Mondelēz International | Hiring | Sr. Data Scientist – Forecasting | Bharat | BigDataKB.com | 30 Sept 2022

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Job Location: Bharat

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.

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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:

  • Work in close partnership with the business leadership team to execute the analytics agenda
  • Identify and incubate best-in-class external partners to drive delivery on strategic projects
  • Develop custom models/algorithms to uncover signals/patterns and trends to drive long-term business performance
  • Execute the business analytics program agenda using a methodical approach that conveys to stakeholders what business analytics will deliver

What you will bring

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

  • Using data analysis to make recommendations to senior leaders
  • Technical experience in roles in best-in-class analytics practices
  • Experience deploying new analytical approaches in a complex and highly matrixed organization
  • Savvy in usage of the analytics techniques to create business impacts

More about this role

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
  • 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 cloud platforms and you will manage reviews of the benefits and value of analytics techniques and tools and recommend improvements

What you need to know about this position:

The Data Scientist forecasting will be responsible for implementing and sustaining advanced forecasting methodologies for demand forecasting to generate better forecasting results in terms of accuracy and bias

  • Determine, create and maintain the best Statistical models be to be used, by considering SKU demand behavior using segmentation strategy, to generate high quality demand statistical forecast with low forecast error and bias
  • Support /Drive Advance Stats forecasting Implementation for market for demand modelling in Databricks with Apache Spark .
  • Collaborate with Demand Planners to identify right drivers and lever which influences demand and thus incorporate in statistical forecasting process
  • Analyze the model performance every month / week (Where MAPE is deteriorating etc) and post process the output and if required finetune the output
  • Derive continuous improvement opportunities (incorporate them in test env. trial and move to production in consultation with BU, System Admin)
  • Propose additional data elements which we can consume and work with ETL developer to get those into Google Big Query
  • Run demand-supply segmentation analysis as per defined frequency

What extra ingredients you will bring:

Education / Certifications:

Job specific requirements:

Candidate should be well verse in all recent forecasting techniques like Random Forest, XgBoost, FBProphet, Greykite, MLR, ARIMAX, LSTM, etc. including various AutoML on different tools.

Should have understanding of ML Explainable models like SHAP, LIME, etc.

Should be comfortable in working DataBricks/Datarobot, Apache Spark, R, Python or any other similar programming language.

Should be familiar with other tools like PowerBI, Tableau, Alteryx, SAP APO, etc. (not mandatory)

Should have knowledge of hosting solution on any cloud platform.

Travel requirements:

Work schedule:

Within Country Relocation support available and for candidates voluntarily moving internationally some minimal support is offered through our Volunteer International Transfer Policy

Business Unit Summary

Headquartered in Singapore, Mondelēz International’s Asia, Middle East and Africa (AMEA) region is comprised of six business units, has more than 21,000 employees and operates in more than 27 countries including Australia, China, Indonesia, Ghana, India, Japan, Malaysia, New Zealand, Nigeria, Philippines, Saudi Arabia, South Africa, Thailand, United Arab Emirates and Vietnam. Seventy-six nationalities work across a network of more than 35 manufacturing plants, three global research and development technical centers and in offices stretching from Auckland, New Zealand to Casablanca, Morocco. Mondelēz International in the AMEA region is the proud maker of global and local iconic brands such as Oreo and belVita biscuits, Kinh Do mooncakes, Cadbury, Cadbury Dairy Milk and Milka chocolate, Halls candy, Stride gum, Tang powdered beverage and Philadelphia cheese. We are also proud to be named a Top Employer in many of our markets.

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

Analytics & Modelling

Analytics & Data Science

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