Staff Data Scientist: LTV, Attribution & Growth

Midi Health; San Francisco (CA); Hybrid; USD 210,000 - 240,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

Midi Health is seeking a Senior or Staff Data Scientist to design and own the end-to-end data framework that defines unit economics. You will connect customer acquisition, multi-product lifecycles, healthcare reimbursement cycles, and operational costs to guide spending, pricing, retention, and profitability.

You will sit at the intersection of Data Science, Finance, Marketing, and Operations, acting as a strategic partner to executive leadership.

Qualifications

• 8+ years of experience delivering high-impact data science solutions.
• Master’s or PhD in Economics, Econometrics, Applied Statistics, or a related quantitative discipline.
• Background in Healthcare operations, Marketplaces, or D2C subscription businesses is a plus.

Responsibilities

• Design, build, and own end-to-end data framework for unit economics.
• Develop LTV and reimbursement models accounting for reimbursements and time value of money.
• Create attribution models to quantify cross-product dynamics and pricing impact.
• Run macro-simulations to stress-test business scenarios and payback.
• Collaborate with Finance, Marketing, and Operations; influence leadership decisions.

Skills

Python

SQL

ML model development

Causal inference

Survival analysis

LLMs & generative AI tools

Education

Master’s or PhD in Economics, Econometrics, Applied Statistics, or related field

Tools

Pandas/NumPy

Production-grade ML systems

Job description

Midi Health is seeking a Senior or Staff Data Scientist to design and own the end-to-end data framework that defines unit economics. You will connect customer acquisition, multi-product lifecycles, healthcare reimbursement cycles, and operational costs to guide spending, pricing, retention, and profitability.

You will sit at the intersection of Data Science, Finance, Marketing, and Operations, acting as a strategic partner to executive leadership.