Senior Data Science Lead — AI & Analytics for Growth

Unilever

Hoboken (NJ)

On-site

USD 103,000 - 154,000

Full time

3 days ago
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Benefits offered by this job

Leadership opportunity
Cutting-edge analytics
Collaborative culture
Impact on sustainability

Job summary

Unilever in Hoboken, New Jersey, seeks a Data Science Manager to lead delivery across products and markets within the Global Data & Technology organization. You will fuse technical depth with people leadership, guiding projects from problem framing to production deployment, and you will partner with product, engineering, and business stakeholders to drive measurable outcomes.

This hands-on leadership role requires strong modelling expertise and proficiency in Python, Spark, Databricks and Azure,

Qualifications

  • Degree qualified in a technical discipline (Data Science/CS/Engineering/Math/Statistics).
  • Proven experience leading data science teams in commercial or product-driven settings.
  • Strong modelling background: econometric, time series, optimisation, and simulations.

Responsibilities

  • Lead data science delivery across products and markets.
  • Shape technical direction and build high-performing teams.
  • Own end-to-end data science lifecycle for key initiatives.
  • Translate business problems into scalable analytics solutions.
  • Embed data science into decision-making at scale.

Skills

Leadership
Stakeholder communication
Agile methodologies
Problem solving

Education

Degree in a data science related field

Tools

Python
Spark
Databricks
Azure

Job description

Unilever in Hoboken, New Jersey, seeks a Data Science Manager to lead delivery across products and markets within the Global Data & Technology organization. You will fuse technical depth with people leadership, guiding projects from problem framing to production deployment, and you will partner with product, engineering, and business stakeholders to drive measurable outcomes.

This hands-on leadership role requires strong modelling expertise and proficiency in Python, Spark, Databricks and Azure,

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