Senior Marketing Decision Scientist II

Minimum Qualifications

• 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.

Preferred Qualifications

• 8+ years of relevant experience; advanced degree (MS/PhD) in a quantitative discipline.
• Experience building, validating, and operationalizing Marketing Mix Models (preferably Bayesian approaches using PyMC, Stan, or similar) and triangulating MMM with experiment results.
• Familiarity with privacy-conscious measurement (e.g., conversion modeling, SKAN, clean rooms such as Amazon Marketing Cloud or Ads Data Hub) and ad platform APIs.
• Experience with analytics engineering and pipeline tooling (e.g., dbt, Airflow) and strong data QA practices.
• Background in lifecycle/CRM analytics (e.g., uplift modeling, audience selection, message experimentation) and LTV forecasting.
• Exposure to experimentation platforms and feature flagging (e.g., Optimizely or internal frameworks) and to ML applications for bidding, pacing, and creative optimization.
• Experience mentoring peers and elevating analytical standards through code reviews, reproducible research, and documentation.

#LI-Remote

Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here.

Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here.…