Senior Data Scientist, Marketing

Root Inc.

full-time

Posted on: 8/28/2025

Location: 🇺🇸 United States

✨ AI Apply

💰 $126,000 - $157,500 per year

Senior

AWSEC2PythonSQL

About the role

Work on Quantitative Science team owning marketing capital allocation and measurement
Build measurement and experimentation infrastructure for mid- and upper-funnel brand marketing
Develop causal frameworks, predictive models, and tools linking brand investment to outcomes like quote starts, binds, and lifetime value
Contribute to brand tracking and survey research and set measurement standards
Advise stakeholders on interpreting results and allocating spend
Prototype and test brand strategies, run structured experiments, and optimize targeting, creative, and channel mix
Build data science pipelines and take end-to-end ownership of new channels and marketing approaches

Advanced degree in a quantitative discipline (PhD preferred) and 4+ years of applying advanced quantitative techniques to problems in industry
Quantitative brand marketing experience measuring brand impact in mid- and upper-funnel channels using causal inference methods (e.g., synthetic control, Bayesian models, geo-testing)
Skilled in designing and analyzing brand lift studies and survey-based measurement
Developed data-driven brand strategies and deployed them through DSPs like The Trade Desk, DV360, or Meta
Built and applied ML models to improve targeting for brand-focused campaigns across social, video, and display
Designed and implemented experiments to quantify the incremental effect of brand exposure on downstream metrics
Advanced programming skills in Python or R; expertise in databases and SQL; familiarity with version control (e.g. Git)
Experience with AWS utilities (e.g., EC2, SageMaker, S3, Athena)
Strong business intelligence and visualization skills
Ownership mentality and ability to define problems from first principles
Preferred: experience with web analytics, customer journeys, identity graphs, or insurance industry experience