📈 Data Scientist (Senior)

📈 Data Scientist (Senior) ABOUT US Alpha is a product studio focused on the intersection of AI and consumer social – backed by a16z and many of the top investors in the world. Our goal is to create social products that we use, that our friends use, and that have the potential to reach billions of people. Clubhouse was our first app, and we’ve been quietly growing that while building our next set of products. We have years of runway, millions of users, and find ourselves at a very interesting time, where AI is making entirely new things possible with voice. If you are a talented builder who’s interested in joining us, we’d love to talk. THE ROLE - You'll be the primary Data Scientist embedded with our product squad focused on the Clubhouse app team driving host activation and growth. 2026 is a pivotal year: we're laser-focused on helping hosts succeed, and you'll be at the center of measuring whether that's working. - You'll own the data strategy for your squad to support our growth — identifying which questions matter most, designing experiments, and surfacing opportunities the team hasn't seen yet. Some weeks that's a rigorous A/B test in Eppo; other weeks it's an exploratory analysis that reshapes the roadmap. You'll work closely with our Staff Data Scientist for mentorship and thought partnership, but you'll operate with significant autonomy day-to-day. We're a small team (2 data scientists + a part-time analytics engineer) at a company with millions of users. Your work will be high-leverage and visible. - We are a remote friendly-company — with a strong commitment to ensuring people can do great work here and thrive without having to live near an office. This role is open to candidates across the U.S. WHO YOU ARE - You're technically deep. You have 4+ years of experience as a data scientist. You're highly fluent in SQL and Python – not just for analysis, but comfortable enough to read a production Django codebase, audit what's being logged, and spec (or make) small changes when needed. You've designed and analyzed experiments, and you know the difference between a well-run test and a noisy one, and you have exposure to predictive modeling or 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'll have mentorship available, but this role requires someone who can drive their own work. You're comfortable with ambiguity and see it as an opportunity, not a blocker. - 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. WHAT YOU WILL DO - Own experimentation for your squad. Design experiments, ensure proper targeting and logging, analyze results, and make clear recommendations. The team you’d be supporting is testing features that help new hosts get past the cold start – things like simplified room creation, feedback at the end of rooms, and discovery improvements. You'll be the person who tells us what's working. - Size opportunities and guide roadmap decisions. Before we build, we need to know if it's worth building. You'll help PMs estimate the potential impact of proposed features – using historical data, cohort analysis, and whatever creative method ... (truncated, view full listing at source)