Data Scientist

The Security Analytics Engineering group is looking to hire a Data Scientist to help lead the development of cutting-edge machine learning models to better protect our users from malicious actors and improve our customer product experience. We are looking for a hands-on engineering leader with deep data science and software engineering expertise who can help architect and own the platform for deploying and tuning the machine learning models used to protect user authentication and security.
The teams focuses on using analytics, machine learning, and threat research on petabyte-scale data to deliver security value to millions of business users across thousands of businesses. The product portfolio is a part of the rapidly growing Carbon Black Cloud platform that delivers next-generation endpoint protection capabilities from the cloud. Now with the full resources of VMware, you have the opportunity to make an impact and build upon Carbon Black’s success.
Responsibilities include:
Lead the efforts to define the vision of how Data Science and Machine Learning will be used at Carbon black threat analytics and Alerts management .Use analytical and statistical methods, programming, data modeling, simulation, and advanced mathematics to analyze large amounts of data, recognizing patterns, identifying opportunities, posing security questions, and making valuable discoveriesDevelop algorithms to detect anomalies, assess risks/threat, classify and prioritize alerts, and group related entities for investigation enhancementsDocument projects including business objectives, data gathering and processes, leading approaches, final algorithm, and detailed set of results and analytical metricsWork with Data Engineers to design and maintain data processing pipelines to support new decision and scoring models.
What you bring:
Degree MS/PhD in Machine Learning, Computer Science, Electrical Engineering, Statistics, Applied Math, or other quantitative fields3-5 plus years experience developing data models as a Data Scientist and experience building products backed up ML /AI.Working experience in analytics, data mining, and/or predictive modeling, and data interpretation.Proven track record in modifying and applying advanced algorithms to address security problems in core engineering work.Experience implementing machine learning models, data pipelines and testing frameworks for production useHands on skills on industry-standard machine-learning stack (Jupyter, pandas, numpy, sklearn, Keras, Spark).Working knowledge of AWS Sagemaker, Lambda, and API Gateway including production deployment
Bonus:
Experience in big data technologies. (Spark, Flink, MapReduce, HDFS, Hive, Presto, Avro, Parquet, Airflow, etc)Experience in the Security domain is a plus
This job may require the candidate to travel and/or work from a facility that requires full vaccination prior to entry.

Category : Engineering and TechnologySubcategory: Software EngineeringExperience: Manager and ProfessionalFull Time/ Part Time: Full TimePosted Date: 2022-12-08
VMware Company Overview: At VMware, we believe that software has the power to unlock new opportunities for people and our planet. We look beyond the barriers of compromise to engineer new ways to make technologies work together seamlessly. Our cloud, mobility, and security software form a flexible, consistent digital foundation for securely delivering the apps, services and experiences that are transforming business innovation around the globe.  At the core of what we do are our people who deeply value execution, passion, integrity, customers, and community. Shape what’s possible today at http://careers.vmware.com.
Equal Employment Opportunity Statement: VMware is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind: VMware is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at VMware are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. VMware will not tolerate discrimination or harassment based on any of these characteristics. VMware encourages applicants of all ages. Vmware will provide reasonable accommodation to employees who have protected disabilities consistent with local law.


Data Scientist

Data Scientist (Remote)
The Senior Data Scientist oversees the conceptual vision of data science initiatives, covering the range of data science applications at U-Haul, and guides the team in the execution of that vision.
Responsibilities
Manage interactions, expectations, and connections with existing business units Translates importance and outcomes of data science initiatives to higher levels   Establish realistic team objectives, KPIs, and timelines for data science projectsPrioritize work based on expected value to make continued progress on initiatives Collaborate with and provide mentorship to other data scientists and data science analysts   Design and implement data products (pipelines, visualizations, AI/ML models) that add value to U-Haul's business Interact with developers, business teams, and other stakeholders to determine requirements Conduct effective exploratory analysis (EDA)Identify the best model for a given problem Work alongside data engineering to source and transform data Build ETL pipelines independently Build, tune, and deploy machine learning/AI models Communicate results to business leaders and technical audiences   Maintain team documentation, organization, and resources to ensure stability and scalability of the team
U-Haul Offers:
Full Medical coverage Prescription plans Dental & Vision Plans Registered Dietitian Program?
Weight Watchers? Onsite medical clinic for you and your family Career stability Opportunities for advancement Valuable on-the-job training
Tuition reimbursement program Free online courses for personal and professional development at U-Haul University® Business and travel insurance You Matter Employee Assistance Program Paid holidays, vacation, and sick days?
Employee Stock Ownership Plan (ESOP) 401(k) Savings Plan Life insurance Critical Illness/Group Accident 24-hour physician available for kids
Subsidized gym/ membership MetLaw Legal program MetLife auto and home insurance Mindset App Program Discounts on cell phone plans, hotels, and more
LifeLock identity Theft Savvy consumer wellness programs- from health care tips to financial wellness Dave Ramsey’s SmartDollar Program U-Haul federal credit union Wellness Programs
Requirements
Master’s degree or Ph.D. from an accredited college/university in an applicable field, with a minimum of 3 years of relevant experience History of increasing responsibility and/or a leadership role in data science Exposure to and familiarity with a variety of statistical and machine learning techniques including but not limited to Regression and Classification, Graph Data Science/Network Analysis, Computer Vision, Time Series Analysis and Forecasting, Geospatial Data/GIS, Recommender Engines Proven track record (academic or business) in one or more data science fields above preferred Demonstrated experience processing and analyzing structured and unstructured data Strong coding skills in SQL and Python Experience with graph databases (Neo4j) is highly desired Experience with model deployment/MLOps is helpful Experience in Databricks, AzureML, Kubernetes are pluses
Skills
Good communicator, both written and oralComfortable with full stack data science: taking a project from idea to execution Deep understanding of statistics and experimental design Must be effective at coding in SQL and Python Effective communication and presentation skills, written and oral Familiarity with DevOps/Agile Scrum a plus
U-Haul is an equal opportunity employer. All applications for employment will be considered without regard to race, color, religion, sex, national origin, physical or mental disability, veteran status, or any other basis protected by applicable federal, provincial, state, or local law. Individual accommodations are available on requests for applicants taking part in all aspects of the selection process. Information obtained during this process will only be shared on a need to know basis.


Senior Data Scientist

Job TitleSenior Data ScientistJob DescriptionII. Essential Job FunctionsAccountabilities, Actions and Expected Measurable ResultsLeverage your technical expertise to constantly raise the bar and ensure the team delivers extraordinary results – focusing on creating value, continuous improvement, and collaboration.  Strive to thoroughly understand customer, business and stakeholder needs, and provide effective data driven solutions to meet those needs.  Develop, communicate, and maintain architectural, design, and lineage documentation.Enhancing, upgrading and maintaining previously developed Data Science products.Brainstorming and developing new data driven solutions to evaluate, consult and optimize various business proposals. -Participating in Retros, demos, planning, daily stand up.Learning and continuous improvement (keep up with state-of-the-art technology, conferences.III. Minimum Qualifications and Job Requirements | All must be met to be considered.Education: B.S. or Masters (Preferred) in Engineering, Computer Science, Statistics or Mathematics or other quantitative fieldsExperience:4+ Years of Data Science experience and data scripting languages (e.g. Python, SQL, R etc), deep understanding of all practical details of the entire pipeline of Data Science: data query from data warehouse and datalakes, dataset creation, exploration of data, data cleansing, statistical analysis, feature engineering, model training and evaluation, model deployment and monitoring.Specific Knowledge, Skills and Abilities:
Solid understanding of popular machine learning algorithms including supervised, un-supervised, and semi-supervised ones. What is the difference between algorithms? What algorithm would you choose for a given problem and why? What are the pros and cons of these algorithms? What is cross validation, hold-out sample, RMSE, overfitting, bias, …?
Proficient in one or more core data science programming languages (Python) and the ability to become functional in emergent languages and APIs as needed (Java, Scala, …).
Practical experience of building a full cycle machine learning engine from cleansing data to training and hyper parameter optimization to methods for evaluating the accuracy to identifying the ways to improve the accuracy of the model.
Experience in data applications working with large scale distributed systems (e.g. EMR, Spark, Hadoop)
Exposed to and experienced with state-of-the-art machine learning toolkits such as Spark ML, TensorFlow, Scikit-learn, XGBoost, NLP … preferably in Big Data frameworks (e.g. Apache Spark).
Familiarity with AWS ecosystem, Sagemaker, Athena, EMR, QuickSight, etc
A self-learner with capability to switch from the independent contributor and leader of the project to a collaborative contributor on the team (and vice versa) depending on the demand of the project and availability of the resources.
Collaborate with stakeholders, partners and clients to ensure that all parties are aligned and supportive of the project's priorities, requirements, timeline and objectives.
Familiarity with the MapReduce paradigm and Apache Spark project.
Proficient with SQL as a means of gathering data from relational databases.
Practiced data manipulation and mining of structured and unstructured data.
Experience in visualizations for business stakeholders using a variety of visualization tools from libraries in Python and MS Excel,
Familiarity with Data Engineering tools such as ETL, AWS Glue, Datalake, Airflow
Superior written and verbal communication with both technical and non-technical audiences
Strong analytical skills and a results-driven mindset
It is the policy of Meredith Operations Corporation ("Dotdash Meredith", "the Company") to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, the Company will provide reasonable accommodations for qualified individuals with disabilities. Accommodation requests can be made by emailing ddm.hr@dotdashmdp.com.The Company requires employees entering its workplaces, performing work offsite, or attending a company sponsored event to verify and provide proof of full COVID-19 vaccination. The Company will consider requests for reasonable accommodations as required by applicable law.The Company participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here: https://www.e-verify.gov/employeesPay RangeSalary: $79,500 - $135,900The pay range above represents the anticipated low and high end of the pay range for this position and may change in the future. Actual pay may vary and may be above or below the range based on various factors including but not limited to work location, experience, and performance. The range listed is just one component of Dotdash Meredith’s total compensation package for employees. Other compensation may include annual bonuses, and short- and long-term incentives. In addition, Dotdash Meredith provides to employees (and their eligible family members) a variety of benefits, including medical, dental, vision, prescription drug coverage, unlimited paid time off (PTO), adoption or surrogate assistance, donation matching, tuition reimbursement, basic life insurance, basic accidental death & dismemberment, supplemental life insurance, supplemental accident insurance, commuter benefits, short term and long term disability, health savings and flexible spending accounts, family care benefits, a generous 401K savings plan with a company match program, 10-12 paid holidays annually, and generous paid parental leave (birthing and non-birthing parents), all of which may vary depending on the specific nature of your employment with Dotdash Meredith and your work location. We also offer voluntary benefits such as pet insurance, accident, critical and hospital indemnity health insurance coverage, life and disability insurance.#NMG#


Manager Senior Manager Data Science

As Manager/Senior Manager, Data Science, you will lead the execution of building and deploying our predictive models. This is an exciting opportunity to get on the ground floor of a team at a growing company, and to guide the direction of how we build our data science capabilities. The ideal candidate has past technical experience building, deploying and monitoring credit risk predictive models, and can provide a vision of the tools and processes we should use in every stage of the modeling process. You will be joining our Analytics department, and report to the Director of Analytics and Data Science.
We have a modern analytics stack (Snowflake+Fivetran+DBT) that our Analytics Engineering and Business Intelligence teams use to centralize, clean, transform and model all of our data. We have access to many third-party datasets, in addition to our internal proprietary data. You will collaborate closely with the Analytics team to build datasets that will be used by data scientists to build models. You will also collaborate closely with our Technology team to deploy models into our applications. Our company is putting a lot of resources into automating our business, and you will play a key role in helping drive this initiative forward.
In this role you will:

Identify, evaluate, and implement data science tools and processes
Hire and manage data scientists
Collaborate with data scientists, analytics engineering and technology to build and deploy predictive models
Monitor and tune existing models
Collaborate with leadership to identify predictive model use cases

Requirements:
(Even if you don’t check every box, but see yourself contributing, please apply.)

7+ years of technical data science experience
Experience creating credit risk predictive models
Experience working with lending related datasets including: credit bureau, public records and transaction level bank statement data
Proficient in SQL
Proficient in a scripting language, such as Python or R
Strong project management and communication skills

Preferred:

Experience as a people manager
Experience with Snowflake, Databricks, Tableau and DataRobot


Data Scientist Lead Trust And Safety

OpenSea is the first and largest marketplace for non-fungible tokens, or NFTs. Applications for NFTs include collectibles, gaming items, domain names, digital art, and many other items backed by a blockchain. OpenSea is an open, inclusive web3 platform, where individuals can come to explore NFTs and connect with each other to purchase and sell NFTs. At OpenSea, we're excited about building a platform that supports a brand new economy based on true digital ownership and are proud to be recognized as  Y Combinator's #4 ranked top private company.

When hiring candidates, we look for signals that a candidate will thrive in our culture, where we default to trust, embrace feedback, grow rapidly, and love our work. We also know how critical it is to celebrate and support our differences. Employing a team rich in diverse thoughts, experiences and opinions enables our employees, our product and our community to flourish. We are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. To help facilitate this, we support remote, hybrid or onsite work at either New York City, San Francisco or the Silicon Valley for the majority of our opportunities.

We are looking for an experienced data expert - Data Scientist, Data Analyst - to join our Trust and Safety engineering organization. If you are enthusiastic about earning users’ trust, and have experience in the adversarial data analysis domain, we want to hear from you!
In this role, you will build the foundational data solutions for OpenSea’s Trust and Safety challenges. You will apply your data skills to protect the NFT ecosystem.  You will collaborate closely with our Engineering, Product, Policy, Operations.

Responsibilities

Conduct thorough data insights for the company's Trust and Safety investment.
Create, standardize, and improve metrics reporting, and launch experimentation
Evaluate and improve detection models, optimize human review process, track end-to-end T&S system data quality
Intake abuse intelligence, identify new abuse patterns, prototype new methodologies.
Collaborate with XFN stakeholders

Desired Experience

Bachelor's degree in Computer Science or related technical field.
4+ years of experience in Data Scientist, Analyst, Machine Learning or equivalent roles.
Experience in adversarial domains like abuse/fraud/spam prevention, anomaly detection, finance risk management, trust and safety.
Proven record of generating insight from in-depth data analysis
Exposure to ML model development and data pipeline framework
Growth-minded, data and impact driven.
Thrive in a collaborative XFN environment.
If you don't think you meet all of the criteria above but still are interested in the job, please apply. Nobody checks every box, and we're looking for someone excited to join the team.

Nice-to-Have Skills

Team leadership experience(Big plus)
Web3 ecosystem experience

The base salary for this full-time position, which spans across multiple internal levels depending on qualifications, ranges between 145,000 - $255,000 plus benefits & equity.

#LI-Remote


Director Data Science Operations

Passionate about precision medicine and advancing the healthcare industry?
Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time. Our team partners with scientists at biotechs and pharma companies who are using our real-world clinical data to understand treatment patterns and study outcomes.
We are seeking a Director, Data Science Operations to join our AI and Data Science (AI/DS) team. As the Director of Data Science Operations, you will lead data initiatives for internal stakeholders in AI/DS. This expert will set up processes and infrastructure including using machine learning to monitor the quality of EMR and integrated third-party data such as claims data which are utilized by AI/DS. This individual will serve as the voice of AI/DS on cross-functional teams serving to improve data quality. In addition, this role will have oversight of a team responsible for provisioning patient cohorts of interest for retrospective studies. Strong candidates will have prior experience working in the healthcare industry, or in a similar capacity as a consultant or domain expert.
Responsibilities:

Lead initiatives around benchmarking and improving data quality that impact AI/DS
Serve as VOC on cross-functional teams and develop strong relationships with Alliance Management, RWD Engineering and peers in AI/DS
Lead standardization of cohort provisioning (i.e., patient selection) for retrospective studies using Tempus database
Develop and mentor a team of direct reports

Suggested Qualifications:

MS/PhD degree in a quantitative discipline (e.g. statistical genetics, cancer genetics, machine learning, bioinformatics, statistics, computational biology, biomedical informatics, or similar)
5+ years of supervisory experience
5+ years of related experience. Experience with genomic (e.g., DNA-seq, RNA-seq) or clinical (survival data, trials, real world evidence, claims) data, and familiarity with methods for time to event analysis (Kaplan-Meier, Cox regression) desirable
Strong programming skills and experience with the python clinical+molecular data science stack: Pandas, NumPy, SciPy, Scikit-learn, lifelines, and Jupyter. Experience with R is desirable.
Strong database and SQL skills (BigQuery, dbt)
Experience with engineering best practices for research computing (docker, git, code review, workflow managers, linux, cloud computing)
Demonstrated experience in building pragmatic solutions and long-term scalable designs
Thrive in a fast-paced environment and able to shift priorities seamlessly
Strong attention to detail, specifically in the realm of clinical data models, data quality, consistency, etc.
Excellent communication skills with demonstrated ability to influence stakeholders and collaborators from a broad range of backgrounds (medical/scientific/engineering, etc.)
Demonstrated ability to successfully navigate ambiguity and complexity
Team player mindset and ability to work in an interdisciplinary team
Goal orientation, self motivation, and drive to make a positive impact in healthcare

#LI-GL1
#LI-Hybrid
#LI-Remote


Real World Data Rwd Scientist

Passionate about precision medicine and advancing the healthcare industry?
Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.
With the advent of genomic sequencing, digital imaging, and techniques for large-scale clinical data processing, we have powerful new weapons in the data-driven fight against cancer. We’re on a mission to connect an entire ecosystem to redefine how genomic and clinical data is used for evidence-based medicine.
On the Real World Data Analytics (RWDA) team at Tempus, we are data-savvy scientists helping Key Opinion Leaders in academia and the research community interrogate the real-world dataset for novel insights. We work directly with the Tempus Medical Sciences Team and oncology research leaders to understand their goals and analyze Tempus data to answer their scientific questions.
We are seeking a highly motivated and capable Data Scientist with extensive experience working with clinical research pipelines applying biostatistics and epidemiology knowledge to observational health data. Top candidates will have knowledge of clinical and molecular oncology and a demonstrated history of consulting in clinical research.
What you’ll do
As part of the external data science team at Tempus, you’ll be on the front lines of our collaborations with external partners, helping them apply cutting-edge data science techniques to unique cancer datasets. Your work will be part of the foundation of the next layer of research questions: you will be responsible for performing rigorous, creative analytical studies on real-world clinical and molecular data, and for communicating results and scientific findings on a regular basis, using appropriate communication and visualization tools commonly used in clinical research.
Requirements:

Advanced degree (Masters or PhD) in biostatistics, epidemiology, or a related field or 3+ years experience working with genomic and clinical data in cancer
Experience working with statistical modeling methods
Proficiency in R programming
Experience working with observational clinical data

Strong project management skills

Demonstrated ability to communicate technical concepts to non-technical stakeholders
Collaborative mindset, an eagerness to learn and a high integrity work ethic

Nice-to-have:

SQL
Computational biology techniques and tooling (i.e. Bioconductor)
Knowledge of next-generation sequencing technologies

#LI-GL1
#LI-Hybrid
#LI-Remote
#LI-Onsite


Staff Machine Learning Scientist Cardio

Passionate about precision medicine and advancing the healthcare industry?
Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.
What You Will Do:

Analyze and integrate large diverse clinical, molecular and imaging datasets to extract insights, and drive research opportunities.
Design and prototype novel analysis tools and algorithms for predicting patient outcome and treatment response.
Collaborate with product, science, engineering, and business development teams to build the most advanced data platform in precision medicine.
Interrogate analytical results for robustness, validity, and out of sample stability.
Document, summarize, and present your findings to a group of peers and stakeholders.
Provide technical leadership & expertise across multiple modeling projects.

Required Qualifications:

PhD degree in a quantitative discipline (e.g. computer science, biomedical informatics, machine learning, statistics, computational biology, applied mathematics, physics, or similar).
3+ years of relevant industry or postdoctoral experience.
Outstanding analytical and problem solving skills, with a particular focus on understanding the intricacies of multi-modal medical data sets.
Experience working with clinical, electrocardiography, genomic, or imaging data.
Expert-level experience with supervised, self-supervised and unsupervised machine learning algorithms, such as: regression, generative modeling, deep neural networks, gradient boosting, non-linear low dimensional embeddings and clustering.
Proficient in Python and SQL.
Experience with machine learning frameworks such as TensorFlow or PyTorch.
Strong programming skills.
Thrive in a fast-paced environment and willing to shift priorities seamlessly.
Experience with communicating insights and presenting concepts to diverse audiences.
Team player mindset and ability to work in an interdisciplinary team.
Goal orientation, self motivation, and drive to make a positive impact in healthcare.

 Preferred Qualifications:

Strong peer-reviewed publication record
Familiarity with cloud computing services
Experience building machine learning based models towards cardiovascular outcomes
Experience working with structured and unstructured Electronic Health Records
Experience with signal processing and modeling ECGs
Familiarity with natural language processing
Experience in agile environments and comfort with quick iterations.

#LI-SH1
#LI-Hybrid
#LI-Remote
#LI-Onsite


Data Scientist

Job Title: Data Scientist
Location: Remote - US Only
About InMarket
Since 2010 InMarket has been a leader in 360-degree consumer intelligence and real-time marketing for thousands of major brands. Through InMarket's data-driven marketing platform, brands can build targeted audiences, activate real-time, and measure success in driving sales.
InMarket, which raised no venture capital funding to date, holds more than 25 patents across location, attribution and digital marketing, and its GeoLink self-service marketing platform was awarded Best Location Marketing Platform at the 2021 MarTech Breakthrough Awards and best Location Platform at the 2020 Digiday Technology Awards. InMarket ranked 280 on the 2021 Deloitte Technology Fast 500 list and its nationwide team is united across more than 30 states.
About the Role
Data science is a core driver of InMarket’s product design and innovation. As a data science team member, you will have the opportunity to leverage cutting-edge machine learning on petabytes of data in ways that make a large and lasting impact on the company. We take on greenfield projects and launch entirely new products giving you the opportunity to take large amounts of ownership and shape our technology stack.

Your role is to conceptualize, develop and deploy the core machine learning solutions that power our industry-leading digital advertising and measurement products. These solutions will be intelligent, adaptive, operate at scale and make decisions on how to act within milliseconds. You will collaborate closely with data analysts, account managers, product teams and engineering to understand our business and rapidly iterate on solutions that maximize ROI.

  Your daily Impact as Data Scientist

Work with senior team members and product stakeholders to develop prototypes and take early-stage ideas through to production
Take ownership of core machine learning products to expand our capabilities and push our performance boundaries
Explore our data and systems, prototype ideas, run experiments to validate them and propose new products or advancements
Collaborate closely with our engineering and product teams to expand our machine learning platform

Your Experience & Expertise

Bachelors in Statistics, Computer Science, Economics, Operations Research, or similar quantitative field (graduate degree preferred)
Solid understanding of modern data science and machine learning theory and methods
Professional or academic experience using statistical modeling and machine learning to solve complex, data-driven problems
Programming proficiency (preferably Python, its data science stack, and SQL) and desire to write production code
Excellent communication skills and the ability to present methodologies and findings to audiences with varying technical backgrounds

Nice to Haves

Experience working in modern cloud infrastructure environments like AWS and GCP is a big plus
Familiarity with the digital media / advertising industry is a big plus.

Compensation & Benefits Summary

Competitive salary, stock options, flexible vacation
Medical, dental and Flexible Spending Account (FSA)
Company Matched 401(k)
Unlimited PTO (Within reason)
Talented co-workers and management
Agile Development Program (For continued learning/professional development)
Paid Paternity & Maternity Leave

For candidates in California, Colorado, and New York City, the Targeted Base Salary Range for this role is $185,000 to $289,000.
Actual salaries will vary depending on factors including but not limited to work experience, specialized skills and training, performance in role, business needs, and job requirements. Base salary is subject to change and may be modified in the future. Base salary is just one component of InMarket’s total rewards package that also may include bonus, equity, and benefits.  Ask your recruiter for more information!
InMarket is an Equal Opportunity Employer (EOE). Qualified applicants are considered for employment without regard to age, race, color, religion, sex, national origin, sexual orientation, disability, or veteran status.


Staff Data Scientist Marketing

A bit about us:

We’re on a mission to change healthcare — how it’s paid for, delivered, experienced. We want to put people center stage, not process or profit. We are guided by a deep belief that every person on Medicare should be treated like we would treat a member of our own family: with loving care and a profound commitment to their health and well-being.

Why Devoted:
Make a difference... a big difference. You will have the opportunity, in a unique and dynamic culture, to be a part of something incredibly meaningful. We’re a disruptive startup with an inspiring mission. Learn and grow alongside our world-class team of healthcare, technology, and data leaders, dedicated to building a health plan and clinical services that care for everyone like they were our own mothers or fathers. Our team and board members have decades of experience in health care entrepreneurship, data, technology, services, and policy. With their support, we look forward to building a health plan and clinical services that will give seniors easy access to the high-quality care they deserve.

A bit about this role:

The Staff Data Scientist, Marketing will serve as a crucial partner to our Marketing teams, using data to answer important questions about how to grow the business; building robust data pipelines that underpin our products and operations; and fostering a data-driven culture by using their technical expertise to identify opportunities to improve key outcomes and operational efficiency.  This individual will report into our Data Science team, and will work alongside Product Managers, Software Engineers, and Business Leads to solve key challenges for the company.

In this role, you will power the insights that enable the marketing team to intelligently engage with our prospects, and to ensure we’re living up to our mission of caring for them like family. You will become an expert in all things related to Marketing, driving key initiatives such as how to optimize our multi-million dollar advertising budget. This is a high profile role that is critical to Devoted Health’s success and will involve exciting data initiatives such as predictive modeling and experimental design.
Healthcare experience or previous experience driving Data Science initiatives for a Marketing team is a PLUS.

Responsibilities will include:

Working closely with key business stakeholders to meet the analytical needs of the business, and providing insight in a rapid, iterative, and collaborative process
Developing thoughtful reports and dashboards that help operations teams improve their business decision-making
Identifying patterns in the analyses you conduct, and using those patterns to improve the speed and accuracy of our processes
Communicating results to an audience of mixed technical backgrounds

Required skills and experience:

Ability to work in a fast-paced startup environment
4+ years of individual technical contributor experience
2+ years of working on Data Science initiatives for a Marketing or Growth team
Experience collaborating effectively with stakeholders
Advanced SQL skills
Experience with Python or R
Equally comfortable building dashboards and reports for KPIs, and doing deep-dive statistical analysis; such as predictive modeling and experimental design to influence the business

#LI-BC1
#LI-Remote

If you love running towards complex challenges and transforming them into solutions, if you want to make a potentially huge impact on many lives, and if you are looking for a disruptive startup with an inspiring and talented team, Devoted Health may be the place for you!  If you lack a specific credential for this position but believe that your strengths and life experiences will propel our mission, we would love to hear from you.

Devoted is an equal opportunity employer.  We are committed to a safe and supportive work environment in which all employees have the opportunity to participate and contribute to the success of the business. We value diversity and collaboration. Individuals are respected for their skills, experience, and unique perspectives. This commitment is embodied in Devoted’s Code of Conduct, our company values and the way we do business.

As an Equal Opportunity Employer, the Company does not discriminate on the basis of race, color, religion, sex, pregnancy status, marital status, national origin, disability, age, sexual orientation, veteran status, genetic information, gender identity, gender expression, or any other factor prohibited by law. Our management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities and general treatment during employment.

COVID-19 Vaccination Requirement: Where permitted by applicable law, candidates must have received or be willing to receive the COVID-19 vaccine by date of hire to be considered. The Company will provide reasonable accommodations to qualified employees with disabilities or for a sincerely held religious belief, practice, or observance.


Principal Data Scientist

Veeva is a mission-driven organization that aspires to help our customers in Life Sciences and Regulated industries bring their products to market, faster. We are shaped by our values: Do the Right Thing, Customer Success, Employee Success, and Speed. Our teams develop transformative cloud software, services, consulting, and data to make our customers more efficient and effective in everything they do. Veeva is a work anywhere company. You can work at home, at a customer site, or in an office on any given day. As a Public Benefit Corporation, you will also work for a company focused on 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 1200 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.

We are hiring from both Germany and Netherlands. Alongside offices in Berlin and Frankfurt am Main, you can work remotely anywhere in those countries. However, you must live in those countries and be legally authorized to work there without requiring Veeva’s support for a visa or relocation. If you do not meet this condition but believe that you are an exceptional candidate, please clarify it in a separate document alongside your CV.

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

#RemoteGermany

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.


Data Science Lead

About Kraken

As one of the largest and most trusted digital asset platforms globally, we are empowering people to experience the life-changing potential of crypto. Trusted by over 8 million consumer and pro traders, institutions, and authorities worldwide - our unique combination of products, services, and global expertise is helping tip the scales towards mass crypto adoption. But we’re only just getting started. We want to be pioneers in crypto and add value to the everyday lives of billions. Now is not the time to sit on the sidelines. Join us to bring crypto to the world.

About the Role

We are looking for a Data Science Lead who is innovative, highly-motivated, and proactive.

For this role, you will have the opportunity to lead a team that builds cutting-edge trading products and guides sound data-driven decision making in the cryptocurrency industry. You will be responsible for overseeing the transformation of data and generation of actionable insights on customer behavior as well as measuring the performance of Kraken’s products. You also have a knack for understanding tech products and enhancing them through the power of ML.

In your day to day, you can easily go from coding, to coaching, to sharing the results of your team’s efforts with stakeholders at all company levels. You will collaborate and lead projects with product management, engineering, marketing, and growth teams.

Great benefits, amazing perks, remote work, stock incentives, and a flexible PTO policy make Kraken a great place to work. If you value having a seat at the table and want to make a big impact on guiding the direction of marketing and growth at one of the top crypto exchanges in the world, this role is for you.

Responsibilities

Develop, mentor and hire a world-class data science team that is a competitive advantage for our company
Partner with product, engineering, marketing, finance and other relevant stakeholders to identify, prioritize, and execute on opportunities
Lead the development of analytics, statistical and ML modeling with strong quantitative rigor to produce material impact for Kraken
Work with engineers to evangelize data best practices and implement data analytics solutions
Develop, train, and deploy ML models serving predictions and automating business processes
Collaborate with business leaders, subject matter experts, and decision makers to develop success criteria and optimize new products, features, policies, and models
Design experiments for product teams to test hypothesis and help with idea generation and refinement

Requirements

PhD or Masters degree in Statistics, Computer Science, Physical Sciences, Economics, Math or a related technical field
8+ years of experience in data science
A consistent track record of developing and deploying analytics and data science solutions using Python, R, SQL, distributed data warehouses and computing platforms
Experience using statistics and predictive analytics to solve complex business problems
The versatility and willingness to learn new technologies on the job
The ability to clearly communicate complex results to technical and non-technical audiences
Familiarity with other data tools such as Druid, Hadoop, Tableau, Superset is a plus

Location Tagging: #EU #US

We’re powered by people from around the world with their own unique and diverse experiences. We value all Krakenites and their talents, contributions, and perspectives, regardless of their background.

As an equal opportunity employer we don’t tolerate discrimination or harassment of any kind. Whether that’s based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws.

Stay in the know

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Product Data Scientist Segment

See yourself at Twilio
Join the team as our next Product Data Scientist at Twilio Segment!
Who we are & why we’re hiring
Twilio powers real-time business communications and data solutions that help companies and developers worldwide build better applications and customer experiences.
Although we're headquartered in San Francisco, we have presence throughout South America, Europe, Asia and Australia. We're on a journey to becoming a globally anti-racist, anti-oppressive, anti-bias company that actively opposes racism and all forms of oppression and bias. At Twilio, we support diversity, equity & inclusion wherever we do business. We employ thousands of Twilions worldwide, and we're looking for more builders, creators, and visionaries to help fuel our growth momentum.
About the job
Twilio is growing rapidly and seeking a Product Data Scientist who is responsible for leveraging the 360° of information we collect using our own Segment platform, to understand what makes someone discover us and come to love our product. You’ll collaborate with teams on the front lines of our business, from engineers to UX designers and marketers. You’ll create models, design experiments, and develop perspectives that help us drive customer acquisition and activation. As a “data person at a data company”, you’ll be given a unique ability to define and share best practices in using hypothesis-driven reasoning to grow a company.
Responsibilities
In this role, you’ll:

BE AN OWNER: Work with marketing and growth teams to define how they measure and track towards their success. Use your knowledge and the power of data to inform day-to-day operations, as well as company-level strategic decisions
DRAW THE OWL: Design experiments and interpret results to draw informed and actionable conclusions. Implement predictive models; collaborate with data engineers and operations teams to productionize your work.
BE BOLD: Creatively leverage new and existing data to identify business opportunities others have missed.
EMPOWER OTHERS: Interact extensively across all functional teams within Twilio. Influence cross team initiatives and mentor junior engineers. Raise the bar on team performance.
NO SHENANIGANS: Ensure the consistent exercise of appropriate judgment and discretion in evaluating opportunities, conducting due diligence, and maintaining transparency.

Qualifications
Not all applicants will have skills that match a job description exactly. Twilio values diverse experiences in other industries, and we encourage everyone who meets the required qualifications to apply. While having “desired” qualifications make for a strong candidate, we encourage applicants with alternative experiences to also apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!
Required:
Twilio is looking for an data scientist who lives the Twilio Magic and has significant experience in data manipulation, modeling and storytelling. You are an ideal candidate if you:

Naturally frame your work within the scientific method: hypothesis generation, experimentation, and iteration
Can synthesize and communicate complex ideas to a variety of audiences
Have strong business acumen
Are enterprising and empathetic with your customers
Have at least a bachelor’s degree, preferably in a quantitative or technical field
Have 4+ years of work experience in either an analytical/scientific role, or in a growth-focused position at a startup

Location
This role can be remote in the US.
What We Offer
There are many benefits to working at Twilio, including, in addition to competitive pay, things like generous time-off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.
Twilio thinks big. Do you?
We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts.
So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now!
If this role isn't what you're looking for, please consider other open positions.
(Location dependent information)
Colorado applicants:

The estimated pay range for this role, based in Colorado, is $120,160.00 - $150,200.00

Non-Sales: Additionally, this role is eligible to participate in Twilio's equity plan.

The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location within the state. This role is also eligible to participate in Twilio’s equity plan and for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave.

#LI-remote


Data Scientist

Because you belong at Twilio.
The Who, What, Why and Where
Twilio is growing rapidly and seeking a Data Scientist to be an individual contributor to the analytics team for the NAMER (North America) finance team. The person in this role will be working with cross-functional partners in developing topline metrics ; performing exploratory analysis on customer LTV, sales productivity, quantifying impacts for any product improvement or launch; and build & own analytical frameworks that guide the financial roadmap.
Who?
More specifically, we are looking for candidates with the following skills and experience:

BS/MS/PhD in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, etc.
Experience building data sets, pipelines, and models in Data warehouse
4+ years of experience working in product/finance analytics or data science
2+ years of experience with metrics, A/B testing and experimentation
Expert level SQL and Python skills and dashboarding skills in tools like Looker or Tableau
Familiarity with statistical modeling and statistical programing languages like Python or R
Excellent communications skills, with the ability to synthesize, simplify and explain complex problems to different types of audience, including executives

What?
As a Data Scientist, you will live the Twilio Magic values:

WRITE IT DOWN: Develop insights and recommendations through exploratory analysis, hypothesis testing, analyzing results from experimentation, and building models
DRAW THE OWL: Work with cross-functional partners in Product, Sales, Finance, Engineering, and Operations on defining metrics, forecasting their targets and building attribution framework for achieving them
BE AN OWNER: Creatively leverage new and existing data to increase the effectiveness and efficiency of our decision-making infrastructure
WEAR THE CUSTOMER’S SHOES: Define and monitor key metrics and market intelligence to derive insights and identify opportunities for existing and evolving products.

Why?
Finance Analytics plays a key part in building an increased understanding of our products, our customers, and our business so that we can help our teammates make better data-driven decisions. As part of the Finance Analytics team you will be working with product managers, sales analytics,  design, engineering, operations, sales and other cross-functional partners in developing metrics and KPIs, forecasting quarterly targets, conducting deep analyses, designing and monitoring experiments, and developing models to help make data-driven decisions. You will play an influential role in helping drive critical financial decisions. You’ll have an opportunity to work with high-caliber individuals to drive strategic and operational improvements at our company.
Twilio is a company that is empowering the world’s developers with modern communication in order to build better applications. Twilio is truly unique; we are a company committed to your growth, your learning, your development, and your entire employee experience. We only win when our employees succeed and we're dedicated to helping you develop your strengths. We have a cultural foundation built on diversity, inclusion, and innovation and we want you and your ideas to thrive at Twilio.
Where?
We employ diverse talent from all over the world and we believe great work can be done anywhere. Around the world, Twilio offers benefits and perks to support the physical, financial, and emotional well being of you and your loved ones. No matter where you are based, you will experience a company that believes in small teams for maximum impact; seeks well-rounded talent to ensure a full perspective on our customers’ experience, understands that this is a marathon, not a sprint; that continuously and purposefully builds an inclusive culture that empowers everyone to do their best work and be the best version of themselves.
About Us
Millions of developers around the world have used Twilio to unlock the magic of communications to improve any human experience. Twilio has democratized communications channels like voice, text, chat, video and email by virtualizing the world’s communications infrastructure through APIs that are simple enough for any developer to use, yet robust enough to power the world’s most demanding applications. By making communications a part of every software developer’s toolkit, Twilio is enabling innovators across every industry — from emerging leaders to the world’s largest organizations — to reinvent how companies engage with their customers.
Colorado applicants:

The estimated pay range for this role, based in Colorado, is $99,360 - $136,620

Non-Sales: Additionally, this role is eligible to participate in Twilio's equity plan.

The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location within the state. This role is also eligible to participate in Twilio’s equity plan and for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave.


Head Of Data Science

DataKind is looking for a Head of Data Science!

DataKind is looking for an innovative individual who is ready to make a major impact on our data science strategy and help us deliver on our next decade of data science solutions for positive social impact. If you’re a self-starter eager to turn vision into action, you’re a strong communicator who delights in teaching and sharing knowledge, and you aren’t afraid to dive into messy, small, and/or complex datasets, we want to bring you on board!  This is a new role at DataKind, and you’ll be a key cross-functional collaborator with significant autonomy to design, propose, and implement processes that will ensure DataKind delivers best-in-class data products for the social sector.
Location
This is a remote position that can be based anywhere in the U.S. and requires the majority of working hours each day to fall between 8am and 6pm Eastern Standard Time.

Salary RangeMid-career level, $130,000 - $160,000 / Senior-career level, $160,000 - $190,000.

This position could be hired at one of two levels - either a mid-career level or a senior-career level.  At a mid-career level, the annual salary range is between $130,000 and $160,000, and at a senior/director level, the salary range is between $160,000 and $190,000.
Actual salary from the ranges above will be based on the candidate’s experience and internal salary equity scan of active employee(s) with similar role and experience.
About DataKind
DataKind is a global nonprofit dedicated to harnessing the power of data science and artificial intelligence (AI) in the service of humanity. DataKind teams talented pro bono experts from academia and industry with visionary changemakers to collaboratively design innovative solutions to tough social challenges. We help social organizations apply their data to predictive analytics, machine learning algorithms, and AI needs in a way that both increases impact and prioritizes ethics.

We’re 20,000 strong: DataKind volunteers hail from almost every country across the world, representing a community of technologists and social changemakers who believe in using data science and AI for a stronger planet and a more just and prosperous world.

We have completed 350+ projects around the world: From using satellite imagery to measure crop yields to automating the fight against hate speech online, our volunteer community has shown up to  help solve some of the most pressing social, economic and environmental challenges around the world. Through this approach, illustrating what we call “the art of the possible,” these projects have resulted in more effective NGOs, more funding for social change organizations, and more awareness of the power (and pitfalls) of data science and AI in the social sector.

People are at the center of our process: DataKind celebrates human-centered design principles that focus on the “why,” the “for whom,” and the “should we” long before we ever get going on the “what.”
“AI for Good” will only succeed if it’s “AI for All”: We’ll continue our work until all people and all communities can use digital technology for the outcomes they want to see. We support not just the tech communities of today, but anyone in any community who wants to lead in how data technologies serve their needs fairly, with an emphasis on including individuals from groups that are historically underrepresented in technology or will be impacted by the intervention.

DataKind has always known that we’ll not be able to combat all of the world’s looming challenges through individual, short-term projects alone. We’re now focusing the DataKind network on issue areas, including improving health outcomes and increasing economic resilience for all. You can read more about our strategy here.
About the Opportunity & What You’ll Do
Our growing organization is looking for experienced candidates for the position of Head of Data Science. As a new position within DataKind, the Head of Data Science will be a key member of our senior thought leaders in the organization.
Reporting to the Senior Director of Product and working closely with the Director of Technology, the Head of Data Science will lead data product development, data science team development and support, and data science strategy. In addition to technical skills, we’re looking for someone who’s excited about external thought leadership and internal cross functional collaboration.
Data Product Development (50% of time)
Providing technical and strategic leadership to manage DataKind’s core service delivery activities. Example activities include:

For a portfolio of DataCorps and DataDive event projects, lead on each step of the DataKind project process as outlined in the DataKind Project Playbook.

Direct/Lead project sustainability activities

Audit data science solutions that have been proposed and created by volunteer-led data science teams at several phases of the project process to ensure high quality technical output that meets the needs of the partner client
Implement maintenance plans for projects once core teams have completed their commitments with DataKind
Revise DataKind’s playbook and other knowledge management and best practices documents to be aligned to current best practices in the sector

Lead the technical strategy and roadmap development to open source specific products within DataKind’s grant funded portfolios

Data Science Strategy and Thought Leadership (25% of time)
Leading strategy development and training across internal and external stakeholders to establish DataKind’s long term data science strategy. Example activities include:

Propose, collaboratively develop, and drive implementation of  the data science solution strategy at DataKind inclusive of problem types, solution types, techniques, languages, and more
Pursue thought leadership in the data science sector through the lead authorship of quarterly blogs or other publications
Represent DataKind externally at conferences and public speaking opportunities
Ensure staff are aware of the data science strategy, advances in the data science field, and applications of data science

Data Science Team Development and Support (15% of time)
Engage with DataKind volunteers and staff to elevate DataKind’s overall technical practice through training, conversation, and partnership. Example activities include:

Recruit, hire, and manage staff and/or consultant data scientists as required to meet target deliverables
Recruit and select DataKind volunteers to meet project deliverables
Provide technical review, thought partnership and advice for volunteer-led projects

Cross-Team Collaboration (10% of time)
Work with DataKind staff teams to ensure that our systems and processes are continuously improved and meeting established standards.  Example activities include:

Contribute to internal best practices in partnership with the Global Volunteers team, including both the network and the Center of Excellence
Provide technological support to the DataKind HQ staff and chapter network on such tools as AWS, Salesforce, and other tech stack services essential for the day-to-day operations of the DataKind team
Work alongside grants managers to manage budgets for technical services within each deliverable
Work alongside the Technology Team to establish and ensure strong data use for DataKind’s internal practices

How You’ll be Measured
At the end of Year One, the Head of Data Science will have accomplished the following:

Successful data science deliverables met for all committed work
Creation and presentation of a data science strategy roadmap for DataKind
Proposal and management of a data science budget to manage the strategy roadmap
Engagement through timely and proactive communication regarding volunteers, projects, and opportunities such that the DataKind team is able to react and contribute to solutions
Contribution to at least two thematic area landscapes for data science possibilities within particular sectors
Publication of two written thought leadership publications
Presentation within two webinars or conferences

Qualifications

Required:

Alignment with DataKind mission and values, including our commitment to anti-racism
Documented expertise in data science models, tools and languages (Python, R etc.) through portfolio materials (e.g. GitHub) and participation in interview thought exercises
Demonstrated expertise in stakeholder engagement to define problem statements,
Demonstrated experience in technical team leadership
Previous people-management experience
Strong written and oral English-language communication skills
Ability to compile and deliver written reports, budget plans and strategy presentations for external audiences
Ability to work occasional nights and weekends eastern time for meetings or events with our global community of partners and volunteers.  (e.g. up to four nights or one weekend per month)

Preferred:

Experience with open source software development and maintainer communities
External publications or presentations demonstrating thought leadership in the data science field
Previous experience in skilled volunteerism either as a volunteer or staff supporter
Academic qualifications in data science (e.g. Masters’ or PhD in a STEM field)

Why Work with DataKind
At DataKind, we believe that people are the most important asset to delivering on our mission to collaboratively design data-driven, innovative solutions to tough social challenges. Working with us means that you will have:

Flexibility in your working schedule. This includes flexing your schedule, ending your workday early or starting late to care for kids or to walk your dog, etc. It also includes a bi-weekly “Flex Friday,” or shared focused day where no internal meetings are scheduled and staff can dedicate time for writing and other focused required tasks.

Generous leave policies: Paid Parental Leave, 14 paid holidays annually and unlimited PTO!

Access to an outstanding health plan. We pay 100% of medical, vision, and dental benefits for employees and 70% for spouse and dependent coverage.

Support to plan for your future. We offer a 401(k) plan and match employee contributions up to 5% of the annual salary.

Opportunities to learn and grow. Each year, we budget funds for each staff person to access ongoing professional development support.

Wellness Reimbursement Program. A wellness program that gives employees the ability to request reimbursement for wellness and lifestyle purchases that are meaningful to them like bikeshare/gym memberships, home workout equipment, or home office wifi service.

DEI commitment. DataKind is committed to a diverse, equitable and inclusive work environment in both our day-to-day work and via special initiatives that are driven by our DEI Steering Committee.

DataKind is an Equal Opportunity Employer
DataKind is an equal opportunity employer and strongly encourages candidates from underrepresented groups in tech to apply. DataKind does not discriminate on the basis of race, color, gender, disability, religion, national origin, age, sexual orientation, genetic information, pregnancy, or any other protected category.
Applicants must be currently authorized to work in the United States on a full-time basis.


Senior Data Scientist

🚗 🚗 Here at Jerry, we think owning a car should be as easy as taking a drive. 🚗 🚗
The Data and Analytics (DNA) team owns data at Jerry and drives intelligent business decision making through analytical insights and advanced models.  The DNA team is seeking an exemplary data scientist to accelerate the company’s continuous growth and take its customer experience to the next level.
As a senior data scientist, you bring your expertise in product and user analytics to Jerry.  You will lead the design and development of A/B tests and analytical models to understand user experience and drive feature and design decisions.  You will join a team of data engineers, data analysts and data scientists.  We are passionate about our mission to build a car ownership super app.  We work hard and we also like to have fun.
RESPONSIBILITIES
Lead the design and development of A/B tests on app features and user experienceProduce research projects to recommend business strategiesDefine data science standards and best practices and drive operational excellencePartner with product managers to advise product decisionsPartner with and mentor data analysts to build reports and visualizationPartner with other data scientists to evolve, optimize and integrate machine learning models
BASIC QUALIFICATIONS
Master’s degree in a highly quantitative field (Computer Science, Mathematics, Statistics, Operational Research, Machine Learning, etc.)5+ years of experience as a data scientist or in a similar role3+ years of experience with scripting languages (Python, Java, etc.) or statistical packages (R, SAS, Matlab, etc.)Hands-on experience of SQL Proven experience in designing and implementing A/B tests and other user researchesProven ability in effective verbal and written communication to technical peers and leadership teams with various degrees of technical knowledge
PREFERRED QUALIFICATIONS
Doctoral degree in a highly quantitative field (Computer Science, Mathematics, Statistics, Operational Research, Machine Learning, etc.)5+ years of experience as a data scientist with a consumer-facing technology company 3+ years of experience as a data scientist working on user acquisition and retention initiativesExperience with web and app user experience analysis3+ years of experience working on machine learning modelsExperience in analytical and visualization platforms (Tableau, Qlik, Power BI, etc.) Experience providing technical leadership and mentorship
About Jerry:
Jerry is building the first Super App to save car owners time and money on all their car expenses. Drivers deserve better. That’s why we’re committed to making shopping for insurance, financing, maintenance, repairs, parking and more just a few clicks, texts, or swipes away.
Jerry is taking processes that haven’t substantively changed in decades and reimagining and redesigning them. Using artificial intelligence, machine learning and bots, Jerry eliminates the need for long forms and phone calls while providing personalized services for all car-owners’ needs.
Today, Jerry is the #1 rated and most downloaded app in its category and the fastest way to compare and buy car insurance. We have more than 1M customers and we are just getting started. Join our team of curious and passionate people who love tackling real-world problems and be a part of building a revolutionary product that’s disrupting a massive market.
Jerry was founded in 2017 by serial entrepreneurs and has raised more than $130 million in financing.


Director Ii Data Science Product Design Modeling Property General Liability

The Product Design and Modeling team has two openings for a Director II, Data Science, who will each lead a team responsible for driving pricing and non-pricing sophistication in the US Design team separately for the Property and General Liability (GL) lines of business. These managers will report directly to the Package & WC Design Lead and will collaborate with global teams in Product Design and Modeling, including Complex Components, Demand Modeling, and Pricing Sophistication.
The positions are responsible for the following:
Building complex models that lead best-in-class new business pricing sophistication
Leading the project and pricing management of the Property or GL line of business
Developing a high-performing pricing modeling team
This level reflects broad knowledge of Business Lines products, actuarial & data science techniques, and the application of those techniques for the Property & GL lines of business, separately.
Responsibilities:
Develop expertise in Property or GL products in self and team as well as understanding of relationship with BOP products
Build complex models that lead best-in-class new business pricing sophistication
Collaborate with Economics team to understand product performance, investigate gaps and drive for additional accuracy in pricing models
Explore and utilize advanced modeling techniques (e.g., machine learning techniques such as Elastic Nets); collaborate with the Office of Data Science, and partner teams in Product Design and Modeling and Global Risk Solutions(Commercial Lines) to develop and align on best practices
Collaborate with Delivery, Solutions, and Underwriting Effectiveness teams to help implement new pricing programs
Provide thought leadership on the pricing strategy of Property or GL and how they support the BOP line of business
Lead the project and pricing management of the Property or GL line of business
Understand the competitive marketplace, business issues, and data challenges to deliver actionable insights, recommendations, and business processes
Develop a high-performing pricing modeling team
Job Specifications:
Reference:  2022-47152
Category: Data Science
Primary Location: Remote
Additional Locations: Boston, MA; Seattle, WA;
Schedule: Full-Time
Salary: USD-$172,900.00-–-$227,500.00-/-Year
Education Level:
 Travel: As Needed


Sr Data Scientist

About thredUP:

thredUP is transforming resale with technology and a mission to inspire a new generation of consumers to think secondhand first. By making it easy to buy and sell secondhand, thredUP has become one of the world’s largest resale platforms for women’s and kids’ apparel, shoes and accessories. Sellers love thredUP because we make it easy to clean out their closets and unlock value for themselves or for the charity of their choice while doing good for the planet. Buyers love shopping value, premium and luxury brands all in one place, at up to 90% off estimated retail price. Our proprietary operating platform is the foundation for our managed marketplace and consists of distributed processing infrastructure, proprietary software and systems and data science expertise. In 2018, we extended our platform with thredUP’s Resale-As-A-Service (RaaSⓇ), which facilitates modern resale for a number of the world’s leading brands and retailers. thredUP has processed over 125 million unique secondhand items from 35,000 brands across 100 categories. By extending the life cycle of clothing, thredUP is changing the way consumers shop and ushering in a more sustainable future for the fashion industry.

How You Will Make An Impact

At thredUP, we’re working to revolutionize the clothing industry and we're looking for a curious and creative team member to help manage our complex, multi-sided marketplace. As part of our data science team, you will take on the critical task of realizing the power of our inventory. You will work with an interdisciplinary team of data scientists, software engineers, analysts, and product managers to generate marketplace insights and build the algorithms that drive pricing, discounting, supplier acquisition, and inventory management efforts. If you get excited about data-driven decision making and want to play a role in managing a highly dynamic marketplace, we’d love to meet you.

In This Role You’ll Get To

Design and implement algorithmic solutions to drive decisions around item acceptance, item pricing, and discounting and clearance strategies for 4.8M unique items in inventory and 1.5M new items every month
Uncover insights in our vast repository of raw data, providing tactical guidance on how to achieve an inventory assortment that maximizes growth and value for all marketplace participants
Design, configure, and analyze experiments that uncover fundamental truths about our marketplace and maximize the value of our inventory and drive business growth
Create mathematical representations of the flow of items into and out of our marketplace with keen attention to the constraints of an evolving operational system
Drive the inventory strategy for promotions, merchandising campaigns, and sales, and investigating their effect on inventory and buyer mix
Participate in our knowledge-sharing culture by spreading best practices and learnings from prior experiences, helping the entire team level up

What We’re Looking For

Professional experience in data science, machine learning, or software engineering roles
Strong cross-functional communication skills that help push projects forward and encourage the development of new collaborations with business teams
Innate curiosity and drive to find insights that unlock new growth or efficiency - you can’t help but dig in and seek the truth!
Well-rounded skill set that may include statistics, machine learning, data visualization, software development, and project management
Advanced knowledge of SQL and Python, with experience writing code in a collaborative environment
Prior experience working with marketplaces and/or a relevant background in economics or operations research is a plus

What We Offer:
- 4-day work week with Fridays off
- Competitive salary (we leverage market data) + stock
- Employee stock purchase plan
- Flexible PTO (take the time you need) + 13 company holidays (US offices)
- Paid Sabbatical after 3 years of full time employment
- Generous paid parental leave for new mothers and fathers
- Medical, dental, vision, 401k, life and disability insurance offered
- We live by our Core Values of Transparency, SpeakingUP, Thinking Big, Infinite Learning, Influencing Outcomes & Seeking the Truth
- Voted “50 Most Innovative Companies of 2020”
- RaaS - Finalist in Fast Company’s World Changing Ideas Awards 2021
- 2021 FORTUNE Change the World Finalist

We believe diversity, inclusion and belonging is key for our team.
At thredUP, our mission has been built on extending the lives of millions of unique clothing items. Much like our inventory, we are proud to have fostered a workplace that is one-of-a-kind. As a company focused on diversity, inclusion and belonging, we are committed to ensuring our employees are comfortable bringing their authentic selves to work every day. A unique perspective is critical to solving complex problems and inspiring a new generation to think secondhand first. Be you.

If you are a Colorado applicant, please e–mail careers@thredup.com for salary information.


Senior Data Scientist Marketing

Hi, we’re DuckDuckGo, the Internet privacy company for everyone who's had enough of hidden online tracking and wants to take back their privacy now. For over a decade, we've been building our product, including new privacy technology, and working with policymakers to make online privacy simple and accessible for all.

Our app is now downloaded more than 50M times a year, and our private search engine packaged with it has become the #2 search engine on mobile in the U.S., Canada, Australia and the Netherlands. Oh, and we've been profitable since 2014 with revenue currently exceeding $100 million a year! Now we’re rolling out major new features, such as Email Protection and App Tracking Protection, and we’re also working on a desktop browser version of our app for Windows and macOS.

We’re looking for a Marketing Data Scientist to help shape our all-in-one privacy solution and join our mission to show the world that protecting your privacy online can be simple.

The Opportunity
In this role You will bring a data science perspective to marketing campaigns to ensure we design tests optimally to gain statistically valid strategic insight. You will also improve, streamline, and apply our methods for analyzing data to assess the effectiveness of our marketing campaigns.

What You Will Bring to DuckDuckGo
Ability to lead and collaborate on high-impact and complex projects from proposal through post-mortem.
Skills to wrangle vague problems, propose innovative solutions, and execute them with a strong focus on metrics.
Significant experience with data science with a focus on analytics.
Experience with statistical modelling and time series analysis
Experience designing experiments and interpreting results.
Experience with marketing campaigns
Comfortable working with internal funnel and usage data as well as survey-type metrics and ability to combine and synthesize takeaways across data sets.
Experience with segmentation and ability to tease out insights from large and sometimes ambiguous data sets and translate into hypothesis and media recommendations
Creative and curious, innate desire to pose questions of the data and seek novel findings that can help direct the company's strategy.
Enjoys working independently and collaboratively with agencies, media planners, media strategists, user insights and product experts etc.

How We Will Support You
Our core values -- build trust, question assumptions, and validate direction -- underpin how we work day-to-day and the support we give our team members. We strive to empower our team members to be self-directed and self-motivated in their work.

Remote First, Always: We've always been a fully distributed company with team members all over the world. We trust you to get your work done wherever, whenever.

Commitment to Personal Growth: Every team member has an annual budget of $1,250 USD to invest in their professional development. Every team member also has a dedicated Career Advisor, who serves as a guide to help you develop your strengths, identify your motivations, and understand your opportunities for growth.

Leadership: We have many different types of leaders and possible combinations of leadership roles, so you can grow your career in a way that aligns best with your personal goals. You can seek additional leadership roles by being directly responsible for projects, taking ownership of areas of the company, developing and maintaining internal processes, or pursuing advisory roles.

Work/Life Balance: Team members have the freedom and flexibility to organize their own work schedules. We want you to thrive both in and out of the office. We trust you to use good judgment and take the time off that you need to bring your best self to work.

We also offer paid parental leave, a co-working stipend, office setup reimbursement, and a wellness stipend. More support resources can be found in our, Team Member Support Guide, which explains how we make your well-being a priority.

For more information on how we collaborate worldwide, from leadership in our relatively flat organization to start-to-finish ownership, check out DuckDuckGo Culture: How We Work.

Compensation
Annual compensation: $160,000 USD and stock options.

Hiring Process
Hiring works best when it's a two-way street. Learn how we help you get to know DuckDuckGo and envision your future role here. Find out more about how we hire.

Diversity, Equity, and Inclusion
DuckDuckGo provides equal work opportunities to all team members and applicants, and it prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex (including pregnancy), 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.

We want to ensure that our hiring process is accessible. If you need reasonable accommodation for any part of the application process because of a medical condition or disability, please send an email to careers@duckduckgo.com to let us know the nature of your request.

If you think you might thrive in this environment, we would love to hear from you.

Please note that:
Sometimes we meet up! Expect to travel at least two times a year: once for our all-hands meetup and again for a team retreat (each around 4-5 days). While these plans were halted due to the COVID-19 pandemic, we plan to recommence all company meetups in 2022.
While we offer a flexible work arrangement with no core hours, expect an average full-time commitment of 40 hours per week.
A successful candidate will be subject to a background check and must receive satisfactory results of the same, as a condition of joining the team.
By applying for this role, you confirm that all information submitted is accurate and complete. You further acknowledge that providing false or fraudulent information during the application process is cause for denial of an offer, revocation of any existing offer, or other adverse action, up to and including termination after the start of your commencement of work.


Data Scientist Engagement Experimentation

About Us:
Cityblock Health is the first tech-driven provider for communities with complex needs—bringing better care to where it’s needed most, block by block. Founded in 2017 on the premise that “health is local” and based in Brooklyn, we are backed by Alphabet’s Sidewalk Labs along with some of the top healthcare investors in the country.
Our mission is to improve the health of underserved communities. Importantly, our solutions are designed specifically for Medicaid and lower-income Medicare beneficiaries, and we meet our members where they are, bringing care into the home and neighborhoods through our community-based care teams and Virtual Care offerings.
In close collaboration with community-based organizations, local providers, and leading health plans, we are reorganizing the health system to focus on what matters to our members. Equipped with world-class, custom care delivery technology, we deliver personalized primary care, behavioral health, and social services to deliver a radically better experience of care for every member and community we serve.
Over the next year, we’ll grow quickly to bring better care to many more members and their communities. To do this, we need people who, like us, believe that everyone should have good care for what matters to them, in their community.
Our work is grounded in a belief in the power of a diverse community. To close gaps in care and advance equity in the communities we serve, we have to start with making our own team diverse and inclusive. Our ways of working are characterized by creativity, collaboration, and mutual learning that comes from bringing together a community from diverse backgrounds and perspectives. We strive to ensure that every person on the Cityblock team, and every Cityblock member, feels supported and included as a part of our community.
Our Values:

Aim for Understanding
Be All In
Bring Your Whole Self
Lean Into Discomfort
Put Members First

About the Role:
This individual will work closely with Cityblock’s engagement team, sitting at the intersection of using healthcare data to enhance member outreach and engagement success, and to inform strategies for future engagement efforts in a complex member population. Using statistical methods, this individual will work closely with the Head of Behavioral Insights to test hypotheses and set up experimental designs to run multiple parallel experiments across different member populations to determine the most effectives methods of member outreach to drive engagement. This role will also collaborate closely with the upstream Data Platform team to inform how we should enhance our data warehouse infrastructure to enable scalable engagement experimentation. The products of this individual’s work should lead to the design and development of an experimentation infrastructure that leverages technology to meet stakeholder needs beyond just engagement initiatives, and has broader impact across the organization.

Requirements for the Role:

Master’s in a statistical field such as biostatistics or epidemiology preferred, or bachelor’s degree in a similar quantitative field with 5+ years of industry experience
Strong communication and presentation skills required, particularly regarding the communication of data and insights
Ability to self-manage multiple projects independently and balance these across multiple stakeholders
Experience using SQL-based data warehouses required, bonus if experience using Google Cloud Platform tooling such as BigQuery, as well as proficiency with data programming languages such as R or python and their relevant statistical packages

How We Define Success:

Strong relationship development with key stakeholders leading to success of and agile decision-making in their experimentation initiatives
Creation of data-informed roadmap for building out more scalable experimentation infrastructure
Development into key opinion leader for how experimentation should be approached across the organization

Nice to Have, But Not Required:

Experience with healthcare data is helpful but not required
Experience related to marketing and engagement in any industry is a plus
Leadership or prior management experience preferred

What We’d Like From You:

A resume and/or LinkedIn profile
A short cover letter, please!

Cityblock values diversity as a core tenet of the work we do and the populations we serve. We are an equal opportunity employer, indiscriminate of race, religion, ethnicity, national origin, citizenship, gender, gender identity, sexual orientation, age, veteran status, disability, genetic information, or any other protected characteristic.
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We do not accept unsolicited resumes from outside recruiters/placement agencies. Cityblock will not pay fees associated with resumes presented through unsolicited means.