Decision Scientist- Retail Media

Albertsons Company Inc. • Chicago, IL

40d • Onsite

About The Position

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. Albertson's Companies is looking for a Decision Scientist to join our Marketing Science Research team to drive complex, high priority analytics projects that are critical to understanding and adding value to our business. The Marketing Science Research team will work directly with Data Science, Engineering, and our Senior Leadership to help answer questions that influence the direction of the business in both short & long term via data-driven insights and targeted recommendations. In this role, your focus will be designing and executing analysis around our most pressing problems to drive causal understanding of campaign performance. You have extensive, hands-on SQL & Python knowledge that allows you to parse through large & noisy datasets to validate assumptions and uncover new paths forward. You have a passion for debunking false correlations and understand how to control for the correct variables to develop causal understanding without bias. You have strong stakeholder management skills and aren't afraid of working with ambiguity; the success as a team depends on identifying the most valuable problems and extracting the right requirements from stakeholders across the business (Strategy, Leadership, Engineering, Innovation) while finding creative solutions to legacy problems. You will report to the Head of Marketing Science Research and act as our lead analyst responsible for causal analysis & test design to answer our business's most pressing questions. The position is in office and based in Pleasanton, CA -Boise, ID- or Itasca, IL.

Requirements

• 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.
• 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.

Nice To Haves

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

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.

Benefits

• Competitive wages paid weekly
• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Food and Beverage Retailers
• Number of Employees: 5,001-10,000 employees