Staff Data Scientist, AI/ML [Remote]

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.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

#LI-CL1

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.