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 data and communicating your findings to the business. You will work with various stakeholders to determine how to use business data for business solutions and insights. How You Will Contribute Analyze and derive value from data using mathematics, statistics, computer science, machine learning, and data visualization, formulating hypotheses and testing them. Understand business challenges, create actionable insights, and communicate findings to stakeholders. Enable data‑driven decision making by creating custom models, prototypes, and underscoring implications; coordinate with technical/functional teams to implement models and monitor results. Apply mathematical, statistical, predictive‑modeling or machine‑learning techniques, selecting and integrating data for analysis, training and evaluating analytics models, and iterating with additional data. Develop processes, techniques, and tools to analyze and monitor model performance while ensuring data accuracy. Evaluate analytics needs, assess problems, and choose appropriate techniques to generate insights and support decision making. Contribute to exploration and experimentation in data visualization, manage reviews of analytics benefits, and recommend improvements. What You Bring Strong quantitative skillset with experience in statistics and linear algebra. Natural inclination toward solving complex problems. Knowledge of statistical programming languages (R, Python, SQL, etc.) to process data and gain insights. Knowledge of machine‑learning techniques (decision trees, clustering, neural networks, etc.) and their pros and cons. Experience with advanced statistical techniques and concepts (regression, distribution properties, statistical testing, etc.). Good communication skills for cross‑team collaboration. Programming knowledge in Java, JavaScript, C, C++, etc. Experience in statistics and data mining techniques (random forest, GLM, social network analysis, text mining, etc.) and ability to use data‑visualization tools. More About This Role Design, develop, and implement robust machine‑learning models to optimize processes, predict trends, and enhance decision‑making. Conduct advanced data analysis to identify patterns, opportunities, and risks, ensuring greater accuracy and intelligence. Integrate data‑science solutions with existing systems for efficient and scalable implementation. Interpret complex model results, extract key insights, and provide actionable recommendations. Translate technical concepts into clear, understandable business language tailored to specific audiences. Tell the story behind data and findings using strong visualization and communication skills to influence strategic decisions. Collaborate with back‑office teams to understand needs, identify improvement areas, and develop data‑driven solutions that optimize operations. Evaluate, validate, and monitor model performance, 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 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 communicate insights effectively. Experience in storytelling with data, presenting compelling findings to non‑technical stakeholders. Familiarity with collaborating and working closely with back‑office areas. Proficiency in Python or R and relevant libraries (scikit‑learn, TensorFlow, PyTorch, Pandas, NumPy). Experience with SQL and/or NoSQL databases, and Big‑Data tools (Spark, Hadoop) is a plus. Strong analytical and problem‑solving skills. Job Specific Requirements Ability to work autonomously 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 proficiency. Work Schedule Full time Relocation Support No relocation support available Business Unit Summary Mondelez México has been in the country since 1927 and currently employs 6,000 people. Our portfolio includes iconic brands such as Trident, Oreo, Philadelphia, local jewels like Clorets and Bubbaloo. We are leaders in production of cream cheese, powdered beverages, and confections, and produce seven out of ten chewing gums in Mexico. Our growth is supported by world‑largest gums, candies and biscuits factories – Puebla Plant and Nuevo León HUB, and one of the 11 technology centers worldwide. We offer work‑life balance practices such as extended maternity leave, open spaces, remote work, and flexible hours. Equal Opportunity Employer Statement Mondelēz International is an equal‑opportunity employer. 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 RegularData ScienceAnalytics & Data Science #J-18808-Ljbffr