Build analytical foundations for Member Experience and Contact Center operations by unifying data, developing predictive models like demand forecasting, and creating metrics for data-driven decisions in a fast-paced health tech environment. Requires 5+ years in data science, Python/SQL proficiency, and strong communication skills.
Salary not listed
Remote5+ YOEData Science
About the role
Key Responsibilities
Develop measurement frameworks and north star metrics and data structures that allow different parts of the company to facilitate decision-making.
Perform strategic and operational analyses to identify and prioritize product and business initiatives (e.g. analyses to uncover insights from member support and health testing data, improving user experiences).
Develop models (heuristic, predictive, or ML) and data products that empower the business (e.g. customer support demand forecasting).
Drive self-service to enable a data-driven organization through documentation, education, and training.
Ensure data quality, security, and compliance within all analytical frameworks.
Qualifications/Skills
Must have:
Degree in Data Science, Biostatistics, Computer Science, or a relative quantitative field.
5+ years of experience in data science or analytics at consumer or Enterprise tech companies.
Proficiency in Python, SQL, and data visualization tools.
Ability to communicate complex findings to non-technical stakeholders.
Experience using generative AI tools to accelerate project development.
Nice to have:
Domain/data experience working with Operations (Customer experience measurement, Customer issue tracking/modeling, Demand forecasting).
Experience with GCP (Google Cloud Platform) and Databricks.
Experience with customer support tools like Intercom, Zendesk, or similar.
Experience in healthcare analytics or bioinformatics.
Advanced expertise in machine learning, data visualization, and statistical analysis.
Background in healthcare data compliance (HIPAA) and privacy standards.
Lead and grow a team of 4-6 data scientists at a healthcare startup. Own predictive analytics, marketplace forecasting, and production ML models (matching, quality scoring) while partnering cross-functionally to drive business impact. Requires 6+ years DS experience including 2+ years managing technical teams, strong Python/ML/SQL skills, and production ML expertise.
Salary not listed
Remote6+ YOEData Science
Senior Data Science Manager, Growth & Retention Marketing
PrizePicksAtlanta, GA
Lead a team of data scientists focused on marketing analytics for retention and acquisition. Oversee production ML models, causal inference projects, and LLM integration to drive marketing decisions and business outcomes. Requires 7+ years data science experience including 3+ years managing teams.
180k – 210k/yr
Remote7+ YOEData Science
Lead Data Scientist
Onos HealthSan Francisco, CA
Lead Data Scientist owning development of core predictive AI/ML models on messy healthcare claims and clinical data to identify waste and improve behavioral health outcomes for payers. Requires 8+ years experience, leadership of data science teams, production model deployment, and strong Python/SQL/ML skills.
Salary not listed
Hybrid8+ YOEData Science
Senior Manager, Data Science
HonorUnited States
Lead a Data Science team building production ML, optimization, and AI systems (including agentic workflows) to solve complex operational problems in caregiver-client matching, scheduling, and risk identification for home care. 7+ years experience with 3+ years managing teams; player-coach role partnering with Product, Engineering, and Operations.
229k – 254k/yr
Remote7+ YOEData Science
Senior Data Scientist
PlaidSan Francisco, CA +2
Senior Data Scientist on Plaid's Network Value team supporting the Guard product. Translate product questions into analysis, build metrics/OKRs/dashboards, run experiments, and drive data-informed decisions for a 0-to-1 user-facing fintech product.