Data Scientist

Are You Ready to Make It Happen at Mondelez International?

Join our Mission to Lead the Future of Snacking. Make It With Pride.

As a member of a cross functional team, you lead RDQ activities required to complete process design and process deployment for innovation, growth and cost optimization projects across multiple geographies with an emphasis on delivering the desired consumer experience.

How you will contribute

Working independently, you will lead technical work across multiple projects aligned with RDQ, marketing and manufacturing requirements, effectively communicating status and risks. You will also lead activities designed to generate appropriate process information using modelling and simulation, and pilot plant scale up and factory trials in accordance with good manufacturing practice and HACCP requirements. You will be involved with/lead process design and specifications, process scale-up and commissioning and will ensure the effective use of resources, including the use of external agencies. This position requires you to manage stakeholders and to influence decisions based on data analysis and interpretation of results; create and maintain accurate consumer centric process specifications; leverage connections to internal and external technical communities, and; create intellectual property that gives Mondelez International a competitive advantage.

What you will bring

A desire to drive your future and accelerate your career and the following experience and knowledge:

Process development and/or process deployment ideally in a fast-moving consumer goods environment

Leading project teams and influencing cross-functional teams

Planning and delivering on multiple priorities

Identifying complex technical or business problems and creating and implementing solutions

Understanding equipment design and manufacturing processes to support process specifications

Using technical data to influence stakeholders

Coaching and mentoring others in a process community

Being a constant champion for the consumer

Requirements

Must have:

Bachelor's or a master's degree in a quantitative discipline with prior experience in a data science role in a professional setting (3+ years)

Strong quantitative skillset with experience in statistics, machine learning, linear algebra.

A natural inclination toward applying analytical thinking to solve complex problems.

Knowledge/experience with programming languages including Python (preferred), R, SQL, etc.,

Experience with any web development libraries such as Flask, Dash, Streamlit, React etc

Prior experience with data visualization tools and libraries such as Power BI, Tableau, Matplotlib, Seaborn etc.,

Knowledge of machine learning techniques including regressions, tree-based models, clustering, neural networks, PCAs etc., with prior experience in utilizing them

Knowledge and experience in advanced probability and statistics concepts including, hypothesis testing, probability distributions, ANOVA, etc.

Good communication skills to promote cross-team collaboration.

Good to have:

Multilingual coding knowledge/experience: Java, JavaScript, C, C++, etc.

Experience using cloud computing platforms (Azure, AWS, GCP)

Experience with computer vision, signal processing methods, NLP, deep learning method

Hibryd: R&D Tech Center in Tlalnepantla, Mexico.

PLEASE ATTACH THE RESUME (CV) IN ENGLISH.