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Head of Data Science

Midi

Midi

Data Science
Palo Alto, CA, USA
Posted on Jan 17, 2025

Head of Data Science @ Midi Health: 👩‍⚕️💻

You will have a unique opportunity to lead a team that drives insights and develops data science tools to optimize our operations, improve patient outcomes, and support strategic decision-making across the comapny. This role empowers you to shape the future of analytics in women’s healthcare while driving meaningful impact.

Location: 📍Hybrid- 2x a week in Palo Alto office required.

This job is “HOT”: 🔥

  • You will lead a high-performing team of data engineers, analysts, and scientists to build out the analytics function from the ground up.
  • You will lead our Data Science organization working with diverse stakeholders to make data a central driver of company strategy.
  • Drive strategic projects like predictive modeling for patient outcomes, marketing mix modeling, and optimizing clinical workflows with data-driven insights.

Business impact – Not just surviving but helping ensure women thrive in all stages of life 📈

  • Shape and execute strategies to help Midi hit its growth goals by unlocking actionable insights across patient acquisition, retention, and operational efficiency.
  • Build tools and frameworks to ensure we use data ethically and effectively to support better patient care.
  • Collaborate with cross-functional teams (clinical, marketing, finance, and more) to embed analytics into every key decision Midi makes.

What you will need to succeed: 🌱

  • You have managed, hired, and mentored high-performing data science teams (5+ years in Dir level role).
  • Must have experience working with Growth/User Acquisition data- (Paid Advertising, Paid Social, DRTV, Podcast, etc)
  • Strong technical skills in SQL, Python, and advanced analytics platforms; familiarity with tools like Hadoop, Spark, and cloud solutions like AWS.
  • Proven track record of building analytics frameworks and prioritizing high-impact projects.
  • Experience in advanced analytics, including predictive modeling and machine learning.
  • Can translate complex data insights into actionable strategies for both technical and non-technical audiences.
  • Thrives in a fast-paced, collaborative environment where you’re encouraged to think big and solve tough challenges.

Bonus Points: ⭐

  • Worked with healthcare data systems like EHRs (AthenaHealth knowledge is a big plus).

The interview process will include: 📚

  1. Recruiter Screen (30 min)
  2. Hiring Manager Screen (1 hr)
  3. Final Team Interviews (4+ hours) 1-1 interviews with members of our leadership team.


While you are waiting for us to review your resume here is some fun content to check out Our patients love us- check out some content here and here ♥️

This role requires authorization to work in the United States without current or future visa sponsorship, including visa transfers. #LI-JA1