J

Principal Data Scientist

Jewel-Osco
Full-time
On-site
Pleasanton, United States
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. #LI-ST4


What you will be doing


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 foundational data science capabilities used to deliver key outcomes for business initiatives in planning and operations for business growth, customer growth and services to 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. This role requires a blend of technical prowess, strategic thinking, and leadership skills.


The position will be based in Pleasanton, CA or Boise, ID.


Main responsibilities


Leadership and Strategy:



  • Lead and mentor a team of data scientists and analysts.

  • Develop and execute a comprehensive data science strategy aligned with business objectives.

  • Collaborate with senior leadership to identify and prioritize high-impact projects.


Advanced Analytics and Modeling:



  • Design, build and deploy large scale systems for demand forecasting, supply chain optimization and simulation, merchandising planning, dynamic price optimization

  • Design, build and deploy customer growth systems at scale for personalized ad/ offer/ item recommendations, search, cross-sell strategies.

    • 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.



Project Management:



  • Oversee the end-to-end lifecycle of data science projects from ideation to deployment.

  • Ensure timely delivery of high-quality analytics solutions.

  • Manage project timelines, resources, and stakeholder communications.


Collaboration and Communication:



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

  • Present findings and recommendations to both technical and non-technical stakeholders.

  • Foster a data-driven culture within the organization.


Innovation and Continuous Improvement:



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

  • Experiment with new techniques and technologies to continuously improve analytical capabilities.

  • Drive innovation through research and development initiatives.


The salary range is $ 182,400 to $ 247,000. 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. 


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


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.

  • 8+ years of experience in data science or a related field.

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

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

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

  • Background in ads, retail industry required 

  • Proficiency in SQL and experience with big data technologies (e.g., Hadoop, Spark).

  • Proficiency in writing production quality code and deploying solutions at scale

  • Strong statistician with knowledge of forecasting, experiment design, recommendation systems, advertising

  • 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


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).