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Senior Marketing Decision Scientist II

30 minutes ago
Canada
Full-time
Senior
Data Scientist
Data Science and Analytics
Apache Airflow dbt GCP Git Looker Machine Learning Mode Python R Snowflake SQL Tableau
Apply Now
instacart.careers

instacart.careers

Instacart is a leading grocery technology company in North America that works with grocers and retailers to transform how people shop. They partner with over 1,000 national, regional, and local retail banners to facilitate online shopping, delivery, an...

Internet Software & Services
1K-5K
View All Jobs 124

Description

  • Own the end-to-end marketing measurement strategy across paid search, paid social, display, affiliates, CTV, and lifecycle/CRM.
  • Unify MMM, MTA, and incrementality testing to guide channel-level and portfolio-level investment decisions.
  • Design, launch, and analyze experiments and causal inference studies to quantify lift and improve targeting.
  • Build and productionize predictive models for LTV, churn or propensity, audience response, and budget allocation.
  • Partner with data engineering to automate pipelines and maintain data quality.
  • Create executive-ready dashboards and narratives that track KPIs, explain performance, and recommend actions.
  • Work with Strategic Finance and Marketing leadership on forecasting, scenario planning, and quarterly planning.
  • Present findings to VP-level stakeholders and influence roadmap decisions.
  • Manage multiple concurrent projects and prioritize work in a fast-moving environment.
  • Raise analytical standards through peer reviews, documentation, and mentorship.

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 either Python or R for data manipulation, statistical analysis, and modeling.
  • Hands-on experience designing and analyzing marketing experiments such as A/B tests, geo experiments, and holdouts.
  • Experience applying causal inference techniques to estimate incrementality.
  • Proven track record implementing at least one marketing measurement approach such as MMM, MTA, or structured incrementality testing for multi-million-dollar programs.
  • Experience building business-facing dashboards and self-serve tools in Looker, Tableau, or Mode.
  • Experience with modern data warehouses such as Snowflake, BigQuery, or Redshift and version control with Git.
  • Ability to translate ambiguous business questions into analytical roadmaps and communicate actionable recommendations to non-technical and executive audiences.
  • Bachelor’s degree in a quantitative field or equivalent practical experience.
  • 8+ years of relevant experience and an advanced degree in a quantitative discipline, preferred.
  • Experience building and operationalizing Marketing Mix Models, preferably Bayesian approaches using PyMC, Stan, or similar, preferred.
  • Familiarity with privacy-conscious measurement such as conversion modeling, SKAN, clean rooms, and ad platform APIs, preferred.
  • Experience with analytics engineering and pipeline tooling such as dbt and Airflow, preferred.
  • Background in lifecycle or CRM analytics and LTV forecasting, preferred.
  • Exposure to experimentation platforms, feature flagging, or ML applications for bidding, pacing, and creative optimization, preferred.
  • Experience mentoring peers and improving analytical standards through code reviews, reproducible research, and documentation, preferred.

Benefits

  • Remote-first Flex First work environment with flexibility to work from home, an office, or a coffee shop.
  • Highly market-competitive compensation and benefits.
  • Base pay range of $168,000 to $177,500 CAD for Canadian candidates.
  • Eligible for a new hire equity grant.
  • Eligible for annual refresh equity grants.
  • Hiring currently open in Ontario, Alberta, British Columbia, and Nova Scotia.

Interested in this position?

Apply directly on the company website

Apply Now

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