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Albertsons Companies · 2 months ago

Decision Scientist- Retail Media

5918 STONERIDGE MALL RD, PLEASANTON, CA, 94588, US

Full-time

Onsite

Senior Level

$95K/yr - $124K/yr

5+ years exp

Albertsons Companies is a leading food and drug retailer in the U.S., seeking a Decision Scientist to join their Marketing Science Research team. The role focuses on driving complex analytics projects to influence business decisions through data-driven insights and targeted recommendations.

Food and BeverageFood DeliveryMeat and PoultryRetail

Responsibilities

Work with our Engineering and Data Science teams to develop our incrementality testing & methodologies (Bayesian Structural Time Series, Synthetic Approaches, matched market, etc.) for in-store media

Bridge Business, Engineering, and Data Science teams to translate requirements for our Retail Media business into in-store capabilities necessary for robust measurement that will be meaningful to our CPG partners

Help build the story to shift the Retail Media Network Industry toward Incremental Performance Metrics by distinguishing and comparing these success metrics vs. traditional metrics like ROAS

Qualification

SQLPythonData AnalysisData VisualizationStakeholder Management

Required

A bachelor's degree in Math, Statistics, Engineering, or an equivalent STEM degree strongly preferred

5+ years of direct experience in Data Analyst/Science roles

2+ years' experience within Advertising/Media Data strongly preferred

Expert SQL skills and robust working knowledge of Data Warehousing required

Strong Python experience required

Demonstrated experience working with & optimizing large, complex data sets

Demonstrated experience surfacing meaningful insights and integrating strategic recommendations that directly influence business trajectory

Skill with data visualization (PowerBI, ggplot, plotly, etc.) & storytelling skills to help translate complex insights to stakeholders with varying levels of data literacy

Strategic bent and ability to drive, build, and optimize analyses and light-weight data products without strict guidance