About this role
Analytics & Data Science
Global Supply Planning Data Science Manager
R-179425 | India (Remote)| 1 other location(s) available
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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:
· Solve OR/Optimization problems in Mondelēz Supply Chain using Python
· Educate the team on programmatic OR methods
· 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
More about this role
You will be a part of an analytical team not afraid to use Machine Learning or Computer Vision on Azure but also eager to learn business through less sophisticated methods.
What you will bring
A desire to drive your future and accelerate your career and the following experience and knowledge:
· o9 Solver knowledge is a big plus
· Proven record of OR skills through projects using Pyomo, PuLP
· Perfect understanding of OR problems and alternative ways of solving those
· Knowledge of OR notation languages like AMPL
· Proven record using different solvers available on the market including GUROBI
· 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, Pyt