Method Recruiting, a 3x Inc. 5000 company
Sr. Marketing Data Scientist
Method Recruiting, a 3x Inc. 5000 company, San Francisco, California, United States
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
#J-18808-Ljbffr
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
#J-18808-Ljbffr