Instacart

1 month ago

Senior Marketing Decision Scientist II

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Senior Marketing Decision Scientist II will shape how we measure, forecast, and optimize marketing performance across channels, delivering models, experiments, and dashboards to inform multi-million-dollar investment decisions and accelerate customer acquisition and retention. You will own end-to-end marketing measurement, collaborate with Marketing, Strategic Finance, and Data Engineering, and raise the analytical bar within a small, high-impact team.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Marketing & Growth

Seniority: Sr. Manager level

Key Responsibilities

•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 and inform targeting.
•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.
•Create executive-ready dashboards and narratives in tools like Looker or Mode that track KPIs, explain performance drivers, and translate insights into clear, prioritized recommendations.
•Partner with Strategic Finance and Marketing leadership on forecasting, scenario planning, and quarterly planning processes; influence roadmaps and present findings to VP+ stakeholders.

Pay and Benefits

Equity and Bonus:Equity

Perks:EquityRemote Work

Key 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.
•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 with modern data warehouses (Snowflake, BigQuery, Redshift) and Git.

Experience:6+ yearsTechnologyE-commerceMarketplaceConsumer subscription

Education:Bachelor's

Skills:CommunicationLeadershipProblem-solvingInfluenceCollaboration

Languages:English

Tech Stack:SQLPythonRLookerModeSnowflakeBigQueryRedshiftGitDbtAirflow

Company Brief

Instacart

Operates an online grocery marketplace connecting customers with personal shoppers and local retailers for grocery delivery and pickup. Provides technology, logistics, and advertising solutions to supermarkets and consumer packaged goods brands.

Industry: Online Marketplaces

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 2012

Glassdoor: 3.6

Website LinkedIn

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Instacart

1 month ago

Senior Marketing Decision Scientist II

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Marketing & Growth

Seniority: Sr. Manager level

Key Responsibilities

•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 and inform targeting.
•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.
•Create executive-ready dashboards and narratives in tools like Looker or Mode that track KPIs, explain performance drivers, and translate insights into clear, prioritized recommendations.
•Partner with Strategic Finance and Marketing leadership on forecasting, scenario planning, and quarterly planning processes; influence roadmaps and present findings to VP+ stakeholders.

Pay and Benefits

Equity and Bonus:Equity

Perks:EquityRemote Work

Key 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.
•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 with modern data warehouses (Snowflake, BigQuery, Redshift) and Git.

Experience:6+ yearsTechnologyE-commerceMarketplaceConsumer subscription

Education:Bachelor's

Skills:CommunicationLeadershipProblem-solvingInfluenceCollaboration

Languages:English

Tech Stack:SQLPythonRLookerModeSnowflakeBigQueryRedshiftGitDbtAirflow

Company Brief

Instacart

Industry: Online Marketplaces

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 2012

Glassdoor: 3.6

Website LinkedIn