o9 Global Data Science

-

-

-

A empresa Mondelēz International está contratando para o cargo de o9 Global Data Science em: São Paulo, SP | LinkedIn

-

Pular para conteúdo principal

o9 Global Data Science

Mondelēz International

São Paulo, SP

o9 Global Data Science

Mondelēz International

São Paulo, SP

Há 1 semana

Seja um dos 25 primeiros a se candidatar

Veja quem a Mondelēz International contratou para este cargo

Não aceita mais candidaturas

-

Denunciar esta vaga

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

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 requirements, ensuring consistency across all user groups. Also, you will establish and manage functional analytics methods, techniques and capabilities to enable the function to analyze data, generate insights, create value and drive decision making while you measure the progress of initiatives and market successes to the organization
• Assess the business