Role overview
**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