Data Science Manager, SmarterDx

• 2+ years managing data scientists or a similar role
• 8+ years of hands-on experience in data science, machine learning, or related fields with strong technical foundations
• Experience in healthcare, medical data, or revenue cycle management with understanding of clinical workflows
• Strong proficiency in Python, SQL, and ML frameworks such as PyTorch or scikit-learn
• Proven track record of scaling teams and establishing processes in high-growth environments
• Experience with cloud platforms (AWS, GCP, or Azure) and MLOps best practices for production deployment
• Exceptional communication skills with ability to influence and drive alignment across cross-functional teams
• Experience leading strategic initiatives that span multiple product areas with measurable business impact
• Deep understanding of machine learning lifecycle from experimentation to production deployment
• Track record of building strong relationships with Product and Engineering leadership on strategic planning

Desirable

• As a Data Science Manager at SmarterDx, you will lead a team of data scientists and play a critical role in scaling our Clinical AI Platform through strategic vision and operational excellence. You will be responsible for creating and executing a comprehensive data science strategy that identifies and prioritizes core modeling components across multiple product lines, while fostering a culture of innovation and technical excellence.
• Your leadership will drive the translation of business objectives into impactful machine learning solutions, ensuring our models deliver measurable value to healthcare organizations. This is a high-leverage role ideal for a technical leader who excels at building teams, removing obstacles, and driving cross-functional alignment in a fast-paced environment
• Develop and execute a comprehensive data science strategy that identifies and prioritizes core modeling components across multiple product lines
• Lead, mentor, and grow a team of 5-8 data scientists, providing technical guidance and career development support
• Partner with Product and Engineering teams to translate business objectives into data science roadmaps and priorities
• Proactively identify and remove blockers that impede team productivity and project success
• Recruit top-tier data science talent and foster a collaborative culture of experimentation and learning
• Guide architectural decisions for shared modeling infrastructure and tooling that supports the entire platform
• Establish data science best practices, standards, and methodologies that accelerate experimentation and deployment
• Drive cross-functional collaboration to ensure seamless integration of ML models into product workflows
• Implement metrics and KPIs to measure team performance and model impact on business outcomes
• Our stack:
• Python
• SQL
• PyTorch
• Snowflake
• AWS