Instacart

Senior Marketing Decision Scientist II

9.0/10
Instacart
$63,750 – $102,000 USD43.1% below market
Remote
senior
about 4 hours ago
AI SummaryVerified by Aipplify AI

The vacancy is well-structured with clear responsibilities and requirements, though some details could be improved.

AI quality score8.6 / 10

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Overview

Join Instacart as a Senior Marketing Decision Scientist II to drive data-driven growth through marketing performance measurement and optimization. Collaborate with cross-functional teams to influence multi-million-dollar decisions. Instacart’s Marketing Data Science and Analytics team partners across Marketing, Strategic Finance, and Product to power data-driven growth. As a Senior Marketing Decision Scientist II, you will shape how we measure, forecast, and optimize marketing performance across channels, helping Instacart make smarter investment decisions and accelerate customer acquisition and retention.

What you'll do

  • Own the end-to-end marketing measurement strategy across paid search, paid social, display, affiliates, CTV, and lifecycle/CRM.
  • Design, launch, and analyze experiments (e.g., geo tests, PSA tests, holdouts) and causal inference studies.
  • Build and productionize predictive models (e.g., LTV, churn/propensity, audience response, budget allocation).
  • Create executive-ready dashboards and narratives in tools like Looker or Mode.
  • Partner with Strategic Finance and Marketing leadership on forecasting and planning processes.
  • Prioritize ruthlessly in a dynamic environment, managing multiple concurrent projects.

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).
  • Proven track record implementing at least one marketing measurement approach (e.g., MMM, MTA).
  • 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).
  • 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.
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