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-CH2

What you will be doing

The Data Science team at Albertsons Companies is looking for a Lead Data Scientist to work for the most transformational food and drug retailers in the United States. Albertsons operates over 2,300 stores under 19 well-known banners including Albertsons, Safeway, Vons, Jewel-Osco, Shaw's, Acme, Tom Thumb, Randalls, United Supermarkets, Pavilions, Star Market, Haggen and Carrs. The company reported revenue of over $60 billion from over 34 million weekly shoppers and is the third largest private company in the country.

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 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 experience 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.

This position is primarily located in Pleasanton, CA, 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

Big part of your responsibilities will be project-based. You will be responsible for identifying and providing solutions and tooling built on predictive modeling, machine learning algorithms that satisfy various business needs Use machine learning algorithms to generate customer behavior segmentation, to build recommendation engines and deliver personalized user experience on ecommerce website and loyalty mobile app Apply predictive modeling techniques and survival models to forecast various demands for operations and to deploy real time learning algorithms to optimize the forecasts Build data science solutions to solve complex problems and fuel growth initiatives for Digital, Merchandising, Marketing and Loyalty teams Extract insights and scale sentiment analysis from comments and other forms of feedback using Natural Language Processing. Develop adaptable NLP solutions including text categorization, domain classification, event detection, and topic modeling Design experiments and deliver A/B Testing analysis to improve customer experience in physical store and on digital platforms Apply statistical analysis to detect anomaly in systems and outliers in operational metrics for operational excellence Convey sophisticated machine learning and modeling solutions with intuitive visualizations and effective communications

The salary range is $182,400 to $247,800 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). Associates in this position are also eligible for a quarterly bonus.

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 7+ 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.  5+ years of experience and proficiency in Python and/or Spark-ML 5+ years of SQL development skills writing complex queries, transforming data, mining structured and unstructured data 3+ years of hands-on experience in building data science solutions and production-ready systems on big data platforms such as Snowflake, Spark, Hadoop Proven track record of leveraging data science solutions to drive impactful business decisions Proven ability to effectively distill and communicate complex machine learning solutions to different audiences Experience with Snowflake, Azure Databricks is a strong plus  Experience using data access tools and building dashboards with large datasets from multiple data sources 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. 

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).