About
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 road‑mapping, 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 that Sentry reasonably expects to pay for this position is $165,000 to $225,000. A successful candidate’s actual base salary will be determined by factors such as location, experience, and job‑related knowledge. The candidate will be eligible to participate in Sentry’s employee benefit plans and programs, including incentive compensation, equity grants, paid time off, and group health insurance coverage. See Sentry Benefits for more details about the Company’s benefit plans and programs.
Equal Opportunity at Sentry Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to perform the essential functions of their jobs or seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open‑source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible.
If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io.
Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy.
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Languages
- English
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