Senior Data Scientist

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

$134K-$202K not verified - source not recorded; timestamp not recorded

401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

50% above the BLS role benchmark for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data Verified - recorded source

Seniority

Senior Inferred - source not recorded

Schedule

Shift type

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Weekend work

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Company

Equity

Offered Inferred - source not recorded

Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Senior Data Scientist San Francisco Senior Data Scientist Location: San Francisco, CA About Waymark Waymark is a mission-driven team of healthcare providers, technologists, and builders working to transform care for people with Medicaid benefits. We partner with communities to deliver technology-enabled, human-centered support that helps patients stay healthy and thrive. We're designing tools and systems that bring care directly to those who need it most-removing barriers and reimagining what's possible in Medicaid healthcare delivery. Key Responsibilities - Lead development and deployment of AI/ML models in clinical workflows for healthcare decision-making, patient targeting, and clinical intervention optimization. - Duties include: design machine learning prediction models and LLM-based tools including multi-agent scheduling systems. - Create technical documentation, system architecture, and project specifications. - Collaborate cross-functionally with product, engineering, and care teams to define goals and timelines. - Build and optimize Python-based data pipelines for claims data and CRM systems. - Conduct research on healthcare data structures and predictive modeling techniques for publication in peer-reviewed journals. - Manage multiple projects independently and supervise junior data scientists, providing technical leadership and mentorship. Telecommuting available. Multiple positions. Minimum Qualifications - Master's degree in Data Science, Computer Science, Statistics, Engineering, or a closely related quantitative field and one (1) year of experience in a data science or machine learning role, which may include industry experience, internships, or research assistantships, performing the following duties: - Programming in Python for data processing and machine learning development, using pandas, NumPy, and scikit-learn; - Writing SQL queries to extract, transform,

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