Job Information
Mondelez International Manager, Data Science in Santa Fé, Mexico
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 modelsto 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 solutionsand predictive models with existing systems, ensuring efficient and scalable implementation.
Interpretcomplex 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 storybehind the data and findings, utilizing strong visualization and communication skills to influence strategic decisions.
Actively collaborate withback-officeteams 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 ofMachine Learning models.
Strong knowledge andexperience in systems integrationwith Data Science solutions.
Proven ability tointerpretdata and analytical results.
Excellent capability totranslate technical concepts to businessand effectively communicate insights.
Demonstrated experience instorytellingwith data, presenting compelling findings to non-technical stakeholders.
Familiarity with collaborating and working closely withback-officeareas.
Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas, NumPy).
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
At Mondelēz International, our purpose is to empower people to snack right through offering the right snack, for the right moment, made the right way. That means delivering a broader range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about.
We have a rich portfolio of strong brands – both global and local. Including many household names such as Oreo, belVita and LU biscuits; Cadbury Dairy Milk, Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. We are proud to hold the number 1 position globally in biscuits, chocolate and candy as well as the No. 2 position in gum
Our 80,000 Makers and Bakers are located in our operations in more than 80 countries and are working to sell our products in over 150 countries around the world. They are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen, and happen fast.
Join us and Make It An Opportunity!
Mondelez Global LLC is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Applicants who require accommodation to participate in the job application process may contact 847-943-5460 for assistance.