Data Scientist, Operations

Mochi Health•San Francisco, CA

4h•Onsite

About The Position

We’re a telehealth company helping people lose weight at scale. Our operations team is core to delivering care - but scaling care delivery is messy, complex, and full of hidden inefficiencies. We’re looking for a Data Scientist who thrives on turning operational chaos into clarity. You’ll combine analytical thinking with engineering pragmatism - owning dashboards, automating workflows, uncovering bottlenecks, and building internal tools that let our team move faster with less friction. This role is ideal for someone who wants impact, autonomy, and real-world complexity.

Requirements

Bachelor’s or Master’s in a quantitative field (e.g., Statistics, Engineering)
2+ years of experience using data to solve product, marketing, or business problems
Strong Python and SQL skills; write clean, maintainable code
Experienced in building dashboards and internal tools (e.g. Streamlit)
Curious, self-directed, and impact-driven - you chase high-leverage problems
Clear communicator who can simplify the complex for any audience
Comfortable with ambiguity and switching contexts in a fast-moving environment

Responsibilities

Own operational analytics end to end, from KPI design to dashboard deployment to stakeholder adoption
Design metrics that drive accountability, surface bottlenecks, and highlight opportunities for automation
Automate high-friction workflows using Python, APIs, and lightweight internal tools
Use AI tools and LLM-powered workflows where they meaningfully improve speed, quality, or scale
Apply experimentation, forecasting, and causal thinking where useful to support operational decisions
Build the right tools for the job, whether that’s a dashboard, internal app, script, or lightweight workflow layer
Partner closely with operations, product, and leadership to turn ambiguous problems into practical systems and measurable improvements