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.​

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 DAX for building high-performance data transformations and pipelines.

• Hands-on experience with Databricks, Azure Data Factory, Delta Lake, Power BI, Alteryx and related cloud data technologies.

• Proficient in machine learning frameworks and libraries including scikit-learn, TensorFlow, PyTorch, XGBoost

• Experience with data visualization tools like PowerBI, Tableau. 

• Strong ability to communicate technical findings to non-technical audiences, turning data into actionable business narratives.

• Intellectual curiosity and strong analytic ability

• Preparedness to develop a deep understanding of business operations and needs for the Customer Development function

• Excellent planning, organization, and project estimation skills

• Strong understanding of the use and management of retailer and syndicated data

• Ability to work collaboratively with cross functional teams both locally and globally

• Ability to communicate and present complex topics clearly and compellingly to business stakeholders

SKILLS:

• Strong understanding of data science principles and data visualization approaches

• Solid understanding of data modelling to support analytics and reporting use cases.

• Proficiency in coding languages such as Python, PySpark, DAX and SQL

• Ability to collect business requirements and translate into technical solutions

• Experience using tools like Databricks, Azure Data Factory, Power BI, and Alteryx

• Experience leveraging data sources such as Circana, Nielsen, panel data, and retailer data

• Ability to design intuitive and compelling front end business applications

• Data Engineering, Computer Science or study in related field.

EXPERIENCES & QUALIFICATIONS:

Required

• Experience applying data science, machine learning, and AI to business problems in Consumer Goods organizations

• Experience designing and implementing end-to-end data analyses and capabilities for a business focused audience

• Experience creating data visualization dashboards in tools such as PowerBI or Tableau

• Experience collecting business requirements and translating them into technology projects

• Experience working in a consumer goods organization

• Experience with the use and management of retailer and syndicated data (such as Circana, Nielsen)

Preferred

• Experience in a consumer goods Customer Development function

• Experience with retailer data platforms such as Scintilla, SymphonyAI, 1010data and 84.51 Stratum

• Familiarity with Digital Commerce and Shopper Marketing data solutions

• Experience managing analytics teams

Pay: The pay range for this position is $99,760 to $149,640. TMICC takes into consideration a wide range of factors that are utilized in making compensation decisions including, but not limited to, skill sets, experience and training, licensure and certifications, qualifications and education, and other business and organizational needs. 

Bonus: This position is bonus eligible. 

Long-Term Incentive (LTI): This position is LTI eligible. 

Benefits: TMICC employees are eligible to participate in our benefits plan. Should the employee choose to participate, they can choose from a range of benefits to include, but is not limited to, health insurance (including prescription drug, dental, and vision coverage), retirement savings benefits, life insurance and disability benefits, parental leave, sick leave, paid vacation and holidays, as well as access to numerous voluntary benefits. Any coverages for health insurance and retirement benefits will be in accordance with the terms and conditions of the applicable plans and associated governing plan documents. 

#TMICC

------------------------------------

At Unilever, inclusion is at the heart of everything we do. We welcome applicants from all walks of life and are committed to creating an environment where everyone can thrive/succeed. All applicants will receive fair and respectful consideration, and we actively support the growth and development of every employee.

Unilever is an Equal Opportunity Employer/Protected Veterans/Persons with Disabilities.

For more information on your federal rights, please seeKnow Your Rights: Workplace Discrimination is Illegal

Employment is subject to verification of pre-screening tests, which may include drug screening, background check, credit check and DMV check.

If you are an individual with a disability in need of assistance at any time during our recruitment process, please contact us at NA.Accommodations@unilever.com. Please note: This email is reserved for individuals with disabilities in need of assistance and is not a means of inquiry about positions or application statuses. The Protected Veterans or Individuals with Disabilities AAP narratives are available for inspection by any employee or applicant for employment Monday through Friday during normal business hours at establishment.