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Nestle

Global branded foods and beverages producer

Senior Commercial Data Scientist

Data ScienceUpdated on Nov 14
Full-timeSt. Louis, MO, USAIn-person

About the Job

Requirements

  • A bachelor's degree in Data Science, Marketing Analytics, Applied Statistics, Economics, Computer Science, or a related field.
  • At least 2 years of experience working directly with business stakeholders to translate ambiguous business problems into analytical approaches and communicate technical findings in clear, business-relevant terms.
  • At least 5 years of professional experience, including at least 3 years applying data science, advanced analytics, or machine learning to business problems focused on marketing, consumer, commercial, e-commerce, sales, or related customer-facing business problems.

Responsibilities

  • Serve as a hands-on data science consultant to brand, marketing, sales, and category teams, working directly with business partners to understand challenges, shape ambiguous problems, identify analytical opportunities, and translate commercial priorities into data science and AI solutions that change how work gets done.
  • Design, develop, validate, and implement statistical, predictive modeling, machine learning, and AI solutions to solve complex consumer-facing, go-to-market, and other commercial and marketing business problems.
  • Explore and apply Generative AI capabilities to commercial and marketing opportunities, working with other technical experts when specialized architecture or engineering expertise is needed.
  • Work within established AIOps/MLOps, monitoring, and model-governance practices to help move solutions from experimentation into production.
  • Leverage and contribute to reusable frameworks, tools, and best practices that help accelerate development and scale successful solutions.
  • Share knowledge with other data scientists and stay current on emerging AI and analytics approaches relevant to commercial and marketing applications.

Desired Qualifications

  • A master's or PhD in Data Science, Applied Statistics, Marketing Analytics, Economics, Computer Science, Business Administration, or a related field.
  • Experience operationalizing AI solutions through AIOps/MLOps frameworks, model governance, and enterprise AI lifecycle management.

About the Company

Nestle

Global branded foods and beverages producer

Nestlé manufactures and markets branded foods, beverages, pet care, and nutrition products in about 185 countries. Its products are produced at scale and distributed through retail, foodservice, and direct-to-consumer channels, backed by a global R&D network. Distinctive factors include its enormous global footprint, a diversified lineup from coffee to pet care to infant nutrition, and the combination of retail plus professional channels. Its goal is to provide reliable, high-quality nutrition to people worldwide while advancing nutrition science through its research and brands.

Company size
10,001+
Company stage
IPO
Headquarters
Vevey, Switzerland
Founded
1866

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