Instacart

Instacart

Senior Marketing Decision Scientist II

United States - Remote · Senior

Sponsorship not specified$201k-$212kDetected 27 days ago
PythonCode ReviewGitSQLBigQuerySnowflakeRedshiftMachine LearningAirflowdbtData EngineeringData ScienceData VisualizationStatisticsA/B TestingSEMMarketing AnalyticsCRMForecastingRecruitingResearchLeadershipMentoring

About the role

  • If you thrive in a fast-paced environment that still moves like a startup-and you love rolling up your sleeves to turn ambiguous questions into clear recommendations-this role is for you.
  • Prioritize ruthlessly in a dynamic environment, managing multiple concurrent projects and elevating the team's analytical bar through peer reviews, documentation, and mentorship.

Responsibilities

  • This is a high-impact, high-visibility role on a small, focused team where you will own complex, zero-to-one measurement initiatives and scale proven solutions.
  • You'll join a tight-knit immediate team of 5 within a broader 9-person marketing data science org, where there is real scope to set the bar for analytical rigor, build systems that last, and influence the roadmap.
  • 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.
  • Partner with Strategic Finance and Marketing leadership on forecasting, scenario planning, and quarterly planning processes; influence roadmaps and present findings to VP+ stakeholders.

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.
  • 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 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.

Nice to have

  • 8+ years of relevant experience
  • advanced degree (MS/PhD) in a quantitative discipline.
  • 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.
  • Offers may vary based on many factors, such as candidate experience and skills required for the role.

Compensation

  • Instacart provides highly market-competitive compensation and benefits in each location where our employees work.

Company info

  • Come help us go far together by solving complex problems that grow the pie for our customers, retailers, and partners.
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