Semgrep
Senior Data Scientist
Remote Engineering Org role with clear candidate location fit.
PostedJun 15, 2026
Eligible countries1 accepted country
Seniority signalSenior
Work settingRemote
Accepted candidate locations
USA
Role overview
Senior Data Scientist
Requirements and responsibilities
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What you'll do
- Contribute to specific data science projects and initiatives at Semgrep; discovering each department’s most pressing data problems, and proactively identifying the most critical areas to focus your efforts
- Bring your wide knowledge of data-science approaches to each problem you solve: the first day you might build a dashboard to track Board level metrics for the Engineering team, the second you might apply multivariate regression to identify important product features, the third you might apply active-learning techniques to guide data collection and labeling
- Iteratively tackle problems as a series of experiments, proving the value of your work with proof-of-concept to ever more refined results
- Convince your peers of your conclusions with clear data visualizations and well-reasoned explanation
- Help grow your team through the recruitment and hiring of top data talent
You are ideal for this role if you have
- 4+ years of experience in data and strategy fields
- Knowledge of data-science approaches; this may include machine-learning algorithms, optimization methods or symbolic artificial-intelligence, but should also include statistical methods and “good-enough” heuristics — and the taste to know when to use each
- Experience clearly visualizing information and experimental results across the full company stack: Board-level, leadership team, and individual team leads
- Sufficient familiarity with production data-processing pipelines to construct them working together with generalist infrastructure engineers; tools we use include S3, FiveTran, DBT, Snowflake, Metabase, Retool, Sagemaker/JupyterNotebook (Python)
- Aptitude delivering technical projects via rapid iterative development
- Experience working on a small team in a fast-paced environment and are willing to experiment with different approaches before settling on the best and most elegant solution given time constraints
- Excellent, proactive communication, both verbal and written
Some example projects that you might work on include
- Build a client-facing dashboard showing scan time metrics over time to show how the product is improving
- Work together with Product leadership to identify the correct north-star metrics to measure Product usage and what features to build next
- Partner with the rule-writing team to identify the most impactful rules and languages to focus on in real-time
- Build out cleaned/medallion Silver and Gold tables in our Data Lakehouse for internal engineering and product teams to self-serve their analytics needs
- Build an S3 → Snowflake data pipeline and processing engine to improve Repo contributor count metrics for Billing team
- Build a statistical model that analyzes pseudonymous usage data to recommend the next features built into the Semgrep open-source tool
- Consume infrastructure observation metrics to identify and address potential Semgrep.dev registry outages before they occur
- Recruit varied and disjoint data into a “North Star” metric for the performance of the Semgrep open-source tool over time
- Craft a security-rule-recommendation decision tree, using codebase features like languages, frameworks, code sentiment, and commit-message sentiment, to deliver targeted, high-value static-analysis rules to users
Some example projects that you might work on include
- Our expectation is that this role will be hybrid - requiring 3 days a week in our San Francisco office.
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