o9 Global Data Science

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 statisticscomputer science machine learning and 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 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 includingregression 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 forestGLM/regression social network analysis text mining etc. Ability to use data visualization tools to showcase data for stakeholders

More about this role

You will be a member of the Mondelēz Global o9 Data Science Team which is a global supply chain analytics organization and is responsible for all advanced statistical forecasting needs globally.

The main objective of the role is to improve Sales Forecast Accuracy its explainability and drive adoption of holistic forecasting.

Job Description

You will:

• You will work closely with Regional Data Science Teams located in US LA and India IT Team to set standards for tools platforms and infrastructure for demand forecasting
• Contribute to the creation and review of a cross-functional enterprise-wide approach and culture for analytics and contribute to the development of analytics policy standards and guidelines
• Build relationships with external experts and other advanced IT organizations to maintain knowledge of technological advancements and trends
• Manage the introduction and use of analytics to meet business requirementsensuring consistency across all user groups. Also you will establish and manage functional analytics methods techniques and capabilities to enable thefunctiontoanalyzedata generate insights create value and drive decision making while you measure the progressofinitiatives and market successes to the organization
• Assess the business problems to be solved and what internal or external data sources to use oracquire
• Identify and establish the veracity of the external sources of information that are relevant to theoperational needs of the enterprise
• Define business-oriented goals for initiative(s) and explain the initiative(s) to business managers
• 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. You will bring experience and knowledge in:

• Experience in working on Demand Planning related projects and programs
• Understanding of processes within Demand Planning that link to forecast generation and its consumption
• Strong experience in relevant areas including Data Science Data Analytics Big Data Cloud Computing Machine Learning (time can include relevant degree studies)
• At least 5 years of experience creating statistical/ML models on sales data including simulation and/or forecasting deep understanding of strategic decisions needed to be taken to create a good demand forecast and provide consistent explanation (XAI)
• Strong quantitative background in statistics and linear algebra as well as programming knowledge (Python)
• Hold a MSc/PhD in a Data Science field such as Mathematics Economics Business or a related field. Strong experience in forecasting segmentation and optimization algorithms
• Understanding of XAI methods and their application in real-life scenarios
• Familiarity generating dashboards and manipulating data visualization software KPIs/dimensions
• Experience in solving Supply Chain business problems through Data Science with focus on Demand Planning
• Very good experience in forecasting for large FMCG companies with deployment to production using advanced and scalable architectures
• Working knowledge of o9 is a big plus

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.