiding our teams and influencing the direction of Dropbox AI-first mission? As a Sr Data Scientist in Growth/GTM/Monetization for this new division, you will exactly get to do that. You will join a team of top-tier data scientists and be an inherent part of the product org to create and scale this new business.
As a ground floor opportunity for this startup team, we need this DS to build a top-tier data-informed culture with a strong background on the Growth/GTM/Monetization impacts and execution!
Responsibilities

You will serve as the Growth/GTM/Monetization data leader in balancing urgency vs. the incredibly high quality bar expected by both our customers and the broader Dropbox organization, through clear and repeatable data informed approach

You will partner closely with leadership across all functions while being focused on the Growth, Marketing, and monetization team work - Product, Engineering, Design, and Research

You will have the seat at the table for every key decision for growth and marketing strategies

You will build the reliable, efficient, and scalable data foundations and daily execution standards, tools, and processes for our AI products’ long-term growth

You will create a culture of strong technical ownership, resulting in highly reliable products and services at scale

You will leverage data-driven insights to proactively identify most impactful opportunities, and inform future experimentation design and product roadmaps

You will perform analytical deep-dives to analyze Growth/GTM/Monetization related user problems and opportunities, identify the hypothesis and design & execute experiments with great rigor and efficient data techniques

Requirements

Masters’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field

6+ years experience of leveraging data-driven analysis to influence key business decisions and executives, in Growth, GTM and Monetization fields, preferably in a tech company

4+ years serving as a technical leader and having hands-on experiences to work with data scientists, engineers, product managers, user researchers, and designers in Growth, GTM and Monetization fields

Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction & driver measurable business impact

Ability to influence prioritization and execution of high impact projects effecting customer experience, monetization, and marketing’s roadmap

Ability to analyze large datasets, to identify the key success metrics that product teams can take actions upon, with a track record of driving directly measurable product or business impact.

Be proficient with SQL, Python and other coding languages frequently applied in the growth  production environment, with deep understanding of statistical analysis & experiment design

Total Rewards

For candidates hired in San Francisco metro, New York City metro, or Seattle metro, the expected salary/On-Target Earnings (OTE) range for the role is currently $180,200 - $212,000 - $243,800.
For candidates hired in the following locations: Austin (TX) metro, Chicago metro, California (outside SF metro), Colorado, Connecticut (outside NYC metro), Delaware, Massachusetts, New Hampshire, New York (outside NYC metro), Oregon, Pennsylvania (outside NYC or DC metro), Washington (outside Seattle metro) and Washington DC metro, the expected salary/On-Target Earnings (OTE) range for the role is currently $162,200 - $190,800 - $219,400.
For candidates hired in all other US locations, the expected salary/On-Target Earnings (OTE) range for this role is currently $144,200 - $169,600 - $195,000.
Range(s) is subject to change. Dropbox takes a number of factors into account when determining individual starting pay, including job and level they are hired into, location/metropolitan area, skillset, and peer compensation. Dropbox uses the zip code of an employee’s remote work location to determine which metropolitan pay range we use.
Salary/OTE is just one component of Dropbox’s total rewards package. All regular employees are also eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs).


Senior Data Scientist Support Nlp And Causal Inference

About the Team
Come help us build the world's most reliable on-demand, logistics engine for delivery! We're bringing on talented data scientists to help us develop and improve the models that power DoorDash's three-sided marketplace of consumers, merchants, and dashers.
About the Role
As a support-focused Machine Learning Scientist you will have the opportunity to identify and prioritize machine learning investments across our support ecosystem. You will leverage our robust data and infrastructure to develop natural language processing and causal inference models that impact millions of users across our three audiences. You will partner with an engineering lead and product manager to set the strategy that moves the business metrics which help us grow our business.
You’re excited about this opportunity because you will…
Lead the development of DoorDash's support chatbot: Applying active learning, semi-supervised learning, weak label generation, and data augmentation strategies to improve the consumer, dasher, and merchant support experience
Drive the personalization of DoorDash's credit and refunds policies: Using uplift/heterogeneous treatment effect models and contextual bandits to improve consumer retention after negative delivery experiences
Spearhead the creation of next generation agent tools: Building contextual bandits to recommend replies to support agents and generative models for agent text auto-completion to improve the consumer, dasher, and merchant experience while reducing agent effort
Apply stratification, variance reduction, and other advanced experiment design techniques to create A/B tests to efficiently measure the impact of your innovations while minimizing risk to the broader system
You can find out more on our ML blog post here
We’re excited about you because…
High-energy and confident — you keep the mission in mind, take ideas and help them grow using data and rigorous testing, show evidence of progress and then double down
You’re an owner — driven, focused, and quick to take ownership of your work
Humble — you’re willing to jump in and you’re open to feedback
Adaptable, resilient, and able to thrive in ambiguity — things change quickly in our fast-paced startup and you’ll need to be able to keep up!
Growth-minded — you’re eager to expand your skill set and excited to carve out your career path in a hyper-growth setting
Desire for impact — ready to take on a lot of responsibility and work collaboratively with your team
Experience
4+ years of industry experience developing optimization models with business impact — more experience preferred
1+ years of industry experience serving in a tech lead role
M.S., or PhD. in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative field
Deep understanding of natural language processing techniques and procedures for efficiently acquiring and validating human-labeled data
Good understanding of many quantitative disciplines such as statistics, machine learning, operations research, and causal inference
Demonstrated familiarity with programming languages e.g. python and machine learning libraries e.g. SciKit Learn, Spark MLLib
Experience productionizing and A/B testing different machine learning models
Familiarity with advanced causal inferences techniques and contextual bandit algorithms preferred
About DoorDash
At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods. DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.
Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.
Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.
Pursuant to the Colorado Fair Pay Act, the base salary range in Colorado for this position is $141,525.00 -$191,475.00 , plus opportunities for equity and commission. Compensation in other geographies may vary.
If you need any accommodations, please inform your recruiting contact upon initial connection.


Pricing Scientist

We are a young and unconventional software company created in 2011 by experienced pricing software and pricing consulting professionals. As the first pureplay, native Cloud and SaaS provider in our industry, Pricefx became and intends to stay the leading SaaS Pricing (Price Optimization & Management) and CPQ (Configure-Price-Quote) vendor.We are an agile company that brings good ideas to life quickly and is committed to market-driven innovation. We are highly flexible, our customers are from diverse industries and sizes with brands like Michelin, Bosch, and Danone. We are a solid and sustainable company that is and will be strongly growing globally for the years ahead. It’s a great time to join us and grow with us.
Our Solution Delivery organization is currently looking for a Pricing Scientist to join our fast-growing team. The ideal candidate will be intricately involved in desgining, running, analizing and presenting data driven solutions that aim to improve our customers pricing practices. This is the perfect opportunity for the successful candidate to become a part of an innovative and energetic team that develops solutions which will influence both our products and clients.
Your mission?
To make data driven solutions simple to understand. You will be leading customer price optimization consulting engagements to individuals who may not always have an advanced knowledge of mathematical conceptsTherefore, you need to think simply, communicate effectively, and execute efficiently as you run online and onsite workshops and develop and configure these data driven solutions using PFX’s industry leading platform. .
You will be in charge of…
Support Pre-Sales efforts with prospective customers, including presentations, demonstrations, and proof-of-concept projects
Work on customer projects to develop, configure, implement, and support data driven solutions
Evangelize the power of data driven analysis, and bring truth to the hype surrounding AI
Support detailed PriceOptimizer training, including curriculum and delivery, to Pricefx new hires, customers, and partners
What should you have to succeed?
Master’s Degree in Computer Science, Statistics, Applied Math, Engineering, or related field
3+ years’ practical experience with data processing and data analytics
3+ years experience with Python, or other programming languages geared towards mathematical analysis
Background in data mining and statistical analysis
Able to understand various data structures and common methods in data transformation
Excellent pattern recognition and predictive modeling skills
Location
Remote Opportunity
Other job specifics…
Full-time employment
Ability to travel domestically up to 30%, occasional international travel
What will you love about us?
You will be part of a global team and a company culture that is characterized by the free and respected exchange of professional and cultural perspectives. As a rapidly growing organization, you will have opportunities to explore creative ways of delivering continuous value to our clients and charting a career path that reflects the unique skill set and experience you bring to Pricefx. We will give you the option of your own devices by providing a monthly $260-IT allowance (laptop, mobile, and internet). We have built a benefits program to match the strength of our team.
Our office is centrally located in the West Loop of Chicago, and plenty of flexibility on public transportation options.
We match your 401K contribution dollar for dollar up to 4% and vest it starting the first month.
We give you 4 weeks of paid time off (PTO), 14 public holidays each year, and your birthday off.
We have amazing healthcare coverage sponsored by the ADP platform.
We offer 12 weeks of 100% paid maternity leave.
By applying, I confirm that I acknowledge and understand how Pricefx processes my personal data as per information in GDPR for Candidates.
#BI-Remote


