Data Scientist

About this role

Data Scientist - Job Description

Location:

Remote (San Francisco Bay Area, U.S. based only)

Employment Type:

Full-time

Who We Are Looking For:

We’re looking for a
Data Scientist

based in the U.S. who thrives at the intersection of healthcare, AI, and impact. You’ll take the lead on turning real-world clinical and claims data into models and insights that power our core platform for prior authorization, utilization management, and fraud detection. This is a hands-on, strategic role ideal for someone who wants to work closely with cross-functional teams, drive experimentation, and help shape the future of AI in healthcare.

Key Responsibilities:
1. Advanced Modeling & Experimentation

• Build, validate, and deploy statistical and ML models (classification, time series, NLP, anomaly detection) across diverse healthcare datasets
• Lead experimentation design, hypothesis testing, and model evaluation to inform product strategy
• Contribute to explainability, bias mitigation, and compliance across AI workflows

2. Data Strategy & Analysis

• Analyze high-volume data including claims, clinical notes, EHR, and policy documents to extract actionable insights
• Define key metrics, build reproducible pipelines, and guide dashboarding with product and operations teams
• Design data labeling and sampling strategies that accelerate model development

3. Cross-Functional Collaboration

• Partner with engineering, ML, product, and clinical teams to define data needs and shape AI-powered workflows
• Translate complex findings into clear, compelling narratives for internal and external stakeholders
• Work closely with DevOps and backend teams to ensure scalable deployment and monitoring of models

4. Mentorship & Thought Leadership

• Mentor junior data scientists and contribute to team knowledge sharing
• Keep up with emerging trends in healthcare AI, generative models, and policy-focused analytics
• Represent basys.ai in research, publ...