Decision Scientist- Retail Media

Job Description About the company Albertsons Companies is at the forefront of the revolution in retail. With a fixation on raising the bar with innovation and building belonging through our culture, our team is rallying our company around a unique purpose: to create joy around each table and inspire a healthier tomorrow for every community. Albertsons Companies is one of the largest food and drug retailers in the United States, with over 2,200 stores in 34 states and the District of Columbia. Our well-known banners include Albertsons, Safeway, Vons, Jewel-Osco, Shaw's, Acme, Tom Thumb, Randalls, United Supermarkets, Pavilions, Star Market, Haggen, Carrs, Kings Food Markets, and Balducci's Food Lovers Market. We support our stores with 22 distribution centers and 19 manufacturing plants. About Albertsons Media Collective Albertsons Media Collective is a tech-centric, people-focused retail media network. Albertsons Media Collective assembles an inclusive, dynamic team of proven industry leaders to help drive sales for our clients and profitable growth for Albertsons. Albertsons Media Collective has a rich history of tradition, innovation, relationships, community values, and putting customers first. We reach shoppers where they are. Anytime, everyplace through the moments that matter most. We're a collection of local businesses serving communities through the richness of diversity, relationships, and locality. Bring your flavor Building the future of food and well-being starts with you. Join our team and bring your best self to the table. #LI-AL1 What you will be doing Albertson's Companies is looking for a Decision Scientist to join our Marketing Science Research & Analytics team to drive complex, high priority analytics projects that are critical to understanding and adding value to our business. The Marketing Science Research & Analytics team works directly with our Senior Leadership & Product teams 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 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 the. You will report to the Head of Marketing Science Research & Analytics and act as our lead analyst responsible for meta-analyses in addition to helping support larger modeling efforts within The Collective. The position will be remoter but there is a preference to be located close to one of our main regional offices (Seattle, WA, Portland, OR, Pleasanton CA, Denver CO, Dallas TX, Chicago, IL, or Fullerton, CA, Phoenix, AZ). Main responsibilities Provide key relationships between core components of a campaign's composition (Audience, Creative, etc.) and Return On Ad Spend (ROAS). 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. Work with our Measurement & Engineering teams to improve underlying methodologies via analysis that will help us more clearly articulate performance. 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. What we are searching for A bachelor's degree in Math, Statistics, Engineering, or an equivalent STEM degree strongly preferred. 4+ years of direct experience in Data 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 working collaboratively with Data Engineering to enable & optimize data. 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. What is it like at Albertsons? Our 290,000 associates have a passion for great service and building lasting relationships with our customers. Through a companywide focus on innovation, we are continually enhancing our digital and product offerings, making it easy for customers to get what they need, wherever they are. Albertsons is an Equal Opportunity Employer This Company is an Equal Opportunity Employer, and does not discriminate on the basis of race, gender, ethnicity, religion, national origin, age, disability, veteran status, gender identity/expression, sexual orientation, or on any other basis prohibited by law. Consistent with applicable state and local law, the Company will consider for employment qualified applicants with arrest and conviction records. We endeavor to make this site accessible to any and all users. 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Created: 2024-11-20