This role pays less than
60%
of similar roles. Most pay
$157,837–$221,250
— the shaded band above.
At the midpoint, this role pays about
$173k
versus about
$190k
for comparable roles.
Based on 240 similar postings.
Employer
About Instacart
Instacart (Maplebear Inc.) is a North American grocery technology company that operates an online marketplace and delivery service connecting customers with personal shoppers who pick and deliver orders from local retailers. It also sells retail e-commerce software and advertising services to grocers and brands.
Instacart currently has
49 open roles
on FindRole.
Listed pay typically runs
$196,000–$207,000
across 49 roles with salary data.
As a Senior Marketing Decision Scientist II on the Marketing Data Science and Analytics team, you will drive data-driven growth by shaping how the company measures, forecasts, and optimizes marketing performance across various channels. You will own end-to-end measurement strategies for paid search, social, display, affiliates, CTV, and lifecycle programs while unifying MMM, MTA, and incrementality testing to guide multi-million-dollar investment decisions. Your daily work involves designing experiments like geo tests and holdouts, building predictive models for LTV and churn, and creating executive dashboards. You will utilize SQL, Python or R, Looker, Mode, Snowflake, BigQuery, Redshift, and Git to translate complex data into actionable recommendations. This role solves the challenge of making informed marketing investments in a fast-paced environment by providing clear analysis on customer acquisition and retention across the grocery and household goods space.
Own end-to-end marketing measurement strategies across paid search, social, display, affiliates, CTV, and CRM channels.
Design and analyze experiments and causal inference studies to quantify lift and inform targeting decisions.
Build and productionize predictive models for LTV, churn, and budget allocation using SQL and Python or R.
Create executive-ready dashboards in Looker or Mode to translate complex data into actionable recommendations.
Partner with Finance and Marketing leadership on forecasting, scenario planning, and quarterly roadmap influence.
Manage multiple concurrent projects while mentoring peers and improving the team's analytical standards through code reviews.
What we're looking for
Bachelor's degree in a quantitative field or equivalent practical experience.
6+ years of experience in marketing analytics or data science within technology, e-commerce, marketplace, or consumer subscription businesses.
Advanced proficiency in SQL and either Python or R for data manipulation, statistical analysis, and modeling.
Experience designing and analyzing marketing experiments and applying causal inference techniques to estimate incrementality.
Proven track record implementing marketing measurement approaches like MMM, MTA, or structured incrementality testing for multi-million-dollar programs.
Experience building business-facing dashboards in tools such as Looker, Tableau, or Mode.
Experience working with modern data warehouses (Snowflake, BigQuery, or Redshift) and version control (Git).
Ability to translate ambiguous business questions into analytical roadmaps and communicate recommendations to executive audiences.
SQL
Python
R
Experimental Design
Causal Analytics
Multivariate Linear Regression
Random Forest
meta analysis
Data Science
Econometrics
Cursor
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