Manager, Data Science - Business Analytics
Manager, Data Science - Business Analytics
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Job Description
Job Description
Are You Ready to Make It Happen at Mondelz 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 worlds best known snacking brands (Oreo Ritz Triscuit Tobleronethe 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.
Youll play a pivotal role in achieving this vision working at the intersection of data science and business strategy to solve realworld challenges from driving omnichannel growth to optimizing digital and brickandmortar execution. This is a highly visible role collaborating with other I&A members as well as cross functional teams to influence decisionmaking and shape our future strategy.
If you are an expert in advanced analytics and statistical techniques thrive in fastpaced 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 youll ensure analytics tools address critical business challenges. You will also foster datadriven decisionmaking across the organization.
This role requires a blend of deep technical expertise and the ability to communicate complex analytics effectively to both technical and nontechnical 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 forwardlooking predictive realtime modelbased 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 bestinclass digital and brickandmortar analytics capabilities to deliver holistic omnichannel 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 datadriven solutions.
- Collaborate with crossfunctional partners to influence decisionmaking.
- Deliver impactful presentations that clearly communicate analytics insights and recommendations to diverse audiences
What extra ingredients you will bring:
- Advanced degree (Masters 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.
- Treebased 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. kmeans) 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 FineTuning 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 crossfunctional stakeholders.
The base salary range for this position is $117400 to $161425; 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.
Business Unit Summary
The United States is the largest market in the Mondelz International family with a significant employee and manufacturing footprint. Here we produce our wellloved 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 brandsincluding 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.
Mondelz 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 contactfor assistance.
For more information about your Federal rights please see; EEO is the Law Poster Supplement; Pay Transparency Nondiscrimination Provision; Know Your Rights: Workplace Discrimination is Illegal
Job Type
RegularShopper InsightsInsightsRequired Experience:
Manager
Employment Type
Full-Time
