Data Scientist - Growth

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

About The Role

We’re a telehealth company helping people lose weight at scale. Growth is critical to our mission. We’re looking for a Data Scientist who thrives at the intersection of marketing and analytics. You’ll work cross-functionally with performance marketers, influencer managers, and leadership to optimize spend, measure impact, and identify what really drives growth. This role blends statistical rigor with business intuition—and is ideal for someone who wants impact, autonomy, and a front-row seat to decision-making.

What You’ll Do

• Own the lifecycle of growth analytics—from data modeling to insight generation to stakeholder actionBuild robust attribution models (including MMM, MTA, or hybrid) to understand true channel ROI
• Design experiments and A/B tests to optimize creatives, landing pages, onboarding flows, and incentive programs
• Automate growth reporting and marketing funnel analytics using Python and SQL
• Partner with the marketing team to inform targeting, bidding, and budget allocation strategies
• Segment audiences using clustering or lookalike modeling to improve CAC and LTV
• Build internal tools to streamline campaign analysis or budget planning

Who You Are

• Bachelor’s or Master’s in a quantitative field (e.g., Statistics, Engineering, Economics)
• 2+ years of experience working with growth, digital marketing, or product data
• Strong SQL and Python skills; write clean, maintainable queries
• Comfortable analyzing marketing channel performance (e.g., Meta, Google Ads, TikTok)
• 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 influence non-technical stakeholders
• 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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