Mondelēz International

Growth Analytics Data Scientist

Mondelēz International

full-time

Posted on:

Location Type: Hybrid

Location: Bogota • 🇨🇴 Colombia

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Job Level

Mid-LevelSenior

Tech Stack

AWSAzureCloudGoogle Cloud PlatformNumpyPandasPythonReactScikit-LearnTableau

About the role

  • 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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data analysisstatistical modelingBayesian modelssales forecastingregression analysiscausal inferencePythonNumPyPandasScikit-learn
Soft skills
communication skillsinterpersonal skillsproblem-solving skillscollaborationindependenceadaptabilityanalytical thinkingattention to detailstakeholder engagementdata-driven decision making