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 help our business react to changing business conditions with excellent data analysis. You will define the requirements, perform the analysis and identify patterns in large amounts of data.

How you will contribute

You will:

• Define requirements for analysis in a given business area and perform detailed analysis and identify trends defined in the requirements
• Identify patterns and help the business react to changing business conditions
• Perform root-cause analysis and interpret data
• Work with large amounts of data such as facts, figures, and mathematics/formulas and undertake analytical activities and delivers analysis outputs in accordance with customer needs and conforming to established standards
• Understand and be involved with aspects of the data science process
• As the investigator on the data science team, you will apply your knowledge of languages and pull data out of SQL databases, using Tableau/Power BI type tools, and producing basic data visualizations and reporting dashboards

What you will bring

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

• Knowledge of Microsoft Excel, Power BI, SQL,R, Python, SAS software, Google Analytics, Google Tag Manager, Tableau, Google AdWords, statistical software
• Moderate knowledge in math and statistical skills, strong business acumen, moderate computer science/coding skills
• Develop key performance indicators and create visualizations of the data
• Utilize business intelligence and analytics tool

More about this role

What you need to know about this position:

Wacam is seeking a talented and driven Data Scientist to join our growing team. In this role, you will leverage your strong analytical skills and technical expertise to develop and implement data-driven solutions that directly impact our business. You will work closely with various stakeholders to understand their needs, translate them into analytical problems, and deliver actionable insights. If you are passionate about data, possess a strong statistical foundation, and thrive in a collaborative environment, we encourage you to apply!

Key Responsibilities:

• Develop and implement statistical models, with a strong focus on Bayesian models and sales forecasting techniques.
• Conduct regression and causal inference analysis to understand key drivers and predict future outcomes.
• Utilize advanced Python programming skills to manipulate, analyze, and visualize large datasets. Collaborate with cross-functional teams (e.g., Sales, Marketing, Operations) to identify opportunities for data-driven optimization. Communicate complex analytical findings clearly and concisely to both technical and non-technical audiences.
• Contribute to the development of data science best practices and methodologies within the organization.
• Stay up-to-date with the latest advancements in data science and related fields.

Qualifications:

• Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Minimum of 3-5 years of experience in a Data Science role or related analytical field. Advanced proficiency in Python, including experience with relevant libraries such as NumPy, Pandas, Scikit-learn, etc.
• Solid understanding of statistical concepts, probability theory, and mathematical modeling. Proven experience with Bayesian modeling techniques. Experience in sales forecasting methodologies. Strong understanding of regression analysis and causal inference.
• Familiarity with Machine Learning methodologies (a plus, but not critical). English proficiency: B2 level or higher (written and spoken).
• Excellent communication and interpersonal skills, with the ability to effectively communicate with diverse stakeholders.
• Demonstrated ability to work both independently and collaboratively in a fast-paced environment.
• Strong problem-solving skills and a passion for using data to drive business decisions.

Bonus Points:

• Experience with cloud computing platforms (e.g., AWS, Azure, GCP).
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Experience with A/B testing and experimental design.

No Relocation support available

Business Unit Summary

Wacam is Mondelēz International’s Latin America presence with more the 1700 wonderful people proudly representing a diversity of cultures and nationalities. Wacam includes 13 countries: Colombia, Ecuador, Perú, Chile, Bolivia, Panamá, Costa Rica, Nicaragua, Honduras, Guatemela, El Salvador, República Dominicana, Puerto Rico. We make and distribute our global brands and local jewels such as Field, Club Social to over 190 million consumers. 

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.

At Mondelez International we work under a hybrid model, in which our offices at WACAM offer us a space for connection, collaboration and co-creation, with attendance being subject to the needs of the teams themselves and/or the business.

Where permitted by internal policies and local laws, new hires are required to be fully vaccinated with the COVID-19 vaccine as a condition of employment by their date of hire, unless they are granted a medical accommodation.

Job Type

Regular

Data Science

Analytics & Data Science