Method Recruiting
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http://www.methodrecruiting.com
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USD
160000
YEAR
true
Sr. Marketing Data Scientist
Bay Area, CA US
Posted: 11/10/2025
2025-11-10
2026-01-09
Job Number: 1761
Pay Rate: 160,000
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
Minimum Qualifications
Preferred Qualifications
What We Offer
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
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Identify, prioritize, and execute opportunities to scale marketing efforts across acquisition, engagement, and retention.
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Evaluate the incremental impact of marketing investments through experimentation (A/B testing, causal inference) at both macro and granular levels (channel, tactic, creative, etc.).
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Build, operationalize, and iterate on data science solutions such as Marketing Mix Models, Audience Scoring, and Customer Segmentation to drive intelligent marketing strategies.
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Provide closed-loop data science support for audience-centric marketing, including audience sizing, experiment design, segmentation, and targeting model development.
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Support pricing, promotions, and other key business decisions through experimentation and ad hoc analysis.
Minimum Qualifications
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M.S. or B.S. in Math, Economics, Statistics, Engineering, Computer Science, or a related quantitative field
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6+ years of industry experience as a Data Scientist (or equivalent)
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Advanced SQL expertise
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Expert-level experience with Python programming
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Deep knowledge of experimental design and causal inference
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Strong analytical and causal reasoning mindset
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Expertise in predictive modeling and statistical/machine learning techniques
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Experience applying predictive modeling to marketing use cases (e.g., CLTV, churn prevention, targeting)
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Fluency with Python ML libraries (e.g., Scikit-learn, PyTorch)
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Proficiency with data visualization and dashboard tools (e.g., Looker, Tableau)
Preferred Qualifications
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Bias for action and a first-principles, systems-thinking approach
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Proven ability to independently initiate and complete end-to-end projects
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Prior experience in growth marketing (CRM and/or paid media)
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Solid understanding of the advertising and martech landscape and trends
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Experience in finance, fintech, or technology industries
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Background in marketing or product data science or consulting
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Hands-on experience with Databricks
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Experience applying econometric modeling (e.g., MMM) to optimize spend and maximize ROAS
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Knowledge of advanced data science techniques such as Bayesian statistics, Bandit models, and Net Lift modeling
What We Offer
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Competitive salary and performance bonus
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401(k) with employer match
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Exceptional health insurance with minimal out-of-pocket costs
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Fitness subsidy
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Free in-office lunches and snacks (if applicable)
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Autonomous, flexible work environment
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Customer-driven culture
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Opportunity to build products that make a real difference in people’s lives
