This role pays more than
68%
of similar roles. Most pay
$158,862–$221,250
— the shaded band above.
At the midpoint, this role pays about
$206k
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, you will join the Marketing Data Science and Analytics team to drive data-driven growth by measuring, forecasting, and optimizing marketing performance across various channels. You will own end-to-end measurement strategies for paid search, social, display, affiliates, CTV, and lifecycle programs while building predictive models for LTV, churn, and budget allocation. Your daily work involves designing experiments like geo tests and holdouts to quantify lift, as well as creating executive-ready dashboards to translate complex data into actionable recommendations. You will utilize SQL, Python or R, and tools such as Looker, Mode, Snowflake, and Git to solve problems related to customer acquisition and retention. This role addresses the challenge of making informed investment decisions in a multi-million-dollar marketing environment by unifying MMM, MTA, and incrementality testing to guide portfolio-level spending.
Own the end-to-end marketing measurement strategy across multiple channels to guide portfolio-level investment.
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.
Translate ambiguous business questions into clear analytical roadmaps for non-technical and executive audiences.
Mentor peers and elevate the team's analytical standards through code reviews and documentation.
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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