Sr Dir - Data Science

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.

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.

#bringyourflavor

#LI-ST4

What you will be doing

The position will be based in Pleasanton CA.

Main responsibilities

• Manage and lead the partnerships with cross-functional teams to deliver data science and machine learning models to support the Albertsons Media Collective business areas of the company, interfacing with cross functional leaders and representing point of views from data science to drive measurable success

• 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 to support the full deployment process for all models in scope. Coach team members and grow the skill sets.

• Use machine learning to solve real customer problems, power the next generation experiences for large scale applications at real time. Deliver breakthrough benefits to users using source, enriched and derived data from a range of sources

• 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 $ 218,900 to $ 284,300 annually.

What we are searching for

• Masters or PhD degree in quantitative discipline: Computer Science, Data Science, Engineering, Math, Statistics or related fields

• 5+ years management experience in building and leading data science teams

• Specific experience and skills working in the area of Ad Tech and/or Marketing Tech is preferred

• 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

• 8+ years of industry experience in applying data science: experimental design, machine learning, deep learning algorithm etc.

• 8+ years of experience and proficiency in Python, SQL

• 5+ years of hands-on experience in building data science solutions and production-ready systems on big data platforms such as Snowflake, Spark, Hadoop

• Excellent communications skills, with the ability to synthesize, simplify and explain complex problems to different audience

• Experience with recommender system, Snowflake, 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.

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

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