Data Scientist - Operations

$150,000 - $200,000
Full-time / Onsite (5 days/week)

About The Role

We’re a telehealth company helping people lose weight at scale. Our internal 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. As a data scientist at Mochi Health, you’ll have the opportunity to work with and support various departments from marketing to operations. 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.

What You’ll Do

• Own the full lifecycle of operational metrics—from KPI design to dashboard deployment and stakeholder adoption.
• Design metrics that drive accountability, surface inefficiencies, and guide automation.
• Automate high-friction workflows using Python, APIs, and lightweight tools.
• Integrate Generative AI and LLMs to optimize and augment workflows.
• Apply causal inference, forecasting, or A/B testing where necessary.
• Choose the right surface for delivery—Tableau, Streamlit, Google Sheets—based on context and audience.

Who You Are

• 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 (e.g. Tableau) 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.

Life at Mochi 💫

At Mochi, we believe your best work happens when you feel your best—so we’ve designed an environment that fuels your creativity, supports your growth, and makes every day exciting.

✨ Comprehensive Health Coverage – Robust medical, dental, and vision insurance to support your health—so you can feel your best, in and out of work.

💰 Financial Security – Plan for your future with a 401(k) plus company matching and fully covered life insurance—because peace of mind matters.

🌴 Time to Recharge – Enjoy unlimited PTO, generous company holidays, and true flexibility. We trust you to take the time you need to rest, reset, and thrive.

🧘 Wellness First – From weekly mindfulness sessions to group workouts and fitness perks, your physical and mental health are top priority.

🥗 Daily Fuel – Our office is stocked with an unlimited espresso and matcha bar, plus delicious lunch served five days a week. No sad desk lunches here.

🌿 Connection & Community – We value real relationships. From team lunches and office hangs to offsite retreats, we create space to connect and collaborate.

🚀 High-Impact Work – Be part of shaping the future of digital healthcare during an exciting period of growth and innovation.

💸 Competitive Compensation – We offer a top-of-market salary and a generous equity package—because you deserve to share in the upside you help create.

👩‍💻 World-Class Team – Join a team of thoughtful, driven professionals across engineering, product, clinical, operations, and beyond—each bringing excellence and empathy to the table.

💣 Profitable & Explosive Growth – Our growth is like trying to drink from a firehose while riding a rocket, as we commit to decisions that ensure long-term success, stability, and the well-being of our team and customers—all without the constraints of VC funding.

📍 Prime Location – Our vibrant downtown San Francisco HQ is just steps from public transit, great coffee shops, and everything the city has to offer.

The base salary for this full-time position ranges from $150,000 to $200,000, in addition to equity and benefits. The salary range listed in each job posting represents the minimum and maximum targets for new hire salaries across all locations. Actual compensation within this range is determined by various factors, such as job-related skills, experience, relevant education or training, and location.

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