The Data Engineer will design, develop, and maintain scalable data pipelines, implement and optimize distributed data processing solutions, and collaborate with data scientists to operationalize ML models while ensuring data quality and reliability.

The Principal Data Scientist will lead analytics efforts in the Marketing analytics team for the CPG sector. Responsibilities include developing actionable insights, working on Market Mix Modeling, engaging with clients to translate business questions into data models, and driving innovative solutions. The role requires strong communication and analytical skills, as well as hands-on experience with various data analytics tools.

The role involves leading teams to create data-driven solutions using data science and analytics. Responsibilities include extracting and organizing data, developing predictive models, facilitating discussions with stakeholders, and ensuring high-quality results. Candidates should have extensive experience in data science, supply chain analytics, and familiarity with analytics tools and methodologies.