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

 

At Nestlé USA we are committed to providing high quality products that are essential to living well. As individuals and teams, we are empowered to make meaningful contributions that positively impact our families, communities, and planet. With our portfolio of global brands, the opportunities to innovate and grow are limitless. As the world's leading food and beverage company, our focus is not only about delighting our customers, it's about enriching you! 


Position Summary – Your Impact 

As a "Business Scientist" (Business Acumen + Data Scientist), the Enterprise Analytics Data Scientist will serve as the advanced analytics expert across EA initiatives currently in flight or being planned at NUSA, building, enhancing and applying sophisticated, interconnected and predictive algorithms to drive profitable growth across the enterprise. The overall objective is to enable diagnostic evaluation, predictive planning, and prescriptive decision making in everyday problem solving across the enterprise. 

 

  • Assist in model development, evaluation, and deployment to support operational decision making across the enterprise. 
  • 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 actionable steps to be taken by 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.


Primary Responsibilities – What You'll Do 
Responsibilities and essential job functions include but are not limited to the following:

 

Modeling

  • Test and implement the advanced analytics methods to derive insights that drive business growth 
  • Drive the execution of AI solutions to address business needs 
  • Drive EA priorities through rapid piloting and scaling of next gen technologies 
  • Incorporate the latest data science thinking into NUSA's solutions and models 
  • 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 leverage predictive, prescriptive, and scenario optimization tactics.  

 

Project Management

  • Manage 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 stakeholder management to ensure all parties are aligned and updated throughout project life cycle 

 

Integration

  • 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 stakeholders. 
  • Develop professional presentations and project status reporting appropriate for their intended audience. 

 

Training / Development

  • Coach analysts in addressing modeling issues identified by the business stakeholders. Provide analytics knowledge and support to the Supply Chain business network.

 

A few potential analytics areas you will be involved in are listed below. 

  • Recommendation Engine (e.g. Sales Recommendation Engine, Supply Chain Recommendation Engine) 
  • Predictive Scenario Planning (e.g. Future business performance, drivers and scenarios) 
  • Prescriptive Optimization (e.g. Trade Promotion Optimization, Commercial Spends Optimization, Network Optimization) 
  • Integrated Forecasting (e.g. Financial forecasting, Demand Forecasting) 
  • Intelligent Automation 


Your Team – Who You'll Work With 

  • Work with Director, EA Advanced Analytics to generate innovative, cross-functional solutions which comprehensively address the asks of the business 
  • Collaborate with Analytics, and Insights teams at EA, and business functions across portfolio of analytics projects 

 

Requirements and Minimum Education Level 

  • Undergraduate Degree in Computer Science, Engineering, Mathematics, Statistics, Business or a similar field. Master's degree preferred 
  • 3+ years of experience using various programming languages (R, Python etc.) to develop and apply advanced cognitive or machine learning methods and algorithms to address business priorities, with focus on consumer products preferred 


Necessary Skills & Qualifications 

  • Business acumen (strong understanding of how business operates, and how to harness data and analytics to meet business needs). 
  • Ability to develop and deploy advanced analytical models and algorithms that drive profitable growth at NUSA. 
  • Strong working knowledge of a variety of machine learning techniques (Regression, Clustering, Decision Tree, Probability Networks, AI, Machine Learning, Neural Networks, Bayesian models etc.). 
  • Proficient with one or more programming language such as R, Python. 
  • Experience visualizing/presenting data for partners using PowerBI and/or Tableau 
  • Passion for solving complex data problems and generating cross-functional solutions in a fast-paced environment 
  • Proven 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 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 supervision.
     

The Nestlé Companies are an equal employment opportunity and affirmative action employer seeking diversity in qualified applicants for employment. All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.

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Senior Analyst Data Scientist Enterprise Analytics