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You will be crucial in supporting our business by creating valuable, actionable insights about the data, and communicating your findings to the business. You will work with various stakeholders to determine how to use business data for business solutions/insights.
You will:
Lead the design and deployment of predictive and prescriptive models to improve key manufacturing KPIs — such as OEE, yield, quality, and energy efficiency.
Partner with plants and other stakeholders to develop AI/ML-based tools that proactively identify losses, risks, and improvement opportunities.
Build data pipelines and model automation frameworks to support continuous improvement and scalability across multiple plants.
Translate business problems into data science projects and ensure measurable operational impact. Create data storytelling dashboards and visual analytics in Power BI, Dash etc. to support line leadership and factory teams.
Develop and coach plant teams on data literacy, digital tool adoption, and analytic thinking.
Partner with the global digital community to share best practices and scale successful pilots.
Promote a culture of curiosity, innovation, and agile experimentation in factory teams.
Collaborate with Operations, Quality, and Engineering teams to embed data-driven problem solving in IL6S / TPM practices.
Use analytics to uncover root causes, prioritize improvement actions, and quantify the financial and operational benefits.
Support the AM, PM, and FI pillars through digital and analytical enablers that help eliminate chronic losses.
Ensure data science initiatives align with Operational Excellence (OpEx) frameworks and the MDLZ IL6S standards.
Act as the Digital Manufacturing Lead for the plant(s), driving digital maturity in line with MDLZ Digital Manufacturing Roadmap (across the IL6S pillars).
Introduce and scale digital solutions for shop-floor operations — IoT connectivity, digital performance boards, and mobile-first applications.
Champion the use of connected data systems, ensuring integration between plant digital ecosystems.
Evaluate and pilot new technologies such as computer vision, digital twins, and advanced process analytics to accelerate efficiency.
Develop and coach plant teams on data literacy, digital tool adoption, and analytic thinking.
Partner with the global digital community to share best practices and scale successful pilots.
Promote a culture of curiosity, innovation, and agile experimentation in factory teams.
A desire to drive your future and accelerate your career and the following experience and knowledge:
Strategic thinking and end-to-end process understanding
Data-driven decision making and storytelling
Change management and digital adoption leadership
Collaboration across functions and geographies
Passion for continuous improvement and sustainability
Master’s / bachelor’s degree in Engineering, Data Science, Statistics, or Industrial Management.
7+ years of experience in manufacturing analytics, operations excellence, or digital transformation roles.
Hands‑on experience with Python, Power BI, SQL, and manufacturing systems (MES, SCADA, SAP).
Good understanding of IL6S / TPM / Lean / Six Sigma methodologies.
Proven ability to lead cross-functional teams and translate analytical insights into business actions.
No Relocation support available
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 lifes 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.
Regular
Data Science
Analytics & Data Science
At Mondelēz International, our purpose is to empower people to snack right through offering the right snack, for the right moment, made the right way. That means delivering a broader range of delicious, high-quality snacks that nourish lifes moments, made with sustainable ingredients and packaging that consumers can feel good about.
We have a rich portfolio of strong brands – both global and local. 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 number 1 position globally in biscuits, chocolate and candy as well as the No. 2 position in gum
Our 80,000 Makers and Bakers are located in our operations in more than 80 countries and are working to sell our products in over 150 countries around the world. They 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.
Join us and Make It An Opportunity!
Mondelez 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.