Senior Data Scientist

Sentry • San Francisco, CA

44d • $165,000 - $225,000 • Hybrid

About The Position

Bad software is everywhere, and we’re tired of it. Sentry is on a mission to help developers write better software faster so we can get back to enjoying technology.
With more than $217 million in funding and 100,000+ organizations that believe we’re on to something, we're building performance and error monitoring tools that help companies like Disney, Microsoft, and Atlassian spend less time fixing bugs and more time building products.
Sentry embraces a hybrid work model across our global hubs, with Mondays, Tuesdays, and Thursdays set as in-office anchor days to encourage meaningful collaboration. If you like to selfishly build things that make your digital life better, come help us build the next generation of software monitoring tools.
The Data Science team sits within Data & Analytics, part of Sentry’s Business Operations organization. We help the company make smarter decisions by building models and analytical systems that turn data into actionable insight. Our focus is on delivering high-impact, production-ready data science work that supports teams across Product, GTM, and Finance.
As a Senior Data Scientist, you’ll play a foundational role in shaping how data science operates at Sentry. You’ll take ownership of complex, ambiguous problem spaces, develop models that drive meaningful business outcomes, and help establish the standards and practices that allow data science to scale. You’ll partner closely with cross-functional teams to ensure data science work is trusted, adopted, and impactful across the organization.
If you enjoy solving hard problems, working independently, and using data science to influence real decisions, we’d love to hear from you.

Requirements

• 8+ years of experience in data science, applied machine learning, or advanced analytics roles
• Proven track record of shipping models that were used in real business or product workflows
• Strong ability to translate business problems into modeling approaches and actionable outputs
• Experience working with production data systems and collaborating with data engineering or platform teams
• Proficiency in Python for data science and strong SQL skills
• Experience designing experiments or measuring the impact of product or business initiatives

Responsibilities

• Help define a repeatable DS operating model, including roadmapping, stakeholder engagement, and delivery standards
• Develop and deploy models that influence product and business decisions (e.g., adoption, customer intelligence, lead scoring, impact measurement)
• Partner with GTM, Product, and Finance to embed models into real workflows, not just dashboards
• Provide technical leadership and raise the bar for data science at Sentry
• Work with Data Engineering to ensure reliable production deployment
• Strengthen the foundations that make experimentation and learning faster over time

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed