Staff Data Scientist, AI/ML

Accountabilities

• Lead the design, development, and optimization of advanced machine learning and AI systems that power healthcare-focused products and analytics.
• Leverage large-scale, complex healthcare datasets to build, tune, and evaluate machine learning models and AI-driven product features.
• Design and run statistical experiments, including A/B testing, exploratory data analysis, and model performance evaluation frameworks.
• Develop and fine-tune modern deep learning and LLM-based systems, including approaches such as supervised fine-tuning and preference optimization methods.
• Build scalable ML pipelines using distributed computing frameworks and ensure models are production-ready and reliable.
• Collaborate with product, engineering, and analytics teams to define data science initiatives from ingestion through deployment and insights generation.
• Create clear, compelling data visualizations and narratives to communicate complex findings to technical and non-technical stakeholders.
• Contribute to strategic direction for AI/ML initiatives, helping shape roadmap priorities and long-term data science vision.

  Requirements

  • Deep expertise in machine learning, strong engineering skills, and experience working with large-scale data in production environments.
  • 5+ years of professional experience in Data Science, Machine Learning Engineering, or related roles handling complex, high-volume datasets.
  • Strong foundation in statistical methods, including experimental design, probability, and exploratory data analysis.
  • Deep expertise in modern ML techniques, including deep learning architectures and LLM training/fine-tuning approaches (e.g., SFT, DPO, RFT).
  • Proven experience building and deploying large-scale models using frameworks such as PyTorch or TensorFlow.
  • Advanced SQL skills with ability to write and optimize complex queries across relational data systems.
  • Strong Python proficiency, including object-oriented programming and production-grade ML/data science code development.
  • Experience with distributed data processing systems and scalable model training pipelines.
  • Excellent communication and storytelling skills, with ability to translate technical insights into actionable business recommendations.
  • Strong intellectual curiosity, adaptability, and passion for continuous learning in fast-evolving ML/AI fields.

    Benefits

    • Competitive total compensation ranging from $170,000 - $248,000 (salary + equity) depending on experience and qualifications.
    • Equity package enabling participation in company growth and long-term success.
    • Comprehensive medical, dental, and vision coverage for employees and families.
    • Employee stock purchase plan.
    • Flexible, remote-friendly work environment with a strong distributed team culture.
    • Additional wellness, learning, and lifestyle perks supporting professional and personal growth.