Decision Scientist - Marketing Science Research & Analytics - Retail Media

Position Overview

Albertsons Companies is seeking a Decision Scientist to join the Marketing Science Research & Analytics team, reporting directly to a Manager of Analytics. This role will lead complex, high‑impact initiatives that shape how we understand marketing performance and quantify incremental value across the retail media ecosystem. The position is in‑office four days per week and will be based in one of the following locations:
Pleasanton, CA;
Boise, ;
Itasca, IL; or NYC.

• Identify high‑value business problems and translate complex analyses into clear, actionable recommendations for business partners and senior leaders.
• Design and execute advanced analytical approaches to measure campaign performance, enhance measurement methodologies, and analyze customer behavior trends.
• Quantify relationships between campaign components (e.g., audience, creative, placement) and Return on Ad Spend (ROAS).
• Lead the GTM delivery of scalable, insight‑driven data solutions in partnership with cross‑functional teams.
• Partner with Engineering teams to improve data pipelines and reporting infrastructure.
• Navigate ambiguity with confidence, synthesize stakeholder needs, and proactively define analytical approaches to legacy and emerging challenges.
• Communicate analytical findings, lead training sessions, and develop client‑ready use cases for internal stakeholders.

• Bachelor’s degree in Mathematics, Statistics, Engineering, or an equivalent STEM degree strongly preferred.
• Four or more years of experience in analytics, data science, or decision science roles.
• Expert‑level SQL proficiency and strong experience working with data warehouses (GCP preferred).
• Advanced Python skills for analytical workflows, modeling, and data validation, with hands‑on experience in Databricks environments and version control via Git Hub.
• Proven experience working with large, complex, and imperfect datasets.
• Excellent communication skills with the ability to surface insights and integrate recommendations that influence strategic decisions.
• Strong data visualization and storytelling skills using tools such as Power BI, ggplot, plotly, or similar.

• Two or more years of experience in Advertising, Media, or Retail Media Analytics.
• Experience designing experiments or causal inference frameworks.
• Strategic mindset with the ability to independently define analyses and develop lightweight data products with minimal guidance.

• Competitive wages paid weekly.
• Access to up to 50% of earned wages before payday, via partnership with Stream.
• Associate discounts.
• Health and financial well‑being benefits for eligible associates (Medical, Dental, 401(k), and more).
• Time off (vacation, holidays, sick pay) – eligibility requirements available upon request.
• Leadership investment in training, career growth, and development.
• An inclusive work environment with talented colleagues who reflect the communities served.