Job Location: Pennsylvania
Job Detail:
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
What you need to know about this position:
- Managing and delivering projects in terms of leadership
What extra ingredients you will bring:
Programming languages including R, Python, SQL, etc., to process data and gain insights from it
Education / Certifications:
Masters Degree preferred. Minimu of a bachelors degree
Job specific requirements:
5 years of experience in terms of managing projects
Travel requirements:
10% travel
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 office-based, salaried roles at Bakery and Customer Service & Logistics locations, and some remote roles proof of COVID-19 vaccination is required to be eligible for employment. Religious, medical and/or other accommodations as required by law will be considered on a case by case basis. You may review the Mondelēz COVID vaccination policy by visiting the US careers website at https://www.mondelezinternational.com/United-States . This COVID-19 vaccine mandate does not apply to several U.S. states that do not permit certain vaccination mandates, including, but not limited to Alabama, Arizona, Arkansas, Florida, Indiana, Montana, North Dakota, Tennessee, Texas, Utah, and West Virginia.
Job Type
Regular
Data Science
Analytics & Data Science
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