Data Scientist, Performance and Reliability

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

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401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Data Scientist, Performance and Reliability San Francisco, CA, United States, New York Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code. About the role Cursor is building the best way to develop software with AI. As an early member of our data science team, you'll help define the way the company uses data to make decisions and deliver a high quality experience to millions of users across billions of user<>AI interactions. What you'll do - Design and operationalize metrics that measure the stability of product surfaces and the agent harness - Build a measurement and rollout framework to prevent, detect, and root cause performance regressions - Partner with engineers on data tooling that enables self-serve analysis - Identify performance and reliability experiences that disproportionately cause user frustration You may be a fit if - You have 5+ years of experience as a data scientist at a high growth company - You've operationalized a north star performance metric across a pillar - You have experience building and operationalizing data tooling for non-data users - You enjoy working directly with engineering on measurement and strategy - You're experienced in experimentation and causal inference - You're happy to work across

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