Mondelēz International
Analyst, Data Science, Data Analyst
Mondelēz International, East Hanover, New Jersey, us, 07936
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. Formulate business problems as data problems and work on solving them through systematic analysis, employing machine learning and data science methods wherever appropriate. 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, data visualization and other quantitative methods.Understand business challenges, create valuable actionable insights from data, and communicate your findings to the business, with an emphasis on enabling data-driven decision making. After that you will work with stakeholders to determine how to use business data for business solutions/insights.Apply mathematical, statistical, predictive modeling or machine learning techniques and with sensitivity to the limitations of the techniques. Develop proper hypothesis, problem formulation and evaluation methods to utilize machine learning and predictive models to generate solutions to problems.Build data products and deployable tools that incorporate data analysis, modeling outcomes, visualizations, data flow and automation.Take part in data cleaning and processing tasks wherever appropriate. Have an eye on continuously improving the data quality and enforcing data governance for long-term success. Select, gather and integrate data for analysis, evaluate the need for analytics, assess the problems to be solved and what internal or external data sources to use or acquire.Take ownership of new streams of data that we collect along with the stakeholders and bring healthy data practices for success of various work tracks. Educate stakeholders on healthy data practices and develop strategies and methods to bring efficiency in data collection and governance.Take part in the efforts to educate members of R&D on how to utilize data and modeling effectively and upskilling key members of various teams.
What You Will Bring
A desire to drive your future and accelerate your career and the following experience and knowledge:
Bachelors or a master’s degree in a quantitative discipline with prior experience in a data science role in a professional setting (3+ years).Strong quantitative skillset with experience in statistics, machine learning, linear algebra.A natural inclination toward applying analytical thinking to solve complex problems.Knowledge/experience with programming languages including Python (preferred), R, SQL, etc.Prior experience with data visualization tools and libraries such as Power BI, Tableau, Matplotlib, Seaborn etc.Knowledge of machine learning techniques including regressions, tree-based models, clustering, neural networks, PCAs etc., with prior experience in utilizing them.Knowledge and experience in advanced probability and statistics concepts including hypothesis testing, probability distributions, ANOVA, etc.Good communication skills to promote cross-team collaboration.
Will be great if you have:
Multilingual coding knowledge/experience: Java, JavaScript, C, C++, etc.Experience using cloud computing platforms (Azure, AWS, GCP).Experience with computer vision, signal processing methods, NLP, deep learning methods.Experience with any web development libraries such as Flask, Dash, Streamlit, React etc.
No Relocation support available
Business Unit Summary
At Mondelēz International, our purpose is to empower people to snack right by offering the right snack, for the right moment, made the right way. That means delivering a broad 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 globally and locally 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 top position globally in biscuits, chocolate and candy and the second top position in gum.
Our 80,000 makers and bakers are located in more than 80 countries and we sell our products in over 150 countries around the world. Our people 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.
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#J-18808-Ljbffr
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. Formulate business problems as data problems and work on solving them through systematic analysis, employing machine learning and data science methods wherever appropriate. 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, data visualization and other quantitative methods.Understand business challenges, create valuable actionable insights from data, and communicate your findings to the business, with an emphasis on enabling data-driven decision making. After that you will work with stakeholders to determine how to use business data for business solutions/insights.Apply mathematical, statistical, predictive modeling or machine learning techniques and with sensitivity to the limitations of the techniques. Develop proper hypothesis, problem formulation and evaluation methods to utilize machine learning and predictive models to generate solutions to problems.Build data products and deployable tools that incorporate data analysis, modeling outcomes, visualizations, data flow and automation.Take part in data cleaning and processing tasks wherever appropriate. Have an eye on continuously improving the data quality and enforcing data governance for long-term success. Select, gather and integrate data for analysis, evaluate the need for analytics, assess the problems to be solved and what internal or external data sources to use or acquire.Take ownership of new streams of data that we collect along with the stakeholders and bring healthy data practices for success of various work tracks. Educate stakeholders on healthy data practices and develop strategies and methods to bring efficiency in data collection and governance.Take part in the efforts to educate members of R&D on how to utilize data and modeling effectively and upskilling key members of various teams.
What You Will Bring
A desire to drive your future and accelerate your career and the following experience and knowledge:
Bachelors or a master’s degree in a quantitative discipline with prior experience in a data science role in a professional setting (3+ years).Strong quantitative skillset with experience in statistics, machine learning, linear algebra.A natural inclination toward applying analytical thinking to solve complex problems.Knowledge/experience with programming languages including Python (preferred), R, SQL, etc.Prior experience with data visualization tools and libraries such as Power BI, Tableau, Matplotlib, Seaborn etc.Knowledge of machine learning techniques including regressions, tree-based models, clustering, neural networks, PCAs etc., with prior experience in utilizing them.Knowledge and experience in advanced probability and statistics concepts including hypothesis testing, probability distributions, ANOVA, etc.Good communication skills to promote cross-team collaboration.
Will be great if you have:
Multilingual coding knowledge/experience: Java, JavaScript, C, C++, etc.Experience using cloud computing platforms (Azure, AWS, GCP).Experience with computer vision, signal processing methods, NLP, deep learning methods.Experience with any web development libraries such as Flask, Dash, Streamlit, React etc.
No Relocation support available
Business Unit Summary
At Mondelēz International, our purpose is to empower people to snack right by offering the right snack, for the right moment, made the right way. That means delivering a broad 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 globally and locally 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 top position globally in biscuits, chocolate and candy and the second top position in gum.
Our 80,000 makers and bakers are located in more than 80 countries and we sell our products in over 150 countries around the world. Our people 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.
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#J-18808-Ljbffr