clubhouse - 📈 Data Scientist (Staff)
Requirements
• You're technically deep. You have 7+ years of experience as a data scientist. You're highly fluent in SQL and Python — not just for analysis, but for influencing engineering decisions, defining data infrastructure standards, and being a credible technical voice in system design conversations. You're comfortable operating across an end-to-end data pipeline: you can triage pipeline issues, spec data engineering work, and lead a data engineer through complex problems when needed. You've designed and analyzed experiments, know the difference between a well-run test and a noisy one, and have deep expertise in predictive modeling and ML techniques. • You think like a product partner, not a service org. You don't wait for requests – you proactively identify what questions matter, size opportunities, and help product managers figure out where to place bets. You have a healthy skepticism about data and know when something doesn't add up and dive deeper towards the right solution. • You communicate with clarity. You can take a messy analysis and turn it into a clear recommendation. You write well. You build dashboards and visualizations that people actually use to make decisions. • You thrive with autonomy. You will set the agenda for what the team works on and helps shape which bets the company makes. You thrive in turning ambiguity into a roadmap. • You ship. You have a bias toward getting things done. You'd rather have a good-enough answer today than a perfect one in two weeks. • You are a team player. You have a low-ego, put the team’s success first, and believe that fostering a collaborative and diverse environment is not only integral to the team's well-being but also crucial for driving innovation and achieving long-term success.
Responsibilities
• Own our experimentation framework and standards across squads. Define how we design, run, and evaluate experiments, setting the bar for what a well-run test looks like, driving consistency across the org, and directly owning the highest-stakes analyses. • Drive strategic opportunity sizing across the company. You’ll proactively identify where we should place bets and make data proactive product partners. You’ll synthesize signals across product areas and help leadership prioritize before roadmaps are locked. • Own company-wide, top line metric strategy and drive the data changes needed to ensure high data coverage and accurate metric forecasting for our quarterly and yearly goals. • Lead our predictive modeling and ML work. You’ll own the models that proactively shape product direction and mentor data scientists in developing these skills. • You’ll grow, teach, and improve rapidly. At Clubhouse you’ll be working with an incredible team, who love to learn from and teach each other. You’ll find yourself stretching to new areas, immersed in feedback, and growing your skills on a daily basis. • You’ll create something meaningful. Social products allow people to connect in ways that were never before possible. When the telephone was invented, it suddenly allowed people to speak with others across the world. Thanks to FaceTime, grandparents everywhere can now watch their grandchildren grow up. At Clubhouse, you’ll be figuring out something entirely new for the world—a positive product that brings people’s voices together to help everyone have a life filled with great friendships.
Benefits
• What you can expect • What you can expect • This position is fully remote. As a member of our team, you can expect competitive base pay, comprehensive health benefits for you and your dependents, meaningful company equity, 401(k), company-sponsored trips, and over $10k in additional perks and stipends. • More importantly, we will invest deeply in your development and work every day to ensure it is the best professional experience of your life. • Compensation may vary based on the applicant’s level of experience, education, specialized knowledge, skills, and the market rate for similar positions. The salary range is subject to change and may be modified in the future. • Upload your resume here to autofill key application fields. • Drop your resume here! • Parsing your resume. Autofilling key fields... • or drag and drop here • Tell us more about your interest in this role.
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