Senior Data Scientist

Senior Data Scientist ABOUT SENTRY 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. ABOUT THE ROLE 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. IN THIS ROLE YOU WILL - 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 YOU’LL LOVE THIS JOB IF YOU - You want to be an early, high-impact member of a growing data science function - You enjoy owning problems end-to-end, from vague question to production solution - You like working independently and creating structure where none exists - You care about real-world impact, not just model metrics - You thrive in fast-moving environments with evolving priorities QUALIFICATIONS - 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 The base salary range (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is $165,000 to $225,000. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Be ... (truncated, view full listing at source)