← Back to all jobs
Grammarly logo

Lead Data Scientist, Risk

Grammarly

🌎 Remote — US (PST)Full-timeData Science$189K – $229K /yr
Apply with RemoteHire24Posted 1 month ago

You apply directly through RemoteHire24. We review your application and contact shortlisted candidates by phone, WhatsApp, or Telegram.

Job description

Grammarly is hiring a Lead Data Scientist, Risk to join our fully remote team in the United States. As a Lead Data Scientist, Risk, you'll turn data into insights and intelligent products. This is a full-time, work-from-home role open to candidates across the US (Remote — US (PST)). About the role You'll turn data into insights and intelligent products, partnering with a friendly, distributed team across US time zones. We care about outcomes over hours and give you the autonomy, tools, and support to do your best work from home. What you'll do: • Analyze large datasets to surface actionable insights • Build and validate models and dashboards • Communicate findings to technical and non-technical audiences • Maintain data pipelines and data quality • Partner with stakeholders to define metrics What we offer: • Annual learning and professional development budget • 100% remote, work-from-anywhere-in-the-US culture • Flexible working hours across US time zones • Home office and wellness stipends • 401(k) retirement plan with company match How we work We're remote-first and async-friendly. Expect clear documentation, regular feedback, supportive teammates, and real opportunities to grow your career. Grammarly is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for everyone.

Requirements

Minimum qualifications: • 7+ years of experience, including leading teams or projects • Clear communication skills • Experience with data visualization tools • Familiarity with cloud data warehouses • Strong SQL and Python (or R) Nice to have: • Comfort communicating clearly and proactively in writing • Experience working in a fully remote or distributed team