Data Scientist – Supply Chain

Nestle USA
Nestle USA

Job Overview

Foods people love. Brands people trust. And a career that nourishes your future like no other.

At Nestlé , we provide high-quality products that are essential to living well. As individuals and teams, we embrace leadership, make important contributions, and support each other’s professional development. Join the world’s leading nutrition, health and wellness company, and deliver the satisfying foods that help people around the world through every phase of life!


The Data Scientist will utilize a blended approach of statistical, predictive, and optimization modeling methodologies to lead new analytical approaches and develop recommendations to solve a broad spectrum of Operational Supply Chain challenges. The overall objective will be to imbed advanced analytical solutions into everyday decision support tools, with the goal of enabling diagnostic evaluation, predictive planning, and prescriptive decision making in everyday problem solving across the end-to-end supply chain functions.

• Assist in model development, evaluation, and deployment to support operational decision making across Nestlé’s Supply Chain
• Introduce Machine Learning methodologies across a wide breadth of business use cases
• Acquire deep understanding of business problems and translate them into appropriate mathematical depictions
• Act as an internal consultant by integrating with departmental customers to identify opportunities, scope and define the business problems, performing data analysis, and generate self-service solutions to address needs
• Interpret the results, draw conclusions, and present findings / recommendations to appropriate groups to help identify meaningful steps to be taken across the Supply Chain cross-functional and leadership teams
• Mentor more junior staff, guide predictive model development across team, define how customers use the models, and train users on integration

• Develop advanced analytics applications from use case concept to experimental design to industrialization / deployment to end users
• Develop, maintain, and enhance machine learning models across a wide breadth of applications
• Collect, cleanse, and understand complex data sources to enable proper analytical modeling
• Research, design, develop, test, and implement data science methodologies across a wide range of business applications
• Define and develop programming for self-service decision support solutions that use predictive, prescriptive, and scenario optimization tactics

Project Management
• Lead Special Projects, Pilots, Proof of Concepts, and Ad-hoc project work
• Participate in the evaluation, intake, design, and integration strategy between multiple Supply Chain functions and data sources for varying Nestlé businesses
• Conduct proper partner management to ensure all parties are aligned and updated throughout project life cycle

• Design and build advanced visualization tools that will simplify the outputs of the models, with the goal of being integrated into a self-service operational model across the business partners
• Develop professional presentations and project status reporting appropriate for their intended audience
Training / Development
• Coach analysts in addressing modeling issues identified by the business partners
• Provide analytics knowledge and support to the Supply Chain business network

Requirements and minimum education level:
Master’s Degree in Computer Science, Mathematics, Statistics or a similar field preferred

• 5+ years of experience, or 2+ years after Graduate Degree
• Experience working in a Supply Chain related support function is highly preferred
• Consistent track record of applying Machine Learning techniques beyond experimentation, with examples of integrating into business operations
• Strong examples of applying statistical and data mining techniques to uncover new insights that were applied to business decision making
• Strong acumen for storytelling while translating technical concepts to functional specialists
• Strong analytical aptitude with a proven ability to identify opportunities through both solo experimentation and direct collaboration with business partners
• Experience with large implementations of new technologies, such as Azure and/or ERP (especially SAP) systems

Technical Skills:
• Azure Data Lake
• Azure DataBricks
• Examples of applying Spark SQL, R, Python, PySpark and/or Scala beyond educational training and integrated into business operations
• Other Programming Languages: C, C++, C#, Javas

Interpersonal Skills:
• Shown examples of developing, selling, and sharing modeling concepts across team members to drive adoption and implementation beyond personal use
• Experience in a mentorship type role, focused on driving contribution beyond their own models and projects
• Good facilitation and presentation skills, including training delivery
• Excellent oral and written communication skills, organizational and time-management abilities
• High initiative, self-starter, and able to work with limited direct supervision


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