Ice Cream Customer Analytics Data Scientist

Ice Cream Customer Analytics Data Scientist

Scope: US, Customer Development

Location: Englewood Cliffs, NJ - Hybrid

Terms & Conditions: Full time, International sponsorship or relocation not supported

The Ice Cream division at Unilever is preparing to stand on its own, aiming to become an independent, EUR 8.3 billion publicly listed company by the end of 2025. We’re on a mission to create the ultimate snacking company.​ A place where growth, innovation, founder and ownership mentality, and performance are cultivated and rewarded. And where we craft extraordinary ice cream experiences - transforming ordinary moments into lasting memories.​ Because we know, life tastes better with ice cream.​

ABOUT THE MAGNUM ICE CREAM COMPANY:

The Magnum Ice Cream Company is all about growth. Growing our business. Growing our customers’ businesses. Growing our people’s careers.​ Growth begins with empowerment. So we free our people to be innovative, responsible entrepreneurs, driven and equipped to give our consumers more amazing products and unforgettable moments – and having fun doing it.​  

With 19.000 expert ice cream colleagues and iconic brands like Wall’s, Cornetto and Ben & Jerry’s, loved in 76 countries, we are the world’s largest Ice Cream company leading the industry.  We have been taking pleasure seriously for more than 100 years, serving happiness with every lick or scoop of ice cream for generations.  

We are investing to unlock the full growth potential of The Magnum Ice Cream Company as a standalone entity, once we separate from Unilever, which is planned to happen before the end of 2025.  

We dream big but keep things simple to act fast.​ 

If you want to grow with us, make an impact, and shape the future of Ice Cream, this is the place for you! 

JOB PURPOSE:

The Customer Analytics Data Scientist will report to the Associate Director of CD Analytics and Insights and will be responsible for developing advanced analytical models and insights that empower the US Customer Development function to achieve its sales ambitions. In this role, you will have the opportunity to design and implement predictive and prescriptive analytics solutions that drive decision-making across sales, category management, shopper marketing, and channel strategy.

This is a hands-on technical role with strong business integration. The ideal candidate not only has deep expertise in statistical modeling and machine learning but also thrives on partnering with commercial and customer development teams to translate complex data into actionable business stories. You will collaborate closely with data engineering to ensure models are seamlessly operationalized within our data ecosystem and brought to life through visualization and stakeholder engagement.

KEY RESPONSIBILITIES:

• Work closely with business stakeholders to translate needs into well designed and executed technology products that are embedded into daily decision-making, with a focus on promotion optimization, syndicated and retailer data, demand forecasting, shopper marketing, digital commerce, and sales reporting

• Develop predictive and forecasting models (e.g., forecasting demand, pricing, promotions optimization, customer/shopper behavior) that drive commercial decision-making and business performance.

• Collaborate with data engineering to define consistent business logic and unified data definitions, consistent with how the business operates, that enable self-service analytics and integration across data products.

• Build advanced analytics capabilities including demand forecasting, promotion performance, assortment optimization, and shopper behavior modeling.

• Liase with local and global business and technology teams to define, manage, and enhance Magnum’s Customer Development analytics capabilities

• Conduct advanced analytics analyses using data science, machine learning, and AI to uncover insights that generate tangible business value

• Communicate and deliver engaging data visualizations and data narratives that bring data to life for both technical & non-technical audiences, simplifying complex concepts and enabling decision-making across commercial teams

• Guide and lead squads or project teams, driving adoption of data science principles and best-in-class analytics approaches to deliver impactful solutions.

WHAT YOU NEED TO SUCCEED:  

• Technical aptitude and the ability to lead teams toward business-value focused technology solutions

• 6+ years of experience with cloud data platforms (Azure, AWS, GCP) and Databricks, with strong proficiency in SQL, PySpark, Python, and D