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Manager Data Science - SCORe (P981) New

84.51°

$121,000 - $201,250
Oct 20, 2025
Cincinnati, OH, US
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The Kroger Co. is looking to solve end-to-end supply chain workstreams with a focus on leading the science and talent developing new decision science tools in the warehouse inventory replenishment space.

Requirements

  • Bachelor's degree in mathematics, statistics, analytics, data science or related discipline
  • 4+ years of experience in extracting insights from large databases, translating into actionable solutions and presenting findings and recommendations to clients
  • 4+ years of experience using advanced algorithms, programming languages, or technologies in the development of technical analytics solutions or capabilities.
  • Experience leading others in project work.
  • Knowledge of optimization, simulation, and decision science
  • Strong problem-solving skills and attention to detail, with a focus on delivering productionalized solutions.
  • Excellent communication skills, with the ability to engage effectively with technical and non-technical stakeholders.

Responsibilities

  • Lead and manage a team of data scientists, providing mentorship, guidance, and support to ensure high performance and professional growth.
  • Oversee the development and refinement of cutting-edge decision science methodologies, ensuring science rigor and business relevance, translating business requirements into data science work.
  • Partner with Product Management and Engineering counterparts to align on opportunities optimizing inventory planning with strategic business goals.
  • Think creatively when building analytics solutions to bring the most value to the user, balancing analytical rigor and practicality.
  • Monitor project progress, identify potential risks, and implement mitigation strategies to ensure timely delivery and high-quality outcomes.
  • Facilitate effective communication across a diverse set of stakeholders, including business stakeholders, KTD systems teams, KTD data teams, and leadership.
  • Collaborate closely with the Engineering team on the dependent system data ETL refinement.

Other

  • Bachelor's degree in mathematics, statistics, analytics, data science or related discipline
  • 4+ years of experience in extracting insights from large databases, translating into actionable solutions and presenting findings and recommendations to clients
  • Experience leading others in project work.
  • Strong business acumen; supply chain experience is a plus.
  • Excellent communication skills, with the ability to engage effectively with technical and non-technical stakeholders.