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 field6 years of industry experience as a Data Scientist (or equivalent)Advanced SQL expertiseExpert-level experience with Python programmingDeep knowledge of experimental design and causal inferenceStrong analytical and causal reasoning mindsetExpertise in predictive modeling and statistical / machine learning techniquesExperience 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 approachProven ability to independently initiate and complete end-to-end projectsPrior experience in growth marketing (CRM and / or paid media)Solid understanding of the advertising and martech landscape and trendsExperience in finance, fintech, or technology industriesBackground in marketing or product data science or consultingHands-on experience with DatabricksExperience applying econometric modeling (e.g., MMM) to optimize spend and maximize ROASKnowledge of advanced data science techniques such as Bayesian statistics, Bandit models, and Net Lift modelingWhat We Offer
Competitive salary and performance bonus401(k) with employer matchExceptional health insurance with minimal out-of-pocket costsFitness subsidyFree in-office lunches and snacks (if applicable)Autonomous, flexible work environmentCustomer-driven cultureOpportunity to build products that make a real difference in people’s lives#J-18808-Ljbffr