Global Supply Planning Data Science Manager

Mondelēz International; United States; Remote; USD 100,000 - 165,000; Full time

Job summary

Mondelēz International seeks a data analytics professional to extract actionable insights from data, build predictive models, and communicate findings to diverse stakeholders. You will work across disciplines to translate business challenges into data-driven solutions and monitor model performance for continuous improvement.

The role emphasizes statististics, ML methods, and data visualization with a global snacks-focused business, travel as needed, and a strong emphasis on collaboration and

Qualifications

• Strong quantitative skillset with experience in statistics and linear algebra.
• Knowledge/experience with statistical programming languages including R, Python, SQL, etc.
• Experience/knowledge in statistics and data mining techniques including random forest, GLM/regression, text mining, etc.

Responsibilities

• Analyze data and derive value using mathematics, statistics, computer science, ML and datavisualization.
• Form hypotheses and test them using math, statistics, visualization and predictive modeling.
• Enable data-driven decisions by creating models or prototypes and coordinating with teams to implement results.
• Develop processes and tools to analyze and monitor model performance and data accuracy.
• Collaborate with stakeholders to determine data-driven business solutions/insights.
• Explore and evaluate analytics techniques and tools, recommending improvements.

Skills

Statistics

Linear algebra

Python

R

SQL

Machine learning

Data visualization

Communication

Java

JavaScript

C

C++

Data mining

Text mining

Education

Bachelor's / Master's degree

Tools

R

Python

SQL

Data visualization tools

Job description

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, statistics,computer science, machine learning and datavisualization. In 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 implications.Coordinate 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 including,regression, 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 forest,GLM/regression, social network analysis, text mining, etc. Ability to use data visualization tools to showcase data for stakeholders

More about this role

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 including,regression, 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 forest,GLM/regression, social network analysis, text mining, etc. Ability to use data visualization tools to showcase data for stakeholders

Education / Certifications: Bachelors /Master’s degree

Travel requirements: Travel might be required

No Relocation support available

Business Unit Summary

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 life’s 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 than80countries and we sell our products in over150countries 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.

Job Type

Regular

Data Science

Analytics & Data Science