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Manager, Data Science

Job in Chicago, Cook County, Illinois, 60290, USA
Listing for: ViziRecruiter,LLC.
Full Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Data Scientist, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 136160 - 204240 USD Yearly USD 136160.00 204240.00 YEAR
Job Description & How to Apply Below

Introduction

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

Overview

Data Science Manager will lead a team focused on delivering business insights using data science expertise/techniques/tools that materially improve critical decisions by senior management and drive the business mission/strategy forward. This position provides effective leadership and hands‑on, practical executional guidance to a specialized analytical team. While most projects focus on marketing, merchandising, or shopper analytics, projects range across the org.

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 Chicago, IL, and Quincy, MA.

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

Responsibilities
  • Provide ongoing leadership to a strong, capable team that meets or exceeds the company's Data Science requirements.
  • Develop and train a team of Data Scientists to create quality models, ensuring outputs are logical and actionable.
  • Provide ongoing counsel to key clients Sr. Brand, Marketing and Merchandising Leadership and other key decision makers regarding proper interpretation and application of model output.
  • Provide input and significantly influence the development and refinement of company strategies.
  • Lead the development and deployment of customer segmentations, scores, store clustering and other KPI models to predict the impact of potential actions or programs being considered.
  • Lead innovation in data science methodologies and tools, staying abreast of industry developments related to data science and proactively exploring opportunities to advance organizational capabilities.
  • Develop strong relationships that enable learning about the business and how their work directly impacts decisions.
  • For specific projects, draw out critical information that impacts the learning objectives and incorporate into all work.
  • Identification of additional data requirements and partner with the data domain owners to collect and organize new data elements.
  • Maintain proficiency with major business systems and the data on which it relies.
  • Subject matter expert on methodologies and data sources used in modeling environment.
Requirements
  • At least 8 years' experience in Data Science.
  • At least 3 years of experience managing a team.
  • Strong foundation in statistics and machine learning.
  • Experience building customer segmentation models (experience in Fulfillment domain is a plus).
  • Programming Languages - SQL, Python, Spark.
Preferred Qualifications
  • Master's Degree in Quantitative Field (Statistics, Mathematics, Economics, etc.
  • Experience in the Food industry (Grocery, CPG, etc.) or Retail industry.
  • Experience in the Fulfillment domain.
  • Experience with forecasting.
  • Experience with Databricks.
Salary Range

$136,160 - $204,240

Actual compensation offered to a candidate may vary based on their unique qualifications and experience, internal equity, and market conditions. Final compensation decisions will be made in accordance with company policies and applicable laws.

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.

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