Senior Research Data Scientist

Position Overview

dunnhumby is the global leader in Customer Data Science, empowering businesses everywhere to compete and thrive in the modern data-driven economy. Our mission is to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With deep heritage and expertise in retail, dunnhumby enables businesses across industries to be Customer First.

We are seeking a talented Senior Research Data Scientist to join our research data science team. You will translate complex business problems into data science problems and solve them using scalable, state-of-the-art AI algorithms. This role involves identifying new opportunities within the Data Science space for future dunnhumby solutions, learning from experts, and growing your career within our organization.

Requirements

• Education: Degree or equivalent in a statistical or mathematical subject.
• Experience: 5 to 7 years of experience in Data Science.
• Statistical & Mathematical Methodologies: Good understanding of forecasting, regression, linear models, time series, hypothesis tests, and optimization.
• Programming & Prototyping: Ability to prototype solutions using Python and Spark for algorithm development and testing on large datasets.
• Machine Learning: Good understanding of machine learning techniques, including classification, prediction, and clustering.
• Experimental Design: Ability to apply and extend experimental design methodology for rigorous measurement of treatment effects.
• Databases: Good working knowledge of databases, including SQL, relational, and non-relational data models.
• Algorithm Experience: Experience using the following algorithms at scale: Ancova, linear models with regularization, clustering, random forests, xgboost.
• Research: Ability to research the latest machine learning approaches.
• Programming Concepts: Good grasp of Object-Oriented Programming.
• Stakeholder Management: Required.
• Open-Source Packages: Ability to quickly learn open-source statistics and machine learning packages such as Pandas, SciPy, Scikit-learn, and TensorFlow.
• Domain Experience: Experience in developing solutions related to Market Mix Modelling, Causal AI, and Generative AI.

Responsibilities

• Translate complex business problems into data science problems.
• Solve problems using scalable and state-of-the-art AI algorithms.
• Identify new opportunities within the Data Science space for future dunnhumby solutions.
• Prototype solutions using Python and Spark.
• Facilitate development and testing of algorithms on large datasets.
• Apply and extend experimental design methodology.
• Conduct rigorous measurement of treatment effects.
• Research the latest machine learning approaches.

What dunnhumby Offers

• A comprehensive rewards package expected from a leading technology company.
• Personal flexibility and thoughtful perks, including flexible working hours and your birthday off.
• Investment in cutting-edge technology reflecting global ambition, with the freedom to play, experiment, and learn.
• A commitment to diversity and inclusion, with thriving employee networks.
• An inclusive culture that supports work-life balance.

Company Information

dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas, working for transformative, iconic brands such as Tesco, Coca-Cola, Meijer, Procter & Gamble, and Metro.

Application Instructions

Please let us know how we can make the recruitment process work best for you.

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