1 Mondelez International Data Scientist Job

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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 A nalytical AI algorithms (e.g., linear regression, decision trees, boo sted 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 .

• Le verage 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 A I 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 tools achievements, challenges, and suggested enhancements to senior management and relevant stakeholders.

SPECIFIC SKILLS AND EXPERIENCES

• Bachelors degree in I nformation 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.