Data Science Manager

Nestle

. Lead a team delivering analysis, insights, predictions, and prescriptions using ML, AI, and advanced analytics techniques .

Posted 10/28/2026full-timeUnited StatesSeniorLead💰 $166,883 - $205,989 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in advanced analytics, machine learning, and data science methodologies while effectively leading and mentoring a team of data scientists. Capable of developing innovative solutions that align with business needs across Procurement, Manufacturing, and Supply Chain.

Highest-signal resume keywords

Advanced Analytics TechniquesMachine Learning MethodsData Science Team ManagementML Ops PracticesCloud Platforms (Databricks, Snowflake, Microsoft Azure)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningData AnalysisPredictive ModelingStatistical AnalysisData-Driven RecommendationsProgramming LanguagesAdvanced Analytics ToolsData Science PracticesAlgorithm DevelopmentData Visualization

Soft Skills

LeadershipCollaborationMentoringCommunicationProblem-Solving

Tools & Technologies

DatabricksSnowflakeMicrosoft AzureGitHubMicrosoft Power BI

Industry Keywords

Consumer GoodsSupply ChainProcurementManufacturingData Security

Tech Stack

Tools & technologies

AzureCloudSnowflake

About the role

Key responsibilities & impact

Lead a team delivering analysis, insights, predictions, and prescriptions using ML, AI, and advanced analytics techniques
Maintain and update existing advanced analytics tools
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 drive business growth and savings
Partner with Procurement, Manufacturing, and Supply Chain leadership to understand analytics needs and design solutions
Develop innovative cross-functional solutions with IT & Digital leadership and functional stakeholders
Prioritize data science work and allocate resources across projects and tasks
Collaborate with global and regional IT & Digital teams to align solutions with enterprise platforms and standards
Ensure solutions protect sensitive data and remain secure, resilient, trustworthy, and reliable in production
Drive rapid piloting and scaling of next-generation analytics technologies
Incorporate current data science practices into Operations Analytics solutions and models
Manage five data scientists responsible for data science components of solutions and projects
Develop junior data science team members through growth opportunities, plans, and execution

Requirements

What you’ll need

Bachelor’s degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, or a similar field
7+ years of experience using various programming languages to develop and apply advanced machine learning methods and algorithms to address business priorities
2+ years of experience managing or mentoring data scientists working on a variety of projects simultaneously within a matrix organization
Experience with ML Ops practices, cloud and AI/ML platforms (Databricks, Snowflake, Microsoft Azure), GenAI solutions, GitHub, and Microsoft Power BI is preferred
Experience in consumer goods is preferred
This position is not eligible for Visa Sponsorship

Benefits

Comp & perks

Performance-based incentives/bonus eligibility
401(k) with company match
Healthcare coverage
Competitive total rewards package
Inclusive workplace
Recruitment accommodations for applicants with disabilities