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Nestle

Global branded foods and beverages producer

Data Science Manager

Data ScienceConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • A bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, or a similar field is required.
  • At least 7 years of experience using various programming languages to develop and apply advanced machine learning methods and algorithms to address business priorities is required.
  • At least 2 years of experience managing or mentoring data scientists working on a variety of projects simultaneously within a matrix organization is required.

Responsibilities

  • Lead the team in delivering analysis, insights, predictions, and prescriptions using machine learning, artificial intelligence, and other advanced analytics techniques through existing or new tools.
  • Maintain and update existing tools needed for ongoing execution of advanced analytics in these functions.
  • Serve as the single point of contact for advanced analytics needs across Procurement, Manufacturing, and Supply Chain.
  • Develop data-driven recommendations.
  • Test and implement advanced analytics methods to derive insights that drive business growth and savings.
  • Work with functional partners in Procurement, Manufacturing, and Supply Chain leadership teams to understand analytics needs and design solutions that meet business requirements.
  • Work with IT & Digital leadership and functional stakeholders to develop innovative cross-functional solutions that address business needs and generate value for Nestlé USA.
  • Work with senior IT & Digital and functional stakeholders to prioritize data science work and allocate resources across projects and tasks as appropriate.
  • Collaborate with global and regional IT & Digital teams to ensure analytics solutions align with enterprise platforms and standards and support regional and global scaling as needed.
  • Ensure the team builds solutions with security and resilience in mind, protecting sensitive data, safeguarding critical business processes, and anticipating failure and misuse so solutions remain safe, trustworthy, and reliable in production.
  • Drive IT & Digital and functional priorities through rapid piloting and scaling of next-generation analytics technologies.
  • Incorporate the latest data science thinking into Operations Analytics solutions and models.
  • Manage a team of data scientists responsible for delivering data science components of solutions and projects.
  • Develop junior data science team members by identifying growth opportunities, creating plans, and managing execution.

Desired Qualifications

  • A master's degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, or a similar field is preferred.
  • Experience with MLOps practices, cloud and AI/ML platforms (Databricks, Snowflake, Microsoft Azure), generative AI solutions, GitHub, and Microsoft Power BI is preferred.
  • Experience in consumer goods is preferred.

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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