Job Description
Are You Ready to Make It Happen at Mondelēz International?
Join our Mission to Lead the Future of Snacking. Make It Possible.
Lead team to execute Business Intelligence & Insights projects to uncover trends that can drive long-term business results. Engage with leadership to understand business challenges and drive results.
How you will contribute:

• Support Director, Supply Chain Intelligence Organization in creation and communication of vision and strategy for MSC and Retail Sales D&A.; build the data science roadmap for the business.
• Ability to influence the business agenda and make recommendations to senior leaders to deliver strategic and operational initiative.
• Engage with business to understand business challenges, how users are approaching these challenges, and identify machine learning and artificial intelligence solutions that will support the decision-making process.
• Technical experience in roles in best-in-class advanced analytics practices, from development to productionization .
• Experience deploying new analytical approaches in a complex and highly matrixed organization.
• Savvy in usage of the advanced analytics techniques to create business impacts.
• Understanding of advanced analytics platforms/tools such as R/SAS, Python, Hadoop, Apache Spark, and familiarity querying databases

Key Responsibilities:

• Partner with business to execute the analytics agenda and prioritize highest value use cases.
• Identify and incubate best-in-class talent and supplement with external partners to drive delivery on strategic projects.
• Lead team that develops custom models/algorithms to uncover signals/patterns and trends to drive long- term business performance
• Coordinate with other technical/functional (MDS/CAT) teams to implement ML models and monitor results.
• Execute the business analytics program agenda using a methodical approach that conveys to stakeholders what advanced analytics will deliver.
• Evaluate the need for machine-learning techniques , assess the problems to be solved and what internal or external data sources to use or acquire.
• Manage reviews of the benefits and value of analytics techniques and tools and recommend improvements.
• Coach junior data scientist to develop forward- looking, predictive, real-time, model-based insights to create value and drive effective decision making

Technical Skills :

• Experience with tools like SQL, Python, Hive, GCP, Power BI, Tableau, DataBricks , etc.
• Advanced skills in Microsoft
• Experience with methodologies like Team Data Science Process (TDSP), CRIPS, MLOps etc.
• Technical Documentation

More about this role
Job specific requirements:
7+ years leading data science/analytics teams
5+ years in Supply Chain and Sales
5+ years of Project Management experience
Education / Certifications:
Bachelor's degree in a related field
BS or MS in Data Science & Analytics Preferred
Remote role within the USA.
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
The United States is the largest market in the Mondelēz International family with a significant employee and manufacturing footprint. Here, weproduce 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.
Job Type
Regular
Analytics & Modelling
Analytics & Data Science