Senior Informaticist Provider Data Analytics

Description
The mission of the Physician Performance Insights team is to empower Humana members to make informed healthcare decisions. Our key goal is to ensure transparency and help our members obtain high quality, affordable healthcare while keeping our provider networks efficient and optimal. We achieve this through advanced analytics that enables objective evaluation of physician performance related to our two key metrics: Efficiency of Care (cost) & Effectiveness of Care (quality).
Responsibilities
Humana is seeking a Senior Informaticist on the Physician Performance Insights team that leverages their advanced knowledge of data, statistical analysis, problem solving, business analytics, modeling, optimization, and related tools. Utilizes strategic thinking capabilities
Read more about this job


Data Scientist

Summary: The Data Scientist will work closely with the Business Intelligence, Analytics and Data Engineering & Services teams. This position will lead efforts in providing deep analytical insights from massive complex healthcare datasets and assist in building and maintaining robust data pipelines to garner meaningful insights.Essential Duties & Functions:
Leverage huge sets of health care payer and related data to analyze cost and provider network efficiencies to produce innovative solutions and optimize the delivery of our product offerings.
Apply knowledge of statistics, machine learning and data science technologies to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement
Perform deep-dive analyses using SQL & python data science & big data tools to garner actionable
Working with SQL, Python and Apache Spark to perform iterative analysis and integrate into data ETL/pipelines.
Overseeing data functions such as ingestion of structured/unstructured data, transformation, standardization and QA to build robust and automated data pipelines.
Document and maintain robust processes that move large amounts of complex data between multiple data storage systems including text extracts, RDBMS and parquet formats.
Monitoring, reviewing, and analyzing inbound and outbound data.
Proactively identifying issues and trends through data analysis and manipulation.
Presenting findings in reports and utilizing various visualization techniques and tools like Power BI and Python data visualization tools.
Communicating effectively with cross functional teams.
Creating and maintaining code through GitHub repository for change control.
Supporting off-hours data processing and emergency requests
Experience, Qualifications, Knowledge and Skills:
Knowledge of HealthCare Claims, Payer and related data.
Advanced Python skills including popular data science libraries such as Pandas, Numpy, Matplotlib or similar.
Advanced SQL skills.Experience with big data using Spark(Pyspark, Scala) and knowledge of Spark Internals.
Experience with AWS.
Experience with Rust a big plus.
Bachelor’s degree (Statistics, Math, Computer Science, or related field) and a minimum of 2 to 5 years related experience and/or training; or equivalent combination of education and experience as a data engineer/analyst/scientist.
Experience with version control software (Git preferred), agile development experience, and knowledge of design patterns.
Experience working independently, contributing as a member of the team and result driven.
Strong presentation skills to explain and present advanced statistical methods using non-technical language to key business stakeholders.
Physical Demands: ● Sedentary work - Exerting up to 10 pounds of force occasionally, and/or a negligible amount of force frequently to lift, carry, push, pull or otherwise move objects in daily work use (laptop, monitors, et. al). Sedentary work involves sitting most of the time. Use of keyboards (typing) and exposure to computer screens occurs daily. Pleasant work environment in office locations with occasional noise or dust.● The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. ● While performing the duties of this job, the employee is regularly required to stand; walk; sit; use hands; reach with hands and arms; think; and talk or hear (multi-channel, two way communication during work hours is required). As a leading payments company in healthcare, we guide, price, explain, and pay for care on behalf of insurers and their members. We’re Zelis in our pursuit to align the interests of payers, providers, and consumers to deliver a better financial experience and more affordable, transparent care for all. We partner with more than 700 payers, including the top-5 national health plans, BCBS insurers, regional health plans, TPAs and self-insured employers, over 4 million providers, and 100 million members, enabling the healthcare industry to pay for care, with care. Zelis brings adaptive technology, a deeply ingrained service culture, and a comprehensive navigation through adjudication and payment platform to manage the complete payment process.Zelis provides equal employment opportunities to all employees and applicants for employment and 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.SCAM ALERT: There is an active nationwide employment scam which is now using Zelis to garner personal information or financial scams. This site is secure, and any applications made here are with our legitimate partner. If you’re contacted by a Zelis Recruiter, please ensure whomever is contacting you truly represents Zelis Healthcare. We will never asked for the exchange of any money or credit card details during the recruitment process. Please be aware of any suspicious email activity from people who could be pretending to be recruiters or senior professionals at Zelis.


