remoteonsite
Senior Data Scientist - Colgate Palmolive
Data Scientist
Lead advanced analytics initiatives, building predictive models and data pipelines using Python, SQL, and AWS to drive business insights across global markets.
About the role
Key Responsibilities
- Design, develop, and deploy machine learning models to solve complex business problems across product, marketing, and supply chain domains.
- Build and maintain scalable data pipelines and data warehouses on AWS, ensuring data quality and accessibility for analytics teams