Job Description

Are You Ready to Make It Happen at Mondelēz International?

Join our mission to change the way the world snacks. Make It With Pride.

How you will contribute

You will:

• Apply advanced data science tools and techniques to provide actionable recommendations to our business domains

• Analyze and derive value from data through the application of data science methods such as statistics, machine learning, computer science, and advanced data visualization.

• Understand business challenges, create valuable actionable insight s about the data, and effectively communicate your findings to the business. After that you will work with stakeholders to determine how to use business data for business solutions/insights

• Enable data-driven decision making by creating custom models or prototypes from trends or patterns discerned and by underscoring implications. Coordinate with other technical/functional teams to implement models and monitor results.

• Evaluate the need for analytics, assess the problems to be solved and what internal or external data sources to use or acquire.

• Specify and apply appropriate mathematical, statistical, predictive modelling or machine-learning techniques to analyze data, generate insights, create value and support decision making

• Contribute to exploration. experimentation, and development of data solutions and you will manage reviews of the benefits and value of analytics techniques and tools and recommend improvements.

• In this role you will also formulate hypotheses and test them using math, statistics, visualization and predictive modeling

• Challenge the status quo and drive data backed decision making

What you will bring

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

• Strong quantitative skillset with strong proficiency in most areas of data science methods, machine learning, statistical analysis, and statistical model validation and implementation.

• Knowledge/experience with statistical programming languages including R, Python, SQL, etc., to process data effectively and gain insights from it

• Knowledge and experience in advanced statistical techniques and concepts including, regression, forecasting, segmentation, statistical testing, A/B testing etc.

• Knowledge of machine learning techniques including decision-tree learning, clustering, classification, NLP, artificial neural networks, etc.,

• Good communication skills to promote cross-team collaboration

• Should be able to articulate data science outcomes in a way that business stakeholders can understand.

• Ability to use data visualization tools to showcase data insights for business partners

• Passion for problem solving and comfort with ambiguity

Preferred:

• Supply Chain experience (e.g. demand forecasting, allocation, network optimization, order management, etc.)

• Some knowledge of mathematical optimization and simulation techniques

More about this role

What you need to know about this position:

Education / Certifications:

Bachelor's Degree in Computer Science, Statistics, Engineering or related discipline is required.

Preferred: Master’s degree in data science, Computer Science, Engineering, Analytics, Operations Research, Statistics, or related analytical field.

1+ years applied knowledge of predictive techniques using statistics, machine learning, and operations research approaches.

Experience in any Data Science language like Python, or R

Knowledge and experience in data science cloud platforms like Databricks

Knowledge and experience in analytics in Google Cloud GCP, using BigQuery and SQL

Knowledge and experience with data visualization software: Tableau, Power BI, and other python - R visualization libraries

Job specific requirements:

• Inform & execute the Data science and advanced analytics agenda
• Design, develop and deliver a scalable set of tools to unlock new insights, data exploration opportunities and analytics experience for our business partners.
• Prototype applications and services that assist in automating or providing greater visibility into a range of operational processes.
• Drive best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
• Use analytics tools and practices to uncover signals/patterns and trends in order to drive long-term business performance
• Leverage root-cause analysis to drive operational excellence across business domains: Supply Chain, Retail Sales, and Finance.
• Lead data literacy initiative by training teams on data tools and coaching stakeholders on how to understand and interpret data, reports, alerts
• Mentor and guide junior members
• Partner with technology organization MDS to commercialize solutions, enhance data management, and develop analytical capabilities
• Partner with PMO organization to drive project completion within scope, time, and budget

Travel requirements:

Up to 10%

Work schedule:

Hybrid

No Relocation support available

Business Unit Summary

The United States is the largest market in the Mondelēz International family with a significant employee and manufacturing footprint. Here, we produce our well-loved 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 brands—including 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.

Mondelēz 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.

For office-based, salaried roles at Bakery and Customer Service & Logistics locations, and some remote roles proof of COVID-19 vaccination is required to be eligible for employment. Religious, medical and/or other accommodations as required by law will be considered on a case by case basis. You may review the Mondelēz COVID vaccination policy by visiting the US careers website at https://www.mondelezinternational.com/United-States . This COVID-19 vaccine mandate does not apply to several U.S. states that do not permit certain vaccination mandates, including, but not limited to Alabama, Arizona, Arkansas, Florida, Indiana, Montana, North Dakota, Tennessee, Texas, Utah, and West Virginia.

Job Type

Regular

Data Science

Analytics & Data Science