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.
You will help our business react to changing business conditions with excellent data analysis. You will define the requirements, perform the analysis and identify patterns in large amounts of data.
How you will contribute
You will:
- Define requirements for analysis in a given business area and perform detailed analysis and identify trends defined in the requirements
- Identify patterns and help the business react to changing business conditions
- Perform root-cause analysis and interpret data
- Work with large amounts of data such as facts, figures, and mathematics/formulas and undertake analytical activities and delivers analysis outputs in accordance with customer needs and conforming to established standards
- Understand and be involved with aspects of the data science process
- As the investigator on the data science team, you will apply your knowledge of languages and pull data out of SQL databases, using Tableau/Power BI type tools, and producing basic data visualizations and reporting dashboards
What you will bring
A desire to drive your future and accelerate your career and the following experience and knowledge:
- Knowledge of Microsoft Excel, Power BI, SQL,R, Python, SAS software, Google Analytics, Google Tag Manager, Tableau, Google AdWords, statistical software
- Moderate knowledge in math and statistical skills, strong business acumen, moderate computer science/coding skills
- Develop key performance indicators and create visualizations of the data
- Utilize business intelligence and analytics tool
Are You Ready to Make It Happen at Mondelēz International?
Join our Mission to Lead the Future of Snacking. Make It with Pride.
IN THIS ROLE
In this role, you will have the opportunity to contribute to developing a cutting-edge Commercial Reporting solution with AI and GenAI capabilities. You will play an instrumental part in building AI and GenAI solutions, harnessing large data sets from across the organization, and collaborating with cross-functional teams and stakeholders to meet business requirements.
WHAT THIS TEAM AND ROLE DOES
Our team is at the forefront of driving AI, data, and analytics in US Sales & Planning. As a Data Scientist within the Mondelez Digital Solutions team, you will work towards the following objectives:
- Utilize Analytical AI algorithms (e.g., linear regression, decision trees, boosted trees models) to automatically gather insights that will be presented in the commercial reporting solution of the company.
- Leverage anomaly detection algorithms (e.g., isolation forest) to identify anomalies within the data and generate alerts for the commercial reporting team.
- Leverage Large Language Models (LLMs) to build GenAI capabilities to help the commercial reporting team summarize the current state of the business and explain the why behind the numbers.
WHAT YOU WILL BRING
- Proficiency in designing and deploying Analytical AI solutions that drive actionable insights.
- Familiarity with the concepts and applications of GenAI in various domains, especially text generation.
- Dedication to translating complex data scenarios into tangible business strategies.
- Outstanding communication skills, excelling in breaking down intricate AI/ML concepts for a diverse audience.
JOB REQUIREMENTS
- Design, develop, and implement AI models to gather insights about customers, brands, categories and products for the commercial reporting team.
- Leverage GenAI models for generating innovative insights and improve the way reporting is done at Mondelez.
- Work collaboratively with multiple teams to ensure smooth implementation of the Analytical AI and GenAI capabilities into the company dashboard.
- Regularly update and refine the AI and GenAI solution with new data sources and features.
- Oversee the extraction, preparation, and utilization of large datasets required for model training, validation, and implementation, ensuring data quality and relevance.
- Maintain comprehensive documentation of AI models and GenAI solutions, their logic, and performance metrics.
- Regularly report on the tool's achievements, challenges, and suggested enhancements to senior management and relevant stakeholders.
SPECIFIC SKILLS AND EXPERIENCES
- Bachelor's degree in Information Systems/Technology, Computer Science, Analytics, or a related field.
- Strong analytical and critical thinking skills, with the ability to identify challenges and propose practical solutions.
- Proficient in handling large datasets using Python and SQL.
- Proficiency in data visualization tools (e.g., Tableau, PowerBI).
- Familiarity with cloud platforms (e.g., Google Cloud, Azure, Databricks) for deploying AI solutions.
- Experience with data preprocessing, cleaning, and ETL processes.
- Experience with Natural Language Processing (NLP) techniques.
- Knowledge of recent advancements and trends in GenAI, demonstrating a commitment to continuous learning in this rapidly evolving field.
- Basic understanding of the ethical implications of GenAI, including issues related to bias, fairness, and the use of synthetic data.
- Understanding of the consumer goods industry or Retail or similar industries.
GOOD TO HAVE SKILLS AND EXPERIENCES
- Working knowledge of syndicated data (e.g., Nielsen/IRI or other EPOS/Retail Sales data source.)
- Proficiency in using data containerization and orchestration tools to create and maintain complex data workflows.
- Experience with additional programming languages, such as PySpark and R.
- Experience with leveraging Large Language Models (LLMs) to build GenAI proof-of-concepts and/or solutions.
- Experience with Langchain or similar frameworks for building language applications.
Within Country Relocation support available and for candidates voluntarily moving internationally some minimal support is offered through our Volunteer International Transfer Policy
Business Unit Summary
At Mondelēz International, our purpose is to empower people to snack right by offering the right snack, for the right moment, made the right way. That means delivering a broad range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about.
We have a rich portfolio of strong brands globally and locally including many household names such as Oreo, belVita and LU biscuits; Cadbury Dairy Milk, Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. We are proud to hold the top position globally in biscuits, chocolate and candy and the second top position in gum.
Our 80,000 makers and bakers are located in more than 80 countries and we sell our products in over 150 countries around the world. Our people are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen-and happen fast.
Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
Job Type
Regular
Data Science
Analytics & Data Science
