Decision Scientist- Retail Media

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 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.

• Work with our Engineering and Data Science teams to develop our incrementality testing & methodologies (Bayesian Structural Time Series, Synthetic Approaches, matched market, 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.

The position will be based in Pleasanton, CA or one of our main regional offices Boise, ID, Dallas, TX

We are looking for candidates who possess the following :

We also provide a variety of benefits including :

Our Values – Click below to view video :

The salary range is $95,400 to $123,900 annually. Starting salary will vary based on criteria such as location, experience, and qualifications. There may be flexibility for exceptional candidates.

Benefits may include, medical, dental, vision, disability and life insurance, sick pay, PTO / Vacation pay / Flexible Time Off, paid holidays (8-9 days annually) bereavement pay and retirement benefits (such as 401(k) eligibility). Associates in this position are also eligible for a quarterly bonus.

A copy of the full job description can be made available to you.

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