Marketing Data Scientist

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

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Verification

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Salary

$145K-$196K From the posting source checked Jun 20, 2026

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

52% above the BLS role benchmark for data and ml aggregate.

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

Work mode

Remote From the posting source checked Jun 20, 2026

In-office days

0 days From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

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Company

Equity

Offered From the posting source checked Jun 20, 2026

Application

Cover letter

Not verified

Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Marketing Data Scientist Remote, US About the Role: 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. What You'll Do: - Frame ambiguous marketing problems as well-scoped modeling and measurement challenges and own them end to end. - Develop and own attribution models that accurately allocate marketing investment across channels and touchpoints. - Build propensity, lead scoring, and churn models to prioritize where GTM teams should focus. - Model the relationship between product engagement signals and downstream commercial outcomes - expansion, retention, and conversion. - Design, execute, and interpret experiments (A/B, MVT, geo-based) with appropriate power analysis and statistical validity. - Build and apply segmentation models and cohort analyses to uncover behavioral patterns, lifecycle trends, and funnel opportunities. - Analyze organic search and AEO signals as modeling inputs to inform content strategy and improve discoverability. - Partner with analytics engineers to productionize models and move insights from notebook to pipeline. - 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.

Read the full description at www.circleci.com. FewerJobs shows a preview and links to the original posting.