Staff Data Scientist, AI/ML

Remote (United States)

Job Details

Employment Type: Full-Time

Total Compensation Range: $170,000 – $248,000 per year, including salary and equity

About the Role

This opportunity is for a Staff Data Scientist, AI/ML who will work with large-scale datasets to optimize, tune, and evaluate AI-powered products used by medical professionals. The role combines advanced machine learning, statistical analysis, large language model development, experimentation, analytics, and data strategy.

The position requires close collaboration with product leaders, product managers, analysts, developers, and other technical partners. The successful candidate will help define and lead data projects from ingestion and analysis through recommendations while contributing to the execution and planning of broader data strategy.

What You’ll Do

• Leverage extensive, high-volume datasets to optimize, tune, and evaluate AI-powered products for medical professionals.
• Develop product-facing and client-facing analytics that support product performance, decision-making, and stakeholder needs.
• Work with product leaders and managers to inform data team strategy.
• Actively contribute to the execution and planning of organizational data strategy.
• Collaborate with product managers, analysts, developers, and other cross-functional partners to define and lead data projects.
• Guide data projects through the full analytical lifecycle, including data ingestion, analysis, interpretation, and actionable recommendations.

Qualifications

• At least 5 years of professional experience as a Data Scientist or in a closely related role working with complex, high-volume datasets.
• Advanced knowledge of statistical concepts, particularly exploratory data analysis, experimental design, and probability theory.
• Deep understanding of modern machine learning techniques, including deep learning architectures, reinforcement learning, and large language model fine-tuning.
• Strong knowledge of LLM fine-tuning methods, including Supervised Fine-Tuning (SFT), Direct Preference Optimization (DPO), and Reinforcement Fine-Tuning (RFT).
• Proven ability to design, train, and evaluate large-scale machine learning models using frameworks such as PyTorch or TensorFlow.
• Advanced SQL proficiency, including the ability to write and optimize complex queries across multiple tables and data relationships.
• Advanced Python skills, including object-oriented programming, production-grade code design, and modern data science libraries.
• Hands-on experience with distributed data processing tools and concepts used for scalable analysis and model training.
• Excellent data visualization and storytelling skills, with the ability to translate technical findings into clear and compelling narratives for stakeholders.
• Strong curiosity and the ability to learn quickly, with a demonstrated interest in data, continuous professional development, and advances in machine learning research.

Benefits

• Medical, dental, and vision coverage for employees and their families
• 401(k) with employer matching
• Employee stock purchase plan
• Family planning support
• Childcare Flexible Spending Account (FSA)
• Paid parental leave
• Life insurance
• Accidental Death and Dismemberment (AD&D) insurance
• Disability insurance
• Generous paid time off and holidays
• Paid company trips
• Wellness benefits
• Additional employee benefits and perks