Marketing Data Scientist

Senior Marketing Data Scientist

As a Senior Marketing Data Scientist , you’ll be part of a Marketing Data Science & Analytics team focused on driving growth and engagement through AI-powered business intelligence, advanced analytics, and machine learning.

You will play a critical role in enabling data-driven marketing strategies across acquisition, onboarding, engagement, and renewal.

What You’ll Do

• Identify, prioritize, and execute opportunities to scale marketing efforts across acquisition, engagement, and retention.
• Evaluate the incremental impact of marketing investments through experimentation (A/B testing, causal inference) at both macro and granular levels (channel, tactic, creative, etc.).
• Build, operationalize, and iterate on data science solutions such as Marketing Mix Models, audience scoring, and customer segmentation.
• Provide closed-loop data science support for audience-centric marketing, including audience sizing, experiment design, segmentation, and targeting model development.
• Support pricing, promotions, and other key business decisions through experimentation and ad hoc analysis.

Minimum Qualifications

• B.S. or M.S. in Mathematics, Economics, Statistics, Engineering, Computer Science, or a related quantitative field.
• 6+ years of industry experience as a Data Scientist (or equivalent).
• Advanced SQL expertise.
• Expert-level Python programming experience.
• Deep knowledge of experimental design and causal inference.
• Strong analytical and causal reasoning skills.
• Expertise in predictive modeling and statistical/machine learning techniques.
• Experience applying predictive modeling to marketing use cases (e.g., CLTV, churn prevention, targeting).
• Fluency with Python ML libraries (e.g., scikit-learn, PyTorch).
• Proficiency with data visualization and dashboard tools (e.g., Looker, Tableau).

Preferred Qualifications

• Bias for action and a first-principles, systems-thinking approach.
• Proven ability to independently own and deliver end-to-end projects.
• Prior experience in growth marketing (CRM and/or paid media).
• Strong understanding of the advertising and martech ecosystem.
• Experience in finance or fintech environments.
• Background in marketing or product data science or consulting.
• Hands-on experience with Databricks.
• Experience applying econometric modeling (e.g., MMM) to optimize spend and maximize ROAS.
• Knowledge of advanced techniques such as Bayesian statistics, bandit models, and net lift modeling.

What’s Offered

• Competitive compensation and performance-based bonus.
• 401(k) with employer match.
• Comprehensive health benefits with low out-of-pocket costs.
• Wellness or fitness stipend.
• Flexible, autonomous work environment.
• Customer-first culture.
• The opportunity to build products that meaningfully improve people’s lives.

Seniority Level

• Mid-Senior level

Employment Type

• Full-time

Job Function

• Marketing