This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Data Scientist, AI/ML based in the United States.
This is a high-impact Staff Data Scientist role focused on building and optimizing advanced AI and machine learning systems that directly support healthcare professionals. You will work with large-scale, complex datasets to improve AI-driven products that enhance productivity, clinical decision-making, and user experience across a widely used healthcare platform. The role blends deep research-oriented ML work with practical product development, requiring strong ownership from experimentation through deployment. You will collaborate closely with product managers, engineers, and analysts to translate real-world healthcare problems into scalable ML solutions. This environment is fast-moving, mission-driven, and highly collaborative, with a strong emphasis on responsible AI and measurable impact. The role also offers the opportunity to influence data science strategy and shape next-generation AI capabilities in healthcare technology.
Accountabilities:
In this role, you will 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:
The ideal candidate brings 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
- 🧑💻 401(k) with employer matching
- 👨👩👧 Family benefits including parental leave, childcare support, and family planning resources
- 🏖️ Generous paid time off, holidays, and wellness-focused benefits
- 💼 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.