Data Scientist
Company Name:-
Mondelez International
Job Location:-
India
Job Summary:-
Job Description
Are You Ready to Make It Happen at Mondelez International?
Join our Mission to Lead the Future of Snacking.
Make It With Pride.
Together with analytics team leaders you will support our business with excellent data models to uncover trends that can drive long-term business results.
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 ML
A natural inclination
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