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

What you will be doing

The Data Science team at Albertsons Companies is looking for an experienced Sr. Data Science Manager 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 collects and relies on big data from existing stores and customer interactions at the 2300 nationwide stores and beyond. We are a highly driven team that applies 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'll lead data scientists and partner with business 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 level of this position will be determined at the time of the interview.

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

Main responsibilities

Build and lead a high-performing team of data scientists and machine learning engineers in a hands-on technical capacity. Inspire and deliver data science innovations that fuel the growth of business Provide technical leadership in data science. Guide architectures, data science models, machine learning algorithms and engineering best practices. Coach team members and grow the skill sets Use machine learning to solve real problems, power the next generation experiences for large scale applications. Deliver breakthrough benefits to customers using personalized, enriched, and derived data from a range of sources Partner with cross-functional teams to deliver large scale strategic projects as well as ongoing operational activities. Interface with cross functional leaders and represent point of views from data science to drive measurable success  Drive meetings and lead discussions. Prioritize projects across the team and allocate resources to meet business and team goals Communicate sophisticated machine learning and modeling solutions effectively with intuitive visualizations for business stakeholders

The salary range is $157,900 to $205,300 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, Data Science, Engineering, Math, Statistics or related fields 2+ years management experience in building and leading data science teams  Track record of guiding teams through unstructured technical problems to deliver business impact. Ability to translate high-level business objectives into actions Skilled at running cross-functional relationships and communicating with leadership across multiple organizations 7+ years of industry experience in applying data science: experimental design, machine learning, deep learning algorithm etc.  5+ years of hands-on experience in building data science solutions and production-ready systems on big data platforms such as Snowflake, Spark, Hadoop 5+ years of experience and proficiency in Python, SQL Excellent communications skills, with the ability to synthesize, simplify and explain complex problems to different audience Experience with Snowflakes, Azure Databricks is a 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. 

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