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.

Placing a premium on adaptability, safety and family well-being, our work model, Presence with a Purpose, offers a hybrid work environment between remote work and office time. A one-size-fits-all approach does not apply to everyone, and teams are empowered to make decisions best for them. 

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-ST4 #bringyourflavor

What you will be doing

The Data Science team at Albertsons Companies is looking for an experienced Data Scientist to work for the most transformational food and drug retailers in the United States. Data Science at Albertsons is inspired to build best in class customer experience and revolutionize the food and drug retail industry. We are looking for people who are excited in re-imagining the grocery experience by harnessing the power of AI and digital technologies. The Data Science team collect and rely on big data from existing stores and customer interactions at the 2300 nationwide stores and beyond. We are a highly driven team that apply data science to delight our customers, to improve store operations, to optimize supply chain and to proactively improve product lifecycle. 

You will enjoy working with one of the richest data sets in the world, cutting edge technology, and the ability to see your insights turned into business impacts on regular basis. You will work closely with other data scientists and business partners in identifying and defining data science projects, building machine learning algorithms and models on top of existing data platforms. The candidate will have a background in computer science or a related technical field with experiences working with large data sets and applying data-driven decision making. A successful candidate will be both technically strong and business savvy, with a passion to make an impact through creative storytelling and timely actions. You are a self-starter, smart yet humble, with a bias for action.

The position is primarily located in Pleasanton, California, but the candidate can work virtually from anywhere in the US. Our other affiliated teams are located in Phoenix, AZ; Boise, ID; Plano, TX; Vancouver, BC. We can offer additional location options upon request.

Main responsibilities

Collaborate with business teams to develop production grade machine learning models on large-scale datasets and improve customers’ overall shopping experience  Enhance and apply optimization models to support various business decision making Identify key drivers for optimizing assortment and forecasting demand to delight customers with a well-designed store shelf.  Contribute to defining a rich product catalog by building machine learning and GenAI models to uncover rich product attributes and relationships Build models and algorithms to fuel growth initiatives for Digital, Merchandising, Marketing and Loyalty teams Apply predictive modeling techniques to optimize the forecasts for planning needs Scale up prototypes and implement reliable automated production workflow for models Collaborate with software development engineers to integrate models

The salary range is $131,600 to $171,080 annually. Starting salary will vary based on criteria such as location, experience, and qualifications. There may be flexibility for exceptional candidates.

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

What we are searching for 

Master’s or PhD degree in quantitative discipline: Computer Science, Engineering, Data Science, Math, Statistics or related fields 2+ years of industry experience in applying data science and modeling methodologies: regression model, survival model, ensemble modeling, NLP, recommendation algorithm, clustering, deep learning algorithm, experimental design (Multivariate/A-B testing) and nonparametric Bayesian modeling etc.  2+ years of experience and proficiency in SQL, Python and/or Spark-ML 2+ years of SQL development skills writing queries, transforming data, mining structured and unstructured data. 2+ years of hands-on experience in building data science solutions and production-ready systems on big data platforms such as Snowflake, Spark, Hadoop Strong teamwork and communication skill Ability to write production-level code in Python Experience with Snowflake, Azure Databricks is a strong plus

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. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at 1-888-255-2269(option #4).