The opportunity
You'll be the senior technical anchor for our data science function , shaping how we do data science at Alpha, driving cross-functional data strategy, and helping the team do its best work. You’ll set direction for our experimentation practice and bring analytical clarity to the…
What you'll do
You'll be the senior technical anchor for our data science function , shaping: how we do data science at Alpha, driving cross-functional data strategy, and helping the team do its best work. You’ll set direction for our experimentation practice and bring analytical clarity to the biggest strategic bets we’re making, across all product areas.
You’ll own data strategy across the company. You’ll set direction for our: experimentation practice and bring analytical clarity to the biggest strategic bets we’re making, across all product areas. We're a small team (1 data scientist + a part-time data engineer) at a company with millions of users. Your work will be high-leverage and visible.
You’ll provide mentorship and thought partnership to our senior data: scientists, and operate with the autonomy that comes with setting direction, not just executing within it.
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.
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.
What they're looking for
- 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.
