Jr. Data Scientist

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Job Information

Mondelez International

Jr. Data Scientist

in

Trenton

New Jersey

Are You Ready to Make It Happen at Mondelēz International?

Join our mission to change the way the world snacks. Make It With Pride.

You will:

Apply advanced data science tools and techniques to provide actionable recommendations to our business domains

Analyze and derive value from data through the application of data science methods such as statistics, machine learning, computer science, and advanced data visualization.

Understand business challenges, create valuable actionable insight s about the data, and effectively 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.

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. experimentation, and development of data solutions and you will manage reviews of the benefits and value of analytics techniques and tools and recommend improvements.

In this role you will also formulate hypotheses and test them using math, statistics, visualization and predictive modeling

Challenge the status quo and drive data backed decision making

What you will bring

A desire to drive your future and accelerate your career and the following experience and knowledge:

Strong quantitative skillset with strong proficiency in most areas of data science methods, machine learning, statistical analysis, and statistical model validation and implementation.

Knowledge/experience with statistical programming languages including R, Python, SQL, etc., to process data effectively and gain insights from it

-Knowledge and experience in advanced statistical techniques and concepts including, regression, forecasting, segmentation, statistical testing, A/B testing etc.

Knowledge of machine learning techniques including decision-tree learning, clustering, classification, NLP, artificial neural networks, etc.,

Good communication skills to promote cross-team collaboration

Should be able to articulate data science outcomes in a way that business stakeholders can understand.

Ability to use data visualization tools to showcase data insights for business partners

Passion for problem solving and comfort with ambiguity

Preferred:

Supply Chain experience (e.g. demand forecasting, allocation, network optimization, order management, etc.)

Some knowledge of mathematical optimization and simulation

More about this role

What you need to know about this position:

-Salary range is 85 K-97 K

-Position is hybrid (for right candidate can be remote)

Job specific requirements:

Inform & execute the Data science and advanced analytics agenda

Design, develop and deliver a scalable set of tools to unlock new insights, data exploration opportunities and analytics experience for our business partners.

Prototype applications and services that assist in automating or providing greater visibility into a range of operational processes.

Drive best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation

Use analytics tools and practices to uncover signals/patterns and trends in order to drive long-term business performance

Leverage root-cause analysis to drive operational excellence across business domains: Supply Chain, Retail Sales, and Finance.

Lead data literacy initiative by training teams on data tools and coaching stakeholders on how to understand and interpret data, reports, alerts

Mentor and guide junior members

Partner with technology organization MDS to commercialize solutions, enhance data management, and develop analytical capabilities

Partner with PMO organization to drive project completion within scope, time, and budget

What extra ingredients you will bring:

Google Cloud (GCP), Databricks, SQL, and Supply Chain experience highly preferred

Experience in any Data Science language like Python, or R

Knowledge and experience in data science cloud platforms like Databricks

Knowledge and experience in analytics in Google Cloud GCP, using BigQuery and SQL

Knowledge and experience with data visualization software: Tableau, Power BI, and other python - R visualization libraries

Education / Certifications:

Master's Degree is required, PhD preferred.

1 years applied knowledge of predictive techniques using statistics, machine learning, and operations research approaches.

Travel requirements:

Less than 10%

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.

Company info

Mondelez International
Website : https://www.mondelezinternational.com