Job Description
Why choose us? Are you ready to take the next step in your career? Join us for an exciting opportunity at Albertsons Companies, where innovation and customer service go hand-in-hand! At Albertsons Companies, we are looking for someone who's not just seeking a job, but someone who wants to make an impact. In this role, you'll have the opportunity to lead, innovate, and contribute to the growth of a company that values great service and lasting customer relationships. This position offers the chance to work in a fast-paced, dynamic environment that's constantly evolving.
Main responsibilities:
Albertson's 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. You will partner closely with Strategy, Measurement, Engineering, and Senior Leadership to answer critical business questions and influence decision-making through rigorous causal analysis, experimentation, and data-drven storytelling. Our decision scientists work across our full analytics stack (GCP, Databricks, GitHub, etc.) to execute analyses that directly inform both near-term execution and long-term strategic direction. The position is in office 4 days per week and will be based in (Pleasanton CA, Boise ID, Itasca IL, 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. We are looking for candidates who possess the following: Required Qualifications:
Bachelor's degree in Mathematics, Statistics, Engineering, or an equivalent STEM degree strongly preferred. 4 plus 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 GitHub. 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. Preferred Qualifications:
2 plus years of experience in Advertising, Media, or Retail Media Analytics. Experience designing experiments or causal inference frameworks. Strategic mindset with the ability to independtly define analyses and develop lightweight data products with minimal guidance. We also provide a variety of benefits including: Competitive wages paid weekly Access to up to 50% of your earned wages before payday, via our partnership with Stream Associate discounts Health and financial well-being benefits for eligible associates (Medical, Dental, 401k and more!) Time off (vacation, holidays, sick pay). For eligibility requirements please visit myACI Benefits Leaders invested in your training, career growth and development An inclusive work environment with talented colleagues who reflect the communities we serve Our Values - Click below to view video: ACI Values #LI-AL1 A
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