Decision Scientist- Retail Media

Albertsons Media Collective; Chicago (IL); On-site; USD 95,400 - 123,900; Full time

Benefits offered by this job

Competitive wages paid weekly

Associate discounts

Health and financial well-being benefits

Paid time off and holidays

Career growth and development opportunities

Job summary

A leading retail media company is seeking a Decision Scientist to join their Marketing Science Research team in Chicago. This role requires 5+ years of experience in data analytics, expertise in SQL and Python, and strong stakeholder management skills. As the lead analyst, you will drive causal understanding of marketing effectiveness and contribute to business insights. The position offers competitive compensation, benefits, and opportunities for growth in a dynamic environment.

Qualifications

• 5+ years of direct experience in Data Analyst/Science roles.
• 2+ years’ experience within Advertising/Media Data.
• Demonstrated ability to surface meaningful insights.

Responsibilities

• Lead complex analytics projects for Marketing Science Research.
• Design and execute analysis around campaign performance.
• Translate requirements for Retail Media business.

Skills

Expert SQL skills

Strong Python experience

Data visualization skills

Stakeholder management

Ability to optimize complex data sets

Education

Bachelor’s degree in Math, Statistics, Engineering, or equivalent

Tools

Data Warehousing

PowerBI

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

Albertsons 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 team will work directly with Data Science, Engineering, and Senior Leadership to help answer questions that influence the direction of the business in both short and 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 and Python knowledge that allows you to parse through large and 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 and test design to answer our business’s most pressing questions.

• Work with our Engineering and Data Science teams to develop our incrementality testing and 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 versus traditional metrics like ROAS.

The position is in office and based in Pleasanton, CA — Boise, ID — or Itasca, IL.

We Are Looking For Candidates Who Possess The Following

• 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 and 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.) and 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.

We Also Provide a Variety Of Benefits Including

• 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.

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.