Marketing Data Scientist

<h3>About the Role:</h3> <p>The Marketing Data Scientist is a rigorous, intellectually curious problem solver embedded directly within the Marketing function for the GTM team. They own the science behind how we understand, attract, and grow our customers — building the models, measurement frameworks, and experiments that turn complex marketing data into decisions that move the business forward. They do not just report on what happened — they design the studies that tell us why and build the models that tell us what comes next.</p> <h3>What You'll Do:</h3> <ul> <li>Frame ambiguous marketing problems as well-scoped modeling and measurement challenges and own them end to end.</li> <li>Develop and own attribution models that accurately allocate marketing investment across channels and touchpoints.</li> <li>Build propensity, lead scoring, and churn models to prioritize where GTM teams should focus.</li> <li>Model the relationship between product engagement signals and downstream commercial outcomes — expansion, retention, and conversion.</li> <li>Design, execute, and interpret experiments (A/B, MVT, geo-based) with appropriate power analysis and statistical validity.</li> <li>Build and apply segmentation models and cohort analyses to uncover behavioral patterns, lifecycle trends, and funnel opportunities.</li> <li>Analyze organic search and AEO signals as modeling inputs to inform content strategy and improve discoverability.</li> <li>Partner with analytics engineers to productionize models and move insights from notebook to pipeline.</li> <li>Use AI tools to move faster, explore unfamiliar methods, and surface modeling options — while developing the judgment to know when AI-generated outputs are wrong or incomplete.</li> </ul> <h3>What You'll Bring:</h3> <ul> <li>Bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, Economics, or a related quantitative field; Master's or PhD is a bonus.</li> <li>4 to 6 years applying data science in a product, growth, or marketing context at a high-growth company.</li> <li>Strong command of Python (pandas, scikit-learn, statsmodels, or similar) and analytical SQL.</li> <li>Demonstrated experience building predictive models that influenced real business decisions.</li> <li>Hands-on experience with marketing measurement — attribution, media mix modeling, incrementality testing, or similar.</li> <li>Solid statistical foundation — forecasting, regression, classification, causal inference, and experiment design.</li> <li>Experience with GA4, Google Ads, and digital marketing measurement platforms.</li> <li>Strong understanding of reverse ETL processes and operationalizing model outputs.</li> <li>Strong storytelling skills — able to translate statistical complexity into clear, actionable business language for both technical and non-technical audiences.</li> </ul> <h3>Bonus/Nice to Have:</h3> <ul> <li>Experience with MLOps practices and moving models from experimentation to production.</li> <li>Comfort working across the full stack — dbt, Hex, Snowflake, Looker, Mode, Segment, and similar tools.</li> <li>Familiarity with SaaS, developer tools, or B2B product-led growth metrics.</li> <li>Hands-on experience with AI tools like Claude, Cursor, or similar LLM-powered assistants to accelerate analytical workflows.</li> </ul><div class="content-pay-transparency"><div class="pay-input"><div class="title">United States Base Pay Range</div><div class="pay-range"><span>$145,000</span><span class="divider">&mdash;</span><span>$196,000 USD</span></div></div></div><div class="content-conclusion"><p></p> <p>We will ensure that individuals with disabilities are provided reasonable&nbsp;accommodation to participate in the job application or interview process, to perform&nbsp;essential job functions, and to receive other benefits and privileges of employment.&nbsp;Please contact us to request accommodation.</p> <p><strong>About CircleCI</strong></p> <p>CircleCI is the world’s largest continuous integration/continuous delivery (CI/CD)&nbsp;platform, and the hub where code moves from idea to delivery. As one of the most-used&nbsp;DevOps tools - processing more than 3 million jobs a day - CircleCI has unique access to&nbsp;data on how the most effective engineering teams work, and the tools to help software&nbsp;companies successfully leverage the power of AI into their commercial applications.&nbsp;Companies like Hinge, HuggingFace, and Samsung use us to improve engineering team&nbsp;productivity, release better products, and get to market faster.</p> <p><br>Founded in 2011 and headquartered in downtown San Francisco with a global, remote&nbsp;workforce, CircleCI is venture-backed by Base10, Greenspring Associates, Eleven Prime,&nbsp;IVP, Sapphire Ventures, Top Tier Capital Partners, Baseline Ventures, Threshold<br>Ventures, Scale Venture Partners, Owl Rock Capital, Next Equity Partners, Heavybit, and&nbsp;Harrison Metal Capital.&nbsp;</p> <p>CircleCI is an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sexual orientation, gender,&nbsp;gender identity, gender expression, transgender status, sexual stereotypes, age, status&nbsp;as a protected veteran, status as an individual with a disability, or other applicable&nbsp;legally protected characteristics. We also consider qualified applicants with criminal&nbsp;histories, consistent with applicable federal, state and local law.</p></div>