# Data Science Manager – Customer Development XOPS at Unilever

Unilever is hiring a Data Science Manager – Customer Development XOPS. It pays $103k-$154k a year and Level rates it Little AI ●○○○; you can [apply on Unilever](https://jobsbylevel.com/go/141020f2-c065-4552-a52f-eaeaa90265cc?utm_medium=ai-agent).

AI Level 1, AI centrality 14 out of 100. Hoboken US HQ.

## Details

- Company: [Unilever](https://jobsbylevel.com/companies/unilever)
- AI level: AI Level 1 (score 14 out of 100)
- Location: Hoboken US HQ
- Salary: $103k-$154k
- Posted: September 16, 2026
- Apply: https://jobsbylevel.com/go/141020f2-c065-4552-a52f-eaeaa90265cc?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=data-science-manager-customer-development-xops-at-unilever-1979ec

## Prepare for this job

The job page lists 2 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/data-science-manager-customer-development-xops-at-unilever-1979ec

## Description

Build data science products that shape how Unilever grows Unilever is one of the world’s leading consumer goods companies, with iconic brands such as Dove, Knorr, Domestos, Hellmann’s, Persil, Cif, TRESemmé, Rexona, and Axe. Our products are used by billions of people around the world, giving our teams the opportunity to solve meaningful problems at extraordinary scale. Guided by our purpose—to make sustainable living commonplace—we combine technology, data, and deep business expertise to create a more innovative, efficient, and future-fit Unilever. About Global Data & Technology (GDT) Data Foundation, part of GDT, is helping make Unilever truly data-intelligent. We build the data, analytics, and AI capabilities that power better decisions across the business—from accelerating innovation and strengthening brands to improving customer execution, personalising consumer experiences, and transforming internal operations. The Opportunity We’re looking for a Data Science Manager to join our team within Data Foundation. This is a hands-on leadership role for someone who enjoys combining technical depth, people leadership, and strong business partnership to turn complex commercial challenges into scalable data science solutions. You’ll lead data science delivery across products and markets, shape technical direction, and help build a high-performing team. From framing the right problem through to industrialising solutions and driving adoption, you’ll have ownership across the end-to-end data science lifecycle—and the opportunity to influence how data science is applied at scale across Unilever. What You’ll Do Shape products and technical direction Own and evolve the data science roadmap for products across our Customer Development (CD) portfolio, connecting commercial priorities with measurable business outcomes. Lead the design, development, and deployment of diagnostic, predictive, and prescriptive analytics solutions that are robust, scalable, and interpretable. Set high modelling and analytical standards across classical statistics, machine learning, and emerging Generative and Agentic AI capabilities. Ensure solutions are production-ready and industrialised using cloud platforms such as Azure and Databricks, with strong MLOps practices. Grow people and capability Build a culture of ownership, curiosity, continuous improvement, and disciplined delivery. Provide hands-on technical guidance, thoughtful feedback, and mentorship to data scientists, helping the team grow its skills and impact. Partner with the business Work closely with Product, Engineering, and Business stakeholders to define the right problems, prioritise opportunities, and accelerate adoption of data science solutions. Turn complex analytics into clear, compelling, and actionable insights for senior stakeholders. Innovate and scale Champion agile experimentation and iterative delivery, helping teams learn quickly and translate ideas into impact. Identify opportunities to create reusable frameworks, scale successful solutions, and bring innovation into the global CD product pipeline. What You’ll Bring Technical expertise A degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, Econometrics, or a related technical discipline. Proven experience leading data science teams and delivering complex analytics initiatives in a commercial or product-focused environment. Strong data science modelling expertise, with depth in several of the following areas: Econometric modelling, including regression and Bayesian approaches, particularly for pricing and promotions in CPG/Retail. Time-series forecasting. Simulation and optimisation. Experience designing and industrialising machine learning solutions at scale; exposure to agent-based AI systems is a strong advantage. Advanced proficiency in Python, Spark, and modern analytics stacks, with hands-on experience using Databricks and Azure. Can do leader mindset Ready to lead the design and delivery of data

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/data-science-manager-customer-development-xops-at-unilever-1979ec

Source: https://jobsbylevel.com/jobs/data-science-manager-customer-development-xops-at-unilever-1979ec

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