Engineering Manager, Data Science

Company: Chess.com Employment type: FULL_TIME

You are an experienced data science leader who translates strategy into objectives, grows the people around you, and works as a strategic thought partner to senior leadership. You are also a strong individual contributor who doesn't just manage the work but does it. You don't need glamorous problems to do great work — you find satisfaction in getting things right, shipping something that matters, and making the people around you better at their craft. You've worked in applied data science long enough to know when to push for a more rigorous model and when to ship the first version and iterate. You can walk stakeholders through your findings and turn around and give a member of the team support and feedback that helps them grow. You bring relevant data, graphs, and other evidence to group discussions and can continue to evolve your perspective as new evidence comes in. You think creatively about problems that don't have established solutions. You’re comfortable building from scratch, inventing new approaches, testing them quickly, and iterating to bring out the right idea. You understand that chess is a deeply data-rich domain, and ideally, you love the game. Familiarity with how chess players develop and improve, how rating systems work, the challenge of catching cheaters, and what makes a chess feature feel right, is knowledge that will compound quickly in this role.

What you'll do

• Own high-impact data science work across product data science and fair play. Create and build novel algorithms, models, and data-powered features that directly shape the chess experience for our users, from systems that protect the integrity of the game to features that make Chess.com more engaging and useful for players at every level.
• Partner across the company on product vision and execution. Work closely with product managers, engineers, designers, and writers to translate new stats and algorithms into decisions that power our next generation of features.