Staff Data Scientist

The Role:
The Marketing Data Science team is looking to add a Staff Data Scientist who will help shape product decisions and strategy through data-driven insights. The Staff Data Scientist will be working closely with Marketing Managers, Business Units, Product & finance partners to build and grow SoFi Bank, Invest, and Credit Cards into a top choice for consumers to “Get Your Money Right”. Success in this role hinges on your technical aptitude, quantitative abilities, and business acumen: you know how to plow through data with SQL/Python/R/Tableau, surface insights using math/statistics/ML techniques, and measure the business impact using efficiency/conversion/profit metrics.
As a Staff Data Scientist, Marketing at SoFi, you will be subject matter expert on user journeys; consumer profile and behavior; optimizing onboarding experience; and evaluating marketing opportunity; our internal data pipelines; and marketing datasets. You will also contribute to building machine learning (ML) models and solutions that touch on attribution, forecasting, and budget allocation across our marketing channels.
This role will support SIPS (Save, Invest, Protect and Spend) business unit at SoFi focused mainly on SoFi Bank, Invest, and Credit Cards products.
What you’ll do:

Drive highly visible, strategic projects that are imperative to the SIPS business’s short term as well as long term goals.
Translate business goals into actionable tactics and campaigns informed by data that deliver short term results and build foundational platform for long term growth
Analyze marketing spend, customer journey, acquisition funnel and product engagement data to generate business insights, inform marketing strategy, and unlock potential value
Design test plans to achieve business outcomes, and partner across other functional groups like Marketing, Business, Operations, Engineering for implementation
Support partners with ad hoc analysis requests that come up during normal course of  business
Synthesize data into succinct presentations that influence senior management decision making
Work with amazing product marketing and business managers to identify strategic opportunities, measure KPIs to craft compelling stories, make data-driven recommendations, and drive informed actions.
Own comprehensive daily, weekly, monthly reporting of all member engagement KPIs & build the right dashboards to track and communicate performance
You stay focused on what’s best for the company – sometimes that requires being flexible, other times it requires being steadfast.

