Manager, Data Science - Business Analytics

Job Description
Are You Ready to Make It Happen at Mondelēz International?
Join our Mission to Lead the Future of Snacking. Make It With Pride.
Are you passionate about using Analytics to change how we do business by using new and emerging tools to drive growth? Are you an Analytics expert who wants to have an impact at a company home to some of the world's best known snacking brands (Oreo, Ritz, Triscuit, Toblerone...the list goes on)? Can you bring Data Science to life in a way that excites and engages key stakeholders?
If so, read on...
At Mondelez International, we empower our people to live fulfilling lives through meaningful career opportunities and a work environment that fosters personal and professional growth.
The US Insights & Analytics (I&A) Business Analytics team is redefining how we leverage data to create a paradigm shift in the way we do business. By investing in advanced AI/ML capabilities, we aim to build an analytics function that sets a high standard in the industry and serves as a core driver of our competitive advantage.
You'll play a pivotal role in achieving this vision, working at the intersection of data science and business strategy to solve real-world challenges, from driving omni-channel growth to optimizing digital and brick-and-mortar execution. This is a highly visible role, collaborating with other I&A members as well as cross functional teams to influence decision-making and shape our future strategy.
If you are an expert in advanced analytics and statistical techniques, thrive in fast-paced environments, and are ready to be part of transformative initiatives, this is the role for you.
Job Summary
As Manager, Data Science, you will manage the development of analytics products and deliver insights that directly impact business outcomes. You will focus on creating scalable, innovative solutions using A/B testing, clustering, and advanced machine learning techniques. Working closely with marketing and commercial teams, you'll ensure analytics tools address critical business challenges. You will also foster data-driven decision-making across the organization.
This role requires a blend of deep technical expertise and the ability to communicate complex analytics effectively to both technical and non-technical audiences.
Key Responsibilities

• Data Science and Technical:
  • Apply your expertise in analysis of data with high volumes, velocities, and variety, including structured data (e.g., sales transactions), unstructured data (e.g., social media text), and sensor data. In addition, you will develop forward-looking, predictive, real-time, model-based insights to create value and drive effective decision making
  • Develop predictive products leveraging machine learning methods
  • Have deep knowledge of statistical methodologies including but not limited to regression, classification, decision trees, random forests, and gradient boosting models.
  • Explore deep learning methods (preferred) to expand the scope of predictive capabilities.
  • Design and analyze A/B testing experiments to optimize business strategies.
  • Apply clustering techniques to segment customers, shoppers, and markets effectively.
  • Leverage syndicated data (e.g., NielsenIQ, IRI/Circana, 84.51, Spins) to address business challenges.
  • Experiment with AI/ML solutions to generate insights and address complex business challenges.
  • Build and implement best-in-class digital and brick-and-mortar analytics capabilities to deliver holistic omni-channel insights.
• Innovation & Scalability:
  • Create scalable, innovative processes to meet the needs of a dynamic business.
  • Leverage cloud platforms (Azure, Google Cloud) and big data ecosystems (e.g., Spark, Snowflake, Databricks) to manage and analyze large, complex datasets.
  • Develop interactive dashboards using Power BI to enhance insights delivery.
• Collaboration & Influence:
  • Partner with commercial teams to translate business needs into data-driven solutions.
  • Collaborate with cross-functional partners to influence decision-making.
  • Deliver impactful presentations that clearly communicate analytics insights and recommendations to diverse audiences

What extra ingredients you will bring:

• Advanced degree (Master's or Ph.D.) in Data Science, Statistics, Computer Science, or a related field.
• 2+ years of experience in relevant areas including Data Science, Data Analytics, Big Data, Cloud Computing, Machine Learning (time can include relevant degree studies)
• Proficiency in Python, R, SQL, and advanced Excel techniques.
• Deep understanding of statistical techniques, including:
  • Regression and Classification: linear regression, logistic regression, support vector machines.
  • Tree-based Methods: decision trees, random forests, gradient boosting models.
  • Neural Networks and Deep Learning: neural networks, deep learning methods.
  • Clustering and Other Techniques: clustering (e.g., k-means), and other unsupervised learning methods.
• High understanding of Databricks platform and Spark performance tuning
• Knowledge of Tableau or PowerBI for dashboard creation.
• Proven record of designing scalable Data Science solutions with expert understanding of architectural choices that need to be made
• Understanding of the GenAI landscape, concepts, and techniques (e.g., Prompt Engineering, LLMs, SLMs, Transformers, RAG, Vector Databases, Fine-Tuning, Transfer Learning, Model Distillation, and Explainable AI)
• Experience with big data tools and cloud platforms (Azure, Google Cloud).
• Communication Skills:
  • Strong verbal and written communication skills, with a proven ability to translate complex technical analyses into actionable business insights.
  • Strong presentation skills to engage cross-functional stakeholders.

The base salary range for this position is $117,400 to $161,425; the exact salary depends on several factors such as experience, skills, education, and budget. In addition to base salary, this position is eligible for participation in a highly competitive bonus program with possibility for overachievement based on performance and company results.
In addition, Mondelez International offers a variety of benefits to eligible employees, including health insurance coverage, wellness and family support programs, life and disability insurance, retirement savings plans, paid leave programs, education related programs, paid holidays and vacation time, and many others. Many of these benefits are subsidized or fully paid for by the company.
No Relocation support available
Business Unit Summary
The United States is the largest market in the Mondelēz International family with a significant employee and manufacturing footprint. Here, weproduce our well-loved household favorites to provide our consumers with the right snack, at the right moment, made the right way. We have corporate offices, sales, manufacturing and distribution locations throughout the U.S. to ensure our iconic brands-including Oreo and Chips Ahoy! cookies, Ritz, Wheat Thins and Triscuit crackers, and Swedish Fish and Sour Patch Kids confectionery products -are close at hand for our consumers across the country.
Mondelēz Global LLC is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Applicants who require accommodation to participate in the job application process may contact 847-943-5460 for assistance.
For more information about your Federal rights, please see eeopost.pdf; EEO is the Law Poster Supplement; Pay Transparency Nondiscrimination Provision; Know Your Rights: Workplace Discrimination is Illegal
Job Type
Regular
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