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Senior Marketing Decision Scientist
Location
California + 18 moreAll locations: California | Colorado | Connecticut | District Of Columbia | Hawaii | Illinois | Maine | New Hampshire | New Jersey | New York | Oregon | Maryland | Massachusetts | Pennsylvania | Rhode Island | Texas | Vermont | Virginia | Washington
Posted
20 days ago
Salary
$167K - $212K / year
Seniority
Senior
Job Description
Senior Marketing Decision Scientist
Instacart
• Own the end-to-end marketing measurement strategy across paid search, paid social, display, affiliates, CTV, and lifecycle/CRM, unifying MMM, MTA, and incrementality testing to guide channel and portfolio-level investment. • Design, launch, and analyze experiments (e.g., geo tests, PSA tests, holdouts) and causal inference studies that quantify lift, inform targeting, and establish best practices for decision-making under uncertainty. • Build and productionize predictive models (e.g., LTV, churn/propensity, audience response, budget allocation) using SQL and Python or R, partnering with data engineering to automate pipelines and ensure data quality. • Create executive-ready dashboards and narratives in tools like Looker or Mode that track KPIs, explain performance drivers, and translate insights into clear, prioritized recommendations. • Partner with Strategic Finance and Marketing leadership on forecasting, scenario planning, and quarterly planning processes; influence roadmaps and present findings to VP+ stakeholders. • Prioritize ruthlessly in a dynamic environment, managing multiple concurrent projects and elevating the team’s analytical bar through peer reviews, documentation, and mentorship.
Job Requirements
- 6+ years of experience in marketing analytics or data science within technology, e-commerce, marketplace, or consumer subscription businesses.
- Advanced proficiency in SQL and in either Python or R for data manipulation, statistical analysis, and modeling.
- Hands-on experience designing and analyzing marketing experiments (e.g., A/B tests, geo experiments, holdouts) and applying causal inference techniques to estimate incrementality.
- Proven track record implementing at least one marketing measurement approach (e.g., MMM, MTA, or structured incrementality testing) to inform budget allocation for multi-million-dollar programs.
- Experience building business-facing dashboards and self-serve tools in Looker, Tableau, or Mode.
- Experience working with modern data warehouses (e.g., Snowflake, BigQuery, or Redshift) and version control (Git).
- Demonstrated ability to translate ambiguous business questions into analytical roadmaps and to communicate clear, actionable recommendations to non-technical and executive audiences.
- Bachelor’s degree in a quantitative field (e.g., Statistics, Economics, Computer Science, Mathematics, Engineering) or equivalent practical experience.
Benefits
- Flex First team
- Remote work options
- Equity grants
- Annual refresh grants
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