Data Science Manager

Job Description

Are You Ready to Make It Happen at Mondelēz International

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

You will be crucial in supporting our business by creating valuable actionable insights about the data and communicating yourfindings to the business. You will work with various stakeholders to determine how to use business data for business solutions/insights.

How you will contribute

You will:

• Analyzeand derive value from data through the application methods suchas mathematics statisticscomputer science machine learning and this role you will also formulate hypotheses and test them usingmath statistics visualization andpredictivemodeling
• Understand business challenges create valuable actionable insights about the data and 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 discernedand by underscoring with other technical/functional teams to implement models and monitor results
• Apply mathematical statistical predictive modelling or machine-learning techniques and withsensitivity to the limitations of the techniques. Select acquire and integrate data for analysis. Develop datahypotheses and methods train and evaluate analytics models share insights and findings and continues toiterate with additional data
• Develop processes techniques and tools toanalyzeand monitor model performance while ensuring dataaccuracy
• Evaluate the need for analytics assess the problems to be solved and what internal or external data sourcesto use or acquire. Specify and apply appropriate mathematical statistical predictive modelling or machine-learning techniques toanalyzedata generate insights create value and support decision making
• Contribute to exploration and experimentation in data visualization and you will manage reviews of the benefits and value of analytics techniques and tools and recommend improvements

What you will bring

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

• Strong quantitative skillset with experience in statistics and linear algebra.
• A natural inclination toward solving complex problems
• Knowledge/experience with statistical programming languages including R Python SQL etc. toprocess data and gain insights from it
• Knowledge of machine learning techniques including decision-tree learning clustering artificialneural networks etc. and their pros and cons
• Knowledge and experience in advanced statistical techniques and concepts includingregression distribution properties statistical testing etc.
• Good communication skills to promote cross-team collaboration
• Multilingual coding knowledge/experience: Java JavaScript C C etc.
• Experience/knowledge in statistics and data mining techniques including random forestGLM/regression social network analysis text mining etc. Ability to use data visualization tools to showcase data for stakeholders

More about this role

What you need to know about this position:

Support optimize and ensure adherence to IBP and S&OE processes across the regions Business Units. Actively coordinating regional data consolidation monitoring BU compliance with established standards providing direct internal advisory and training and collaborating with cross-functional teams to drive continuous improvement in planning processes and tools.

Job specific requirements:

• 5 years of experience in Supply Chain Planning Demand Planning Supply Planning or IBP/S&OE roles.
• Practical experience participating in or supporting IBP/S&OE cycles within a corporate environment.
• Familiarity with process documentation standard operating procedures and training delivery.
• Experience working with planning systems (e.g. SAP APO SAP IBP o9 Kinaxis) and data analysis tools (e.g. Excel Power BI).
• Fluency in English is required for effective regional interaction.

Business Unit Summary

Wacam is Mondelēz Internationals Latin America presence with more the 1700 wonderful people proudly representing a diversity of cultures and nationalities. Wacam includes 13 countries: Colombia Ecuador Perú Chile Bolivia Panamá Costa Rica Nicaragua Honduras Guatemela El Salvador República Dominicana Puerto Rico. We make and distribute our global brands and local jewels such as Field Club Social to over 190 million consumers.

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.

At Mondelez International we work under a hybrid model in which our offices at WACAM offer us a space for connection collaboration and co-creation with attendance being subject to the needs of the teams themselves and/or the business.

Where permitted by internal policies and local laws new hires are required to be fully vaccinated with the COVID-19 vaccine as a condition of employment by their date of hire unless they are granted a medical accommodation.

Job Type