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Karpinski Engineering Logo
Karpinski Engineering

Cleveland, Ohio

Illinois Department of Transportation

Springfield or Chicago, Illinois

Department of Business & Management, University of Southern Denmark

Denmark

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Source Advisors Logo
Source Advisors

Nationwide

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Rural Innovation Strategies Logo
Rural Innovation Strategies

Santa Fe, New Mexico

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USC Marshall - Data Sciences and Operations Logo
USC Marshall - Data Sciences and Operations

Los Angeles, California

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Tampa Bay Water

Clearwater, Florida

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Alameda Municipal Power/City of Alameda

Alameda, California

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The Hong Kong Polytechnic University, Department of Industrial and Systems Engineering

Hong Kong, Hong Kong, China

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Moffatt & Nichol

Raleigh, North Carolina

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Albert Einstein College of Medicine

Bronx, New York

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Metrolink

Pomona, California

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Nemera Logo
Nemera

Buffalo Grove, Illinois

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The Hong Kong Polytechnic University, Department of Industrial and Systems Engineering

Hong Kong, Hong Kong, China

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Mason County PUD No 1 Logo
Mason County PUD No 1

Shelton, Washington

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California State Polytechnic University, Pomona

Pomona, California

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University of Nevada Las Vegas

Las Vegas, Nevada

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Tilburg University

Tilburg, Netherlands

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BlackLocus, a Home Depot Company

Austin, Texas

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USC Marshall School of Business - Data Sciences and Operations Logo
USC Marshall School of Business - Data Sciences and Operations

Los Angeles, California

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Integra Credit

Chicago, Illinois

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Unirac 1411 Broadway Boulevard NE Albuquerque NM 87102-1545 USA Logo
Unirac 1411 Broadway Boulevard NE Albuquerque NM 87102-1545 USA

Albuquerque, New Mexico

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Data Science Strategy Leader
Kimberly-Clark is on a mission to transform to become a data driven and AI-First company. Our enterprise vision is to embed an algorithm into every K-C decision, process and product. To support this vision, Kimberly-Clark North America (KCNA) is creating an agile Data Science and Advanced Analytics Strategy team and we are looking for entrepreneurial-minded innovators to join us in our journey. The purpose of this high-performance central team is to define the Data Science strategy, standards, and operating model, establish a community of practice for existing advanced analytics talent within the organization, develop business critical priority data science solutions, embed them into decision making processes, and dev


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