Consumer Science Digital Leader (R&D)

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

What you need to know about this position:

This position is within R&D Consumer Science and you will be responsible for developing data science capability in consumer science. The objective is to increase our ability to model consumer human data to drive agile decision making and speed up path market with bold breakthrough innovations and unbeatable product superiority.

What extra ingredients you will bring:

You will have a data science background and will have an appreciation of the challenges of consumer (human) data variability and the breadth of data the Consumer Science team has.
You will want to make a significant impact in the greater RD&Q team to drive efficiencies and develop superior consumer models based on data.

Education / Certifications:

Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field.

Job specific requirements:

•   8-10 years of experience as a Data Scientist or similar role, with a strong track record of delivering impactful insights.

•    Proficiency in programming languages such as Python or R for data analysis and modeling.
•    Solid understanding of statistical modeling techniques and machine learning algorithms.
•    Experience with data visualization tools (e.g., Tableau, Power BI) to present findings effectively.
•    Strong problem-solving skills and the ability to work on multiple projects simultaneously.

Travel requirements:

Minimal

Work schedule:

As per country location requirement

For the US location, the base salary range for this position is $117,400 to $161,425; the exact salary depends on several factors such as experience, skills, education, and budget. In addition to base salary, this position is eligible for participation in a highly competitive bonus program with possibility for overachievement based on performance and company results.

 In addition, Mondelez International offers the following benefits: health insurance, wellness and family support programs, life and disability insurance, retirement savings plans, paid leave programs, education related programs, paid holidays and vacation time. Some of these benefits have eligibility requirements. Many of these benefits are subsidized or fully paid for by the company.

No Relocation support available

Business Unit Summary

The United States is the largest market in the Mondelēz International family with a significant employee and manufacturing footprint. Here, we produce our well-loved household favorites to provide our consumers with the right snack, at the right moment, made the right way. We have corporate offices, sales, manufacturing and distribution locations throughout the U.S. to ensure our iconic brands—including Oreo and  Chips Ahoy! cookies, Ritz, Wheat Thins and Triscuit crackers, and Swedish Fish and Sour Patch Kids confectionery products —are close at hand for our consumers across the country.  

Mondelēz 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.

For more information about your Federal rights, please see eeopost.pdf; EEO is the Law Poster Supplement; Pay Transparency Nondiscrimination Provision; Know Your Rights: Workplace Discrimination is Illegal

Job Type

Regular

Data Science

Analytics & Data Science