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

We are looking a highly motivated and experienced Data Scientist to join our team. This pivotal role is essential for injecting much more intelligence and precision into our processes, both operational and strategic. The ideal candidate will have a strong background in Data Science and Machine Learning, the ability to interpret complex data, and, crucially, the skill to translate technical insights into business value, effectively telling this story to diverse audiences. You will work closely with internal teams, including back-office departments, to drive innovation and efficiency through data

What you need to know about this position:

• Design, develop, and implement robust Machine Learning models to optimize processes, predict trends, and enhance decision-making across the organization.

• Conduct advanced data analysis to identify patterns, opportunities, and risks, ensuring greater accuracy and intelligence in our operations.

• Integrate Data Science solutions and predictive models with existing systems, ensuring efficient and scalable implementation.

• Interpret complex model results and analyses, extracting key insights and actionable recommendations for the business.

• Translate complex technical concepts and analytical findings into clear, understandable business language, adapting communication to the specific audience.

• Tell the story behind the data and findings, utilizing strong visualization and communication skills to influence strategic decisions.

• Actively collaborate with back-office teams to understand their needs, identify areas for improvement, and develop data-driven solutions that optimize their operations.

• Evaluate, validate, and monitor the performance of implemented models, making continuous adjustments and improvements.

• Contribute to fostering a data-driven culture within the company.

Education / Certifications:

• Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or a related quantitative field.

• Demonstrable experience in Data Science, including the design, development, and implementation of Machine Learning models.

• Strong knowledge and experience in systems integration with Data Science solutions.

• Proven ability to interpret data and analytical results.

• Excellent capability to translate technical concepts to business and effectively communicate insights.

• Demonstrated experience in storytelling with data, presenting compelling findings to non-technical stakeholders.

• Familiarity with collaborating and working closely with back-office areas.

• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, Tensor Flow, Py Torch, Pandas, Num Py).

• Experience with SQL and/or NoSQL databases, and Big Data tools (e.g., Spark, Hadoop) is a plus.

• Strong analytical and problem-solving skills.

Job specific requirements:

• Ability to work autonomously and in a fast-paced environment.

• Proactive and curious mindset to explore new technologies and methodologies in Data Science.

• Excellent oral and written communication skills.

• Advanced English

Work schedule: Full time

No Relocation support available

Business Unit Summary

Mondelez México has been in the country since 1927 and currently employs 6,000 wonderful people. Our diverse portfolio includes iconic and mouth-watering global brands such as Trident, Oreo, Philadelphia, and local jewels like Clorets and Bubbaloo. We are leaders in the making of cream cheese, powdered beverages and confections—in fact, we make seven out of every 10 chewing gums consumed by Mexicans. Our growth is supported by our cutting-edge manufacturing facilities, such as our Puebla Plant and Nuevo León HUB, which are the largest gums, candies and biscuits factories in the world in terms of volume. You can buy are products in 900,000 places in Mexico. We are also home to one of the 11 technology centers Mondelez International has worldwide, a specialized gum and candy facility that places us at the forefront of innovation and development in the country and drives our purpose to lead the future of snacking. We are pioneers in the country in work-life balance practices such as extended maternity leave, open spaces, remote work and flexible working hours.

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

Data Science

Analytics & Data Science: