Sr. Marketing Data Scientist

Job Description

About the Role As a Senior Marketing Data Scientist , you’ll be part of the Marketing Data Science & Analytics team , driving growth and engagement through AI-powered BI, advanced analytics, and machine learning.

You will play a key 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 to drive intelligent marketing strategies.
• 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

• M.S. or B.S. in Math, 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 experience with Python programming
• Deep knowledge of experimental design and causal inference
• Strong analytical and causal reasoning mindset
• 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 initiate and complete end-to-end projects
• Prior experience in growth marketing (CRM and/or paid media)
• Solid understanding of the advertising and martech landscape and trends
• Experience in finance, fintech, or technology industries
• 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 data science techniques such as Bayesian statistics, Bandit models, and Net Lift modeling

What We Offer

• Competitive salary and performance bonus
• 401(k) with employer match
• Exceptional health insurance with minimal out-of-pocket costs
• Fitness subsidy
• Free in-office lunches and snacks (if applicable)
• Autonomous, flexible work environment
• Customer-driven culture
• Opportunity to build products that make a real difference in people’s lives