Data Scientist

Category/Area of Expertise: Data-Science & Analytics
Job Requisition: 460791
Address: USA-IL-Chicago-300 South Riverside Plaza
Store Code: Data Science (5157583)

Ahold Delhaize USA, a division of global food retailer Ahold Delhaize, is part of the U.S. family of brands, which includes five leading omnichannel grocery brands - Food Lion, Giant Food, The GIANT Company, Hannaford and Stop & Shop. Our associates support the brands with a wide range of services, including Finance, Legal, Sustainability, Commercial, Digital and E-commerce, Technology and more.

Primary Purpose:

A Data Scientist is a crucial member of the Data Science team. You will be responsible for contributing to the development industry-leading machine learning / AI algorithms. This position is an opportunity to be part of a fast-growing and globally focused network of data scientists, machine learning engineers, and AI practitioners developing novel approaches to personalization and recommender engines. You will have also have access to world class academics though our partnerships and joint contracts with universities, as well as our staff of engineers and researchers.

Our flexible/ hybrid work schedule includes 3 in-person days at one of our core locations and 2 remote days. Our core office locations include Salisbury, NC, Chicago, IL, Quincy, MA.

Applicants must be currently authorized to work in the United States on a full-time basis.

Duties & Responsibilities:

• Create algorithms to better personalize every customer touch point
• Develop our core algorithms with strong methodological rigor
• Identify strengths, weaknesses, and potential biases of modeling components
• Consult with our brands and business partners to create ML/AI solutions to their largest business challenges
• Assist Machine Learning Engineers in the development of SDKs for rapid prototyping and deployment of algorithms
• Build robust experimentation algorithms to continually improve existing algorithms

Qualifications:

• Bachelor's degree in Statistics, Mathematics, Economics; Master's Degree preferred
• 3+ years of applied Data Science experience
• 2+ years of experience deploying, scaling, and continually improving algorithms
• Broad industry experience with ML/AI/GenAI and commonly used statistical methods
• Expert recommender systems and personalization algorithms
• Expert hands-on knowledge of current AI/GenAI solutions
• Fluent knowledge and experience with using LLMs
• Above 95th percentile coding ability in Python and PySpark
• Deep understanding of, and experience applying, the following ML concepts:
  • Collaborative filtering
  • Linear and scalar algebra
  • Association rule mining
  • Ranking algorithms
  • Advanced regression, classification, clustering, and time series algorithms
  • Automated hyperparameter tuning and model selection
  • Causal inference modeling at scale for algorithm testing and evaluation
  • Deep learning at scale for NLP

Preferred Qualifications:

• Experience with advanced search concepts using deep learning #DICEJobs #LI-hybrid #LI-SS1

NC Salary Range: $75,040 - $112,560

IL/MA Salary Range: $86,320 - $129,480

All ADUSA job offers take multiple factors into consideration including, but not limited to salary range, internal equity, a candidate's qualifications, geographic region, job-related knowledge and skills.

This position is eligible for an incentive bonus based on company performance as provided by the plan terms and governing documents.

At Ahold Delhaize USA, we provide services to one of the largest portfolios of grocery companies in the nation, and we're actively seeking top talent.

Our team shares a common motivation to drive change, take ownership and enable our brands to better care for their customers. We thrive on supporting great local grocery brands and their strategies.

Our associates are the heartbeat of our organization. We are committed to offering a welcoming work environment where all associates can succeed and thrive. Guided by our values of courage, care, teamwork, integrity (and even a little humor), we are dedicated to being a great place to work.

We believe in collaboration, curiosity, and continuous learning in all that we think, create and do. While building a culture where personal and professional growth are just as important as business growth, we invest in our people, empowering them to learn, grow and deliver at all levels of the business.