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Director of Data Science

1 month, 1 week ago
United States
Full-time
Executive
Data Scientist
Data Science and Analytics
LLM Machine Learning MLOps NLP Python PyTorch Snowflake SQL
Apply Now
SmarterDx

SmarterDx

SmarterDx ensures revenue integrity by leveraging A.I. algorithms to uncover missed opportunities in clinical data, optimizing tasks for accurate ICD 10 coding and guaranteeing a 5:1 ROI.

Professional Services
11-50
Founded 2019
View All Jobs 15

Description

  • Own and evolve the data science strategy across multiple product areas and turn company goals into a prioritized roadmap.
  • Drive portfolio-level prioritization between near-term delivery and longer-term platform investments.
  • Set technical direction and standards for production ML systems from problem framing and data strategy through deployment, monitoring, and iteration.
  • Partner with Product, Engineering, Clinical, and Operations leaders to embed data science into product workflows and decision-making.
  • Represent Data Science in product planning and executive forums by communicating tradeoffs, risks, and impact to senior stakeholders.
  • Lead and scale the Data Science organization, including managers, senior individual contributors, and emerging leaders.
  • Own hiring, onboarding, and talent development while building durable career paths for the team.
  • Champion responsible, interpretable, and clinically sound AI for healthcare use and real-world deployment.

Requirements

  • 10+ years of experience in data science, machine learning, or a related field, including significant people leadership responsibility.
  • Proven experience owning outcomes across multiple teams or product areas.
  • Track record of influencing executive stakeholders and shaping company strategy.
  • Deep expertise in machine learning fundamentals, including the ability to architect ML systems and set technical direction for senior teams.
  • Experience with NLP and healthcare data, including structured and unstructured clinical text.
  • Deep understanding of model evaluation, monitoring, experimentation, and real-world feedback loops.
  • Familiarity with modern ML platforms, cloud infrastructure, and MLOps best practices.
  • Demonstrated ability to connect technical work to revenue, margin, and customer outcomes.
  • Exceptional communication skills with the ability to translate complex technical concepts for non-technical audiences.
  • Strong judgment in balancing speed, rigor, and long-term scalability.
  • Prior experience leading Data Science at a high-growth startup (preferred).
  • Experience with revenue cycle management or hospital operations (preferred).
  • Knowledge of explainable AI and regulatory considerations in healthcare (preferred).
  • Experience building or scaling ML platforms used by multiple teams (preferred).
  • Experience leveraging Large Language Models (LLMs) in production systems (preferred).
  • Technical stack includes Python, SQL, PyTorch, SageMaker, and Snowflake.

Benefits

  • $260k to $280k base salary plus equity incentives.
  • Medical, dental, and vision insurance with coverage for 75% of premiums depending on the plan.
  • Up to 12 weeks of paid parental leave.
  • Remote-first work environment with the ability to work from anywhere in the U.S.
  • Unlimited PTO plus 10 company holidays.
  • 401(k) with Traditional and Roth options and a 4% employer match through Fidelity.
  • Minimal bureaucracy in a fast-moving, high-impact environment.

Interested in this position?

Apply directly on the company website

Apply Now

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