Marketing Data Science

Marketing Data Scientist Jobs

Find roles building LTV models, churn prediction, propensity scoring, and customer segmentation for marketing teams.

Python Machine Learning SQL BigQuery Statistics Tableau Segment
18+
Open roles
$115K–$155K
Avg salary range
+25% (2023–2026)
Job growth

About this role

Marketing data scientists apply ML and statistical modeling to drive marketing efficiency. You'll build customer lifetime value (LTV) models, churn prediction systems, propensity-to-convert scores, and customer segmentation algorithms. Python (pandas, scikit-learn) and SQL are essential, and experience with cloud ML platforms (BigQuery ML, SageMaker) is increasingly required. The role sits between marketing analytics and core data science.

Career roadmap for Marketing Data Sciences → View salary data →

Must-Have Skills

Python Machine Learning SQL BigQuery Statistics Tableau Segment
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Open Positions

18 jobs

Related categories:

Attribution jobs → Analytics Engineering jobs → Product Analytics jobs → Remote jobs

More Job Categories

Attribution & Measurement

Understand which marketing channels drive revenue. Build multi-touch attribution models, run media mix modeling (MMM), and measure incrementality.

$95K–$130K

CRO & Experimentation

Design, run, and analyze A/B and multivariate tests. Improve conversion rates and user experience through rigorous experimentation programs.

$90K–$125K

Marketing Analyst

Analyze campaign performance, build dashboards, and surface insights that guide marketing strategy. The backbone of data-driven marketing teams.

$65K–$95K

Product Analytics

Measure product engagement, retention, and funnel performance. Partner with product teams to drive growth through behavioral data.

$90K–$125K

Business Intelligence

Build the data infrastructure that powers marketing reporting. Design semantic layers, create self-serve dashboards, and govern data quality.

$85K–$115K

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