What you’ll need:

Bachelor’s degree required (Masters preferred) in Computer Science, Math, Physics, Engineering or quantitative field.
8+ years of relevant work experience in growth or marketing capacity, with demonstrated experience developing and analyzing marketing campaigns
Industry experience in Banking, Brokerage, Credit Card and Marketing Analytics highly desired
Intellectual curiosity and aptitude to pick up new technical skills
Ability to initiate and drive projects to completion with minimal guidance
High EQ with ability to influence outcomes and communicate technical content to general audiences
Strong programming skills in SQL, Python and proficiency in Tableau
Experience with using Airflow to build Data Pipelines in Snowflake
Experience with experimentation and hypothesis testing
Knowledge of statistical modeling or machine learning is preferred but not a requirement
Ability to work in a dynamic, cross-functional environment, with strong attention to detail
Strong relationship building and collaborative skills


Latam Data Scientist

ABOUT KHAN ACADEMY
Khan Academy is a nonprofit organization with the mission of providing a free, world-class education for anyone, anywhere. Our platforms include more than 70,000 practice problems, videos and articles that cover a range of preK-12 subjects. Khan Academy’s mastery-based learning system allows students to learn key concepts at a pace that’s right for them before moving on to more challenging content. Our award-winning free app for young children ages two to eight is Khan Academy Kids. In the US, we partner with more than 280 school districts that serve students who are historically under-resourced. Worldwide, more than 150 million registered learners have used Khan Academy in 190 countries and 51 languages. For more information, please see research findings about Khan Academy and our press center.
ABOUT KHAN ACADEMY BRAZIL
Khan Academy Brazil aims to deliver a world class user experience to learners that is locally relevant with content, programs, and resources for teachers, schools, and districts. Our platform is a supplemental educational digital resource that offers interactive activities based on mastery-based learning for K-12 grades covering Math, Portuguese, and Science, all aligned to BNCC. We are serving more than 6 million learners a month across our websites, apps and youtube channels, including both independent learners and teacher directed learners in schools.  Our goal is to scale the impact of our platform by focusing on partnerships with public districts in Brazil.
ABOUT THE ROLE
Khan Academy is looking for an experienced data scientist to join our growing team. This role will partner with our Latam schools team to drive engagement with our product and improve student outcomes. We are looking for curious, passionate individuals who can apply their strong technical skills to mine for insights across our rich datasets, and work collaboratively across the organization to drive critical strategic decisions. This role will report to our Principal Data Scientist.
In this role you will:

Identify and measure success of our district  team’s initiatives through target setting, forecasting, monitoring, and ongoing analysis of core outcome metrics
Perform advanced exploratory analyses on large sets of data to extract insights on teacher and learner behavior and inform decisions on investments and initiatives
Collaborate with Engineering teams to improve tools and datasets and work self-sufficiently with data pipelines (e.g. ETLs) on an as-needed basis
Use your expertise in experimentation (i.e. AB testing, causal inference) to measure the impact of various programs and interventions
Contribute to the development of analytics tools and data applications to enhance data access for the district team and Latam leadership, including the development of Latam dashboards to monitor the annual plan goals and objectives (KPIs and targets)
Collaborate with efficacy researchers to provide curated datasets and/or dashboards for measuring learner outcomes.
Develop and maintain data dashboards to support the implementation in district partnerships and monitor the adoption of communities of practice with weekly or monthly updates of targets attainment
Own and manage the prioritization roadmap for data initiatives and projects to support reach, engagement, and resource allocation throughout Latam

ABOUT YOU
You are someone:

A passion for education and a desire to change the world
Background in applied math, statistics, economics, or a related technical field
5+ years experience in data science or analytics
Strong SQL foundations & ability to manipulate data using Python (preferred) or R. We are SQL and spreadsheets heavy.
Strong data storytelling, visualization and communication abilities; prior experience developing BI tools is a plus
Knowledge of statistical (i.e. multiple regression, hypothesis testing) and machine learning techniques (i.e. clustering, decision tree learning, etc.) for real-world applications
Prior experience with the end-to-end analytics chain is a nice to have (e.g. data modeling & ETL, BI tool development)
Flexibility to periodically visit our office in São Paulo, Brazil, to interact with the Latam team
Residence in the Greater São Paulo (a plus) and flexibility to periodically visit our office in São Paulo, Brazil, to interact with the Latam team

PERKS AND BENEFITS
We may be a non-profit, but we reward our talented team like a for-profit.

Competitive salaries and benefits
Remote-friendly workplace, i.e. work from home and flexible schedules
Premium medical and dental plans with life insurance
Wellness benefits, i.e. personal time off beyond regular vacations
Professional development focus
A kind place to work

LEARN MORE

Sal’s TED talk from 2011
Sal’s TED talk from 2015

A glimpse of our team:  http://www.khanacademy.org/about/the-team

A glimpse of our content created: https://youtu.be/W33tZb9qF6I

HOW TO APPLY

Attach your resume or Linkedin URL in the space provided below.
Please address the below-mentioned task and attach your response in the space provided below.

TASK
SQL: Calculate Retention Metrics
We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or veteran status.


Senior Manager Data Science Science And Machine Learning

About Pinterest:
Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet.
Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our PinFlex landing page to learn more.
We’re looking for a Senior Data Science Manager that will help in changing the way ads have been delivered over the last 20 years, breaking models, assumptions and thinking innovatively about protecting Pinner experience while generating revenue. The team is responsible for supporting all the surfaces in the Pinterest app – Home Feed, Search, Related Pins, Shopping Surfaces, Idea Streams etc. Each of them brings its own complexity and challenges which will provide exposure to a wide variety of data science problems to solve. This person would work with world class data science and ML talent in building the next generation advertising products and become a leader of leaders, developing a best in-class team of technical data scientists.
What will this person do?
Build, inspire and grow a high performance, responsive team of data scientists and analysts that are able to not only keep up with but also pioneer in this space Working with product and engineering partners help identify and answer important “why” questions. Lead the team to structure ambiguous business challenges into actionable plans. Ensure that your team is producing consistently trustworthy and high-quality technical outputs that influence the business. Help improve the measurements, metrics and decision making framework for improvements to our ads quality stack. Communicate complex analytical findings and insights to both technical and non-technical stakeholders in a clear and concise manner. Continuously research and stay up-to-date with the latest developments in data science, causal inference, and advertising technology to drive innovation within the Ads Team. Be a champion for building a highly talented and diverse team with an inclusive culture.
What we’re looking for:
MS or PhD in a quantitative field such as Computer Science, Engineering, Math, Statistics, etc. Data Scientist, ML engineer or SWE in Digital Ads  6+ years of experience as a data scientist, algorithmic engineering, or machine learning 3+ years of experience in managing and mentoring data science, data engineering, and analytics teams in a technology company Experience with related technical areas:  Statistical software (e.g. R, Python, MATLAB) and database languages (e.g. SQL) Data science models (Regression, Decision Trees, K-Means, etc.) Experience with large data sets and analytical tools, e.g. Hive, Spark  Demonstrated skills in selecting the right statistical tools given a data analysis problem. Effective written and verbal communication skills. Experience with hypothesis driven product development.
This position is not eligible for relocation assistance.
#LI-REMOTE
#LI-NM4
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only
$207,500—$311,200 USD
Our Commitment to Diversity:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic under federal, state, or local law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require an accommodation during the job application process, please notify accessibility@pinterest.com for support.


Data Scientist Ecosystem

About Pinterest:
Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet.
Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our PinFlex landing page to learn more.
As a Data Scientist you will shape the future of people-facing and business-facing products we build at Pinterest. Your expertise in quantitative modeling, experimentation and algorithms will be utilized to solve some of the most complex engineering challenges at the company. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Design, Research, Product Analytics, Data Engineering and others. The results of your work will influence and uplevel our product development teams while introducing greater scientific rigor into the real world products serving hundreds of millions of pinners, creators, advertisers and merchants around the world.
What we’re looking for
9+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data Extensive experience solving analytical problems using quantitative approaches including in the fields of Machine Learning, Statistical Modelling, Forecasting, Econometrics or other related fields Experience using machine learning and deep learning frameworks, such as PyTorch, TensorFlow or scikit-learn A scientifically rigorous approach to analysis and data, and a well-tuned sense of skepticism, attention to detail and commitment to high-quality, results-oriented output Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL (or other database languages) and a scripting language (Python or R) Excellent communication skills and ability to explain learnings to both technical and non-technical partners A team player who’s able to partner with cross-functional leadership to quickly turn insights into actions
This position is not eligible for relocation assistance.
#LI-NM4
#LI-REMOTE
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only
$207,500—$311,200 USD
Our Commitment to Diversity:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic under federal, state, or local law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require an accommodation during the job application process, please notify accessibility@pinterest.com for support.


Data Scientist

About Pinterest:
Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet.
Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our PinFlex landing page to learn more.
As a Data Scientist you will shape the future of people-facing and business-facing products we build at Pinterest. Your expertise in quantitative modeling, experimentation and algorithms will be utilized to solve some of the most complex engineering challenges at the company. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Design, Research, Product Analytics, Data Engineering and others. The results of your work will influence and uplevel our product development teams while introducing greater scientific rigor into the real world products serving hundreds of millions of pinners, creators, advertisers and merchants around the world.
What you’ll do
Develop best practices for instrumentation and experimentation and communicate those to product engineering teams to help us fulfill our mission – to bring everyone the inspiration to create a life they love Bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of our Pinners Build and prototype analysis pipelines iteratively to provide insights at scale while developing comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development Work cross-functionally to build and communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest
What we’re looking for
4+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data Extensive experience solving analytical problems using quantitative approaches including in the fields of Machine Learning, Statistical Modeling, Forecasting, Econometrics or other related fields Experience using machine learning and deep learning frameworks, such as PyTorch, TensorFlow or scikit-learn A scientifically rigorous approach to analysis and data, and a well-tuned sense of skepticism, attention to detail and commitment to high-quality, results-oriented output Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL (or other database languages) and a scripting language (Python or R) Excellent communication skills and ability to explain learnings to both technical and non-technical partners A team player who’s able to partner with cross-functional leadership to quickly turn insights into actions
This position is not eligible for relocation assistance.
#LI-REMOTE
#LI-NM4
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only
$145,700—$258,700 USD
Our Commitment to Diversity:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic under federal, state, or local law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require an accommodation during the job application process, please notify accessibility@pinterest.com for support.


Senior Data Scientist Electricity Grids

Accepting applications on a rolling basis.
About WattTime
WattTime is a rare non-profit tech startup. We’re laser focused on helping people, companies, and policymakers that are working to drive down emissions multiply their good impact - usually at no cost. We do this through several specific creative uses of extremely detailed emissions datasets. Founded by UC Berkeley researchers, we’re best known for inventing Automated Emissions Reduction (AER), a data-driven technique that over 100 million IoT devices now use to reduce fossil fuel use by automatically running on surplus clean/renewable energy. We also develop and share other techniques, like our Emissionality technology that more and more wind and solar farms are using to multiply their environmental impact. Today, WattTime is also the secretariat of the Climate TRACE coalition, a global team-up of nonprofits, tech companies, and universities working to use machine learning and remote sensing to provide open, transparent, independent monitoring of nearly every major individual source of GHG emissions worldwide. For more information visit www.WattTime.org.
About the Role
WattTime’s Automated Emissions Reduction (AER) team is expanding our product and looking for a scientist to raise the bar on our models. Our small team has made great strides and identified where our models need to be validated and refined. We are looking for someone grounded in mathematical modeling who can lead cutting edge research in electricity grids. You will work with other data scientists and engineers to turn research into production models and data pipelines. Ideally you will bring an in-depth knowledge of power systems, electricity transmission and distribution, or grid dispatch models.
Responsibilities
Lead research on electricity carbon emissions models and conduct experiments for validating model performance
Benchmark and categorize marginal emissions models for a variety of use cases ranging from short run AER to long run expansion of renewable energy generation
Document, publish, and present results both internally and to external stakeholders, informing very high impact decisions for corporate carbon policies
Create plots and data visualizations to discern salient points buried in large time series datasets
Exemplify an iterative modeling and communication approach that encourages collaboration amongst a team of data scientists and engineers
Help design new data pipelines to support our expansion, e.g. a weather data store
Lead by example with good patterns that level up our data and software environment
Qualifications
The person hired for this position should be committed to WattTime’s mission. All candidates should have proven experience that includes:
5+ years of hands on experience in statistics, data science, or mathematical modeling
Proven ability to lead a research project, give presentations, and communicate to multiple stakeholders
2+ years experience analyzing large time series datasets and employing models that handle autocorrelation and seasonality
2+ years writing clean code that is version controlled (Python and Git preferred)
Skilled with Python or R libraries for statistical modeling such as numpy, scikit-learn, statsmodels, lm, or glm
Experienced in prioritizing model explainability; and able to select models that can be understood and maintained by other scientists and engineers
Flexible and willing to contribute to WattTime’s API, ML models, and product direction
Collaborative, communicative, and respectful
Ability to work effectively from a remote environment across regular U.S. work hours through tools like Slack, Zoom, GSuite, and others
Willingness to travel to team collaborative sessions a few times a year
Bonus points for publications in power systems, grid dispatch models, statistics, operations research, or causal inference
How We Measure Success at WattTime
Doing the work: you know your priorities and embrace flexibility
Productivity: you complete work with urgency and deliver it on time through hard work and grit
Quality: you leverage your subject matter knowledge to implement complex projects and practice relevant new skills
Judgment: you make impact-focused decisions and adjustments as you work on projects and break apart problems
Collaboration: you help others meet their goals, cultivate trust, lead with respect, and practice self awareness
Logistics
This is a full time, remote position - work from anywhere in the U.S.
Must be authorized to work in the U.S.
For those authorized and located in the U.S., WattTime is open to U.S. visa sponsorship. As an H-1B cap-exempt, non-profit research organization, WattTime can sponsor employees for H-1B status throughout the year.
Salary: $180,000 - $195,000
Hiring Process
Resume screening
Initial phone screening
Technical interview #1
Skills assessment to see your work in action
Technical interview #2
Half-day of interviews with the team at large
Reference checks and offer
Read more about what it's like on this LinkedIn post from one of our fantastic engineers.
Why Work with WattTime
Competitive salary
Full medical, dental, vision, life insurance packages for employees and 80% coverage for dependents
Paid parental leave
Flexible time off
Professional development support
Home office support and employee choice technology
403b with up to 5% matching contribution
Opportunity to work for a tech nonprofit focused on driving real impact
What we’re like: we’re obsessed with making practical, results-driven change. We believe nothing has more potential for fast, world-changing impact than software. We embrace change. We are lean and rapid prototypers. We never confuse growth with impact. We are all personally, fiercely committed to our mission. We are quietly radical in unexpected ways. We don’t believe in competition–other people doing good work are allies. Our deep bench of expert volunteers helps us routinely punch above our weight class. We trust in data and everyone’s voice being heard. We know diversity is central to success. We consider respect non-negotiable; there are no jerks here.
How to Apply
You can apply for this position on our website at www.watttime.org. From the “About” tab, select the “Jobs” page, then select the job for which you want to apply.
Please attach your resume AND in lieu of a cover letter, answer the prompt in the application that addresses the following:
Please provide links to, or tell us about, your experience leading a research project in a relevant area such as electricity grids, statistics, operations research, or time series analysis.
Equal Opportunity Policy
WattTime is an Equal Opportunity Employer (EOE) and does not discriminate on the basis of race, color, gender, sex, sexual orientation, religion, creed, pregnancy, marital status, family care status, age, appearance, national origin or ancestry, physical or mental ability, medical condition, military or veteran status, political affiliation, genetic information or characteristics or any other consideration protected by federal, state, or local laws. We encourage all individuals to apply and are committed to a diverse workplace where every person is treated with respect and dignity.