Hybrid Growth Analytics Data Scientist

at Mondelēz International

• Job title: Growth Analytics Data Scientist
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Azure, Cloud, Google Cloud Platform, Numpy, Pandas, Python, React, Scikit-Learn, Tableau
• Location requirements: Hybrid, Bogota, Colombia

About the role

• Data Scientist developing statistical models and data-driven solutions at Mondelēz International. Collaborating with stakeholders to drive insights and optimize business operations.

Responsibilities

• 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.
• 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.

Requirements

• 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.

Benefits

• No Relocation support available