Principle Data Scientist

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, Carr's, 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-MF1

What you will be doing

The Data Science team at Albertsons Companies is looking for a Principal Data Scientist to work for the most transformational food and drug retailers in the United States.

The position will be based preferably in Pleasanton, CA, also considering Dallas TX.

As a Principal Data Scientist, you will lead our data science initiatives and play a critical role in shaping our data science models, including ML and AI models, for our Product Foundational data science capabilities used to deliver key outcomes for Assortment and Space Planning, Pricing, Personalization, and Transportation efforts that are leading to business growth, customer growth and services for Albertson's partners. You will leverage your deep expertise in machine learning, as well as statistical and mathematical modeling to drive impactful business decisions and innovations at enormous scale.

You will be a key technical leader responsible for designing and implementing the data science architecture that underpins our AI and ML modeling Product Foundational capabilities and integration with applications and data pipelines. This role demands a visionary thinker with deep technical expertise and a strategic mindset, who can drive the evolution of our data science infrastructure and methodologies.

Main responsibilities

Technical Expertise:

• Design and implement state-of-the-art machine learning models and algorithms.

• Analyze large, complex datasets to extract actionable insights.

• Develop predictive and prescriptive models to drive business decisions.

• Oversee the deployment of data science models into production environments.

• Ensure best practices in data engineering, model management, and version control.

Architectural Leadership:

• Define and implement the overarching data science architecture and strategy.

• Ensure the scalability, performance, and reliability of data science solutions.

• Lead the selection and integration of data science tools, frameworks, and platforms.

• Build and deploy data science solutions at scale.

Collaboration and Guidance

• Work closely with cross-functional teams, including engineering, product, and marketing, to integrate data science solutions into business processes.

• Provide technical mentorship and guidance to the data science team.

• Collaborate with cross-functional teams to translate business requirements into scalable data science solutions.

Innovation and Continuous Improvement:

• Stay current with the latest advancements in data science, machine learning, and AI technologies.

• Evaluate and implement new tools and technologies to enhance the data science architecture and continuously improve analytical capabilities.

• Drive innovation through research, experimentation, and prototyping.

Governance and Best Practices:

• Establish and enforce data science best practices, including coding standards, documentation, and model validation.

• Ensure data security and compliance with relevant regulations and standards.

• Develop and maintain comprehensive documentation of the data science architecture and processes.

The salary range is $182,400.00 to $247,000.00) 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 (accrued based on hours worked), PTO/Vacation Pay (accrued based on hours worked) or Flexible Time Off, paid holidays (8-9 days annually), bereavement pay, and retirement benefits (such as 401(k) eligibility). [If applicable:] Associates in this position are also eligible for a quarterly bonus.

What we are searching for

• Advanced degree in a STEM field like CS, DS, Engineering, Statistics, Math, etc. is preferred, or equivalent experience from building large scale solutions.

• 10 years of experience in data science, with experience in architecting and deploying data science solutions at scale.

• Proven track record of leading data science projects and teams.

• Extensive experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and data analysis tools (e.g., Python, R).

• Strong background in statistical modeling, deep learning, data mining, and predictive analytics.

• Strong background in data engineering and big data.

• Proficiency in SQL and experience with cloud platforms (e.g., AWS, Azure, Google Cloud).

• Proficiency in understanding interaction of multiple data science/ML models.

• Must know how to go from point solutions to platforms.

• Strong problem-solving skills and the ability to think critically and analytically.

• Excellent communication and presentation skills.

• Ability to manage multiple projects and prioritize tasks effectively.

• Product mindset and systems thinking.

Preferred Qualifications

• Experience in retail industry.

• High performance computing background and experience engaging with the engineering teams in a product model.

• Familiarity with DevOps practices and tools for model deployment and monitoring (e.g., Docker, Kubernetes).

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-(option #4).

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