Forecasting Data Scientist - Remote

Overview

The Forecasting Data Scientist at Mondelēz International will play a crucial role in supporting business decisions by creating actionable insights from data and collaborating with various stakeholders.

In Short

• Analyze data using mathematical and statistical techniques.
• Create actionable insights and communicate findings to stakeholders.
• Develop and refine predictive models for demand forecasting.
• Utilize statistical programming languages such as R and Python.
• Collaborate with cross-functional teams to implement models.
• Monitor model performance and ensure data accuracy.
• Lead continuous improvement projects for forecasting models.
• Manage data requirements and assist in data integration.
• Design and implement algorithms for predictive analysis.
• Work with cloud platforms like Databricks.

Requirements

• Bachelor's Degree required; Master's in a quantitative field preferred.
• 5+ years of experience in statistical modeling and machine learning.
• Strong skills in statistics, linear algebra, and problem-solving.
• Experience with data visualization tools.
• Knowledge of machine learning techniques and their applications.
• Good communication skills for cross-team collaboration.
• Proficiency in programming languages like Python, R, and SQL.
• Experience with data science cloud platforms.
• Ability to articulate complex data science outcomes to business stakeholders.
• Experience in FMCG, Food & Beverages, or Retail industries is a plus.

Benefits

• Opportunity for professional growth and development.
• Supportive work environment with a focus on collaboration.
• Involvement in innovative data science projects.
• Access to a diverse community of professionals.
• Relocation support available for qualified candidates.