Senior Analyst Data Science Ensure Supply Analytics

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

If you're driven by the passion to do something meaningful that changes lives, Nestl is the place for you. Nestl USA is one of seven operating companies that make up Nestls presence in the United States. We're in 97% of American homes, and as the leading food and beverage company, our goals are to continue to deliver quality food and beverage products, strengthen our local communities, and reduce our environmental and climate impact.

Were determined to challenge the status quo and be better tomorrow than we are today. As individuals and teams, we embrace our entrepreneurial culture and have created a workplace where collaboration is essential, courage is rewarded, speed is expected, and agility is the norm to delight our consumers every single day. Here, you will find limitless opportunities to learn and advance your career and feel empowered to succeed in the workplace and beyond. Because our focus is not only on nourishing our customers, but also about enriching you.

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Position Summary Your Impact

The Sr. 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 Ensure Supply (Procurement, Manufacturing, and 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 ensure supply functions.

• Assist in the development, evaluation, and deployment of innovative data science solutions in support of ensure supply decision making.

• Introduce Machine Learning methodologies across a wide breadth of business use cases.

• Identify needed data and prepare data for model development.

• Acquire deep understanding of business problems and translate them into appropriate mathematical depictions.

• Interpret the results, draw conclusions, and present findings / recommendations to appropriate groups to help identify actionable steps to be taken across the Ensure Supply 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.

• Act as an internal consultant by integrating with functional customers to identify opportunities, scope and define the business problems, and assist in the deployment of self-service tools and applications.

• Engage in constructive collaboration with a broad range of team members from diverse functional backgrounds, by communicating complex ideas in palatable and understandable terms.

Primary Responsibilities What Youll Do

Responsibilities and essential job functions include but are not limited to the following:

Modeling

• 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 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 Ensure Supply functions and data sources for varying Nestl 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 Ensure Supply business network.

Your Team Who Youll Work With

• Work with Director, EA Ensure Supply 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

• At least 5 years of related work experience.

• Undergraduate Degree in Computer Science, Engineering, Mathematics, Statistics, Business or a similar field is required.

• Masters degree preferred.

• At least 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 Nestle USA.

• 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 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 supervision.

Requisition ID: 223055

It is our business imperative to remain a very inclusive workplace.

To our veterans and separated service members, you're at the forefront of our minds as we recruit top talent to join Nestl. The skills you've gained while serving our country, such as flexibility, agility, and leadership, are much like the skills that will make you successful in this role. In addition, with our commitment to an inclusive work environment, we recognize the exceptional engagement and innovation displayed by individuals with disabilities. Nestl seeks such skilled and qualified individuals to share our mission where youll join a cohort of others who have chosen to call Nestl home.

The Nestl 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, ethnicity, color, gender, gender identity, age, religion, national origin, ancestry, disability, perceived disability, medical condition, genetic information, veteran status, sexual orientation, or any other protected status, as defined by applicable law. Prior to the next step in the recruiting process, we welcome you to inform us confidentially if you may require any special accommodations in order to participate fully in our recruitment experience. Contact us at [ Email address blocked ] - Click here to apply to Senior Analyst Data Science - Ensure Supply Analytics or please dial 711 and provide this number to the operator:

This position is not eligible for Visa Sponsorship.