Global Supply Planning Data Science Manager

Mondelez International; India; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

Mondelez International is seeking a data science professional to transform data into actionable insights that drive business decisions. You will work with stakeholders to define problems, build predictive models, and communicate results effectively.

You will apply statistics, machine learning, and data visualization to a variety of datasets, aiming to improve snacking business outcomes across markets. Travel may be required as part of global initiatives.

Qualifications

• Strong quantitative skillset with experience in statistics and linear algebra.
• Knowledge/experience with statistical programming languages including R, Python, SQL, etc.
• Knowledge of machine learning techniques including decision-tree learning, clustering, neural networks, etc.
• Experience/knowledge in statistics and data mining techniques including random forest, GLM/regression, text mining, etc.
• Ability to use data visualization tools to showcase data for stakeholders.

Responsibilities

• Analyze and derive value from data using mathematics, statistics,CS, ML and data visualization.
• Formulate hypotheses and test them using math, statistics, visualization and predictive modeling.
• Communicate findings to stakeholders to enable data-driven decisions.
• Develop models or prototypes from trends or patterns and monitor results.
• Collaborate with technical teams to implement models and monitor performance.

Skills

Quantitative analytics

Statistics & linear algebra

Problem solving

Data visualization

Communication

Multilingual coding knowledge

Machine learning

Data storytelling

Education

Bachelor's / Master's degree

Tools

R

Python

SQL

Java

JavaScript

C

C++

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 your findings 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: Analyze and derive value from data through the application methods such as mathematics, statistics, computer science, machine learning and data visualization. In this role you will also formulate hypotheses and test them using math, statistics, visualization and predictive modeling. 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 discerned and 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 with sensitivity to the limitations of the techniques. Select, acquire and integrate data for analysis. Develop data hypotheses and methods, train and evaluate analytics models, share insights and findings and continues to iterate with additional data. Develop processes, techniques, and tools to analyze and monitor model performance while ensuring data accuracy. 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 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., to process data and gain insights from it.
• Knowledge of machine learning techniques including decision-tree learning, clustering, artificial neural 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., to process data and gain insights from it.
• Knowledge of machine learning techniques including decision-tree learning, clustering, artificial neural 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

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 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.

Job Type

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 life's 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 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!