Data Science Manager

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.

SmarterDx builds clinical AI that empowers hospitals to analyze the complete record of every patient to fully capture the value of care delivered. Founded by physicians in 2020, its proprietary AI platform understands the nuances of clinical reasoning, enabling hospitals to true the patient record for every discharge. By doing so, hospitals can recover millions in earned revenue, enhance care quality metrics, and optimize healthcare operations. Become a Smartian and help optimize the way the healthcare system works for everyone. Learn more at smarterdx.com / careers.

What You'll Do

• 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

What You Bring

Nice To Haves

Our stack

Compensation

$220,000 - $250,000 + equity here

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