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Midi Health is hiring a
Senior Data Scientist- Growth

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Read by 31 job seekers.

Palo Alto, California

The Opportunity: Join Midi Health as our Senior Data Scientist, Growth. In this role, you will have a unique opportunity to uncover insights and build tools to help our marketing teams optimize our paid and unpaid channels for patient acquisition. You will get the exposure to drive and build data products & tools that enable us to measure, optimize and scale our growth activity beyond just marketing to bring Midi expert care to more patients through various business partnerships.

Location: Hybrid in office, 2-3x per week in Palo Alto. This role is not eligible for sponsorship.

What you’ll be doing:

  • Create and track marketing campaigns' Key Performance Indicators (KPIs) across various paid and unpaid channels.
  • Evaluate the return on investment (ROI) and customer acquisition cost (CAC) for marketing campaigns, identifying high-performing channels/creatives and areas for improvement, considering clinical specialty, patient retention, repeat visits, and lifetime revenue.
  • Leverage Marketing Mix Modeling (MMM) and Multi-Touch Attribution (MTA) to provide actionable insights to the marketing team on budget allocation strategies.
  • Segment patients via clustering algorithms based on geographic regions to tailor marketing strategies effectively, considering regional differences in clinical capacity, insurance restrictions, etc.
  • Collaborate with the business development team to identify potential partners and monitor patient churn/retention/lifetime value (LTV) of patients from these partners via predictive algorithms.
  • Partner closely with the Product team and the Finance team to guide decision makings and project prioritization using data.
  • Establish appropriate analytics framework using cohort and funnel analyses to uncover actionable insights and identify growth gaps, while ensuring statistical rigor.
  • Work closely with the engineering team to design data schema and pipeline for external data from various channels.
  • Develop and maintain dashboards and reports for stakeholders to track performance metrics and key business indicators.

Who you are:

  • Bachelor’s or Master’s degree in a quantitative field (e.g., Statistics, Computer Science, Operations Research, Finance, Healthcare Informatics).
  • 6+ years of industry experience as a Data Analyst/Scientist in marketing, growth, or general data analysis roles.
  • Supervised and unsupervised learnings, experimentation design and statistical analyses.
  • Proficiency in SQL, Python (pandas, numpy, sklearn), and statistics for data analysis, as well as data visualization tools (e.g., QuickSight, Tableau, Power BI), web analytics tools (e.g., Mixpanel), and version control tools (e.g., Github/Gitlab, CodeCommit).
  • Good understanding of Ad Platforms. Example: Meta, Google, Podscribe, Trade Desk, etc

You may also have:

  • Experience working with healthcare data (e.g., patient appointments, electronic health records)
  • Experience working with AWS

Who We Are: Midi Health is the only comprehensive virtual care clinic for women in midlife navigating perimenopause, menopause, and other common midlife health challenges. Our platform provides care designed by experts, scaled by technology, and delivered by trained and compassionate clinicians. We’re passionately focused on improving the symptoms of women’s midlife hormone change because the current system too often leaves women misdiagnosed and undertreated. At Midi, we’re changing that.

What We Offer:

  • Highly competitive salary
  • Generous equity grants
  • 401(k) plan
  • Medical and dental coverage
  • Generous vacation and sick days policy
  • Laptop and home office stipend

Midi Health is a diverse organization. We encourage applications regardless of color, religion, gender, sexual orientation, gender identity or expression, age, nationality, marital status, disability, and veteran status. #LI-JA1

Estimated Salary range:

Our salary intelligence, powered by our AI algorithms, has calculated an estimated range for this position between $140,000 - $180,000 . Please note that the actual salary for this position may vary, as it is dependent on various factors including but not limited to experience, location, and market dynamics.

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