Sr. Data Scientist - AI Research in Abbeyville, Colorado at Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr. Data Scientist - AI Research based in United States.

As a Sr. Data Scientist - AI Research, you will contribute to AI and machine learning initiatives designed to improve digital experiences and outcomes in a mission-driven environment.
You will partner closely with Data, Product, Engineering, and clinical stakeholders to turn complex data into actionable insights and scalable solutions.
The role combines advanced analytics, predictive and generative modeling, experimentation, and rigorous evaluation.
You will work with diverse and often messy datasets, developing the data foundations needed to support meaningful product decisions.
Your work will help shape AI-enabled products while ensuring analytical quality, practical impact, and thoughtful evaluation.
This is a highly collaborative role suited to a self-directed data scientist who enjoys technical ownership and solving ambiguous problems.
The position is fully remote within the United States, with the option to work locally from the company’s California headquarters.

• Partner with Data, Product, Engineering, and other cross-functional teams to develop AI/ML solutions that improve platform experiences for providers, clients, and users.
• Develop deep expertise in diverse data sources and collaborate with data engineering teams to create reliable pipelines that incorporate appropriate clinical and business logic.
• Analyze complex and irregular datasets from multiple sources, identifying patterns and translating findings into actionable product and business insights.
• Develop predictive and generative models and establish rigorous evaluation frameworks to measure their effectiveness and guide product iterations.
• Apply statistical methodologies, experimentation, and hypothesis testing to answer complex business and product questions.
• Support AI/ML research and development initiatives, including emerging applications such as prompt engineering and retrieval-augmented generation (RAG).
• Handle time-sensitive ad hoc analytical requests from internal and external stakeholders with accuracy and responsiveness.
• Communicate analytical findings, methodologies, and recommendations clearly to technical, business, and, where applicable, clinical audiences.

• 5+ years of professional data analysis or data science experience in an industry environment, preferably with product analytics or AI/ML-related work.
• Demonstrated experience partnering closely with product and engineering teams to translate analytical findings into practical solutions.
• Strong cross-functional collaboration skills, with the ability to work effectively across technical, business, and ideally clinical domains.
• Strong understanding of statistical concepts and methods, including experimentation, probability, regression, and hypothesis testing.
• Experience conducting comprehensive analyses using irregular, complex, or disparate datasets, with a willingness to clean and structure data before drawing conclusions.
• Advanced SQL proficiency, including the ability to write complex queries across multiple schemas and tables; experience creating database views is preferred.
• Graduate-level statistics coursework and/or an MS in a quantitative discipline such as statistics, econometrics, biostatistics, or quantitative social sciences is preferred.
• Experience with Python for data cleaning, analysis, JSON parsing, API integration, user-defined functions, and automation is preferred.
• Familiarity with AI/ML research and development, including prompt engineering and RAG, is a strong plus.
• Interest or experience in public health is advantageous.
• Strong ownership, curiosity, problem-solving ability, and comfort working independently in a fast-moving, collaborative environment.

• Annual base salary range of $128,000–$197,000, with placement depending on skills, qualifications, experience, location, and other job-related factors.
• Potential eligibility for discretionary performance-based bonuses.
• Fully remote work within the United States, with an option to work from a California headquarters location.
• Comprehensive healthcare coverage, including medical, dental, vision, FSA/HSA, life, and disability insurance options.
• Access to company-provided coaching and therapy services.
• Equity opportunities through discretionary restricted stock units.
• Competitive paid time off, including vacation, sick leave, and company holidays.
• Paid parental leave.
• 401(k) plan with up to 3% employer matching.
• Monthly technology allowance.
• Wellness activities, community events, recognition initiatives, and additional employee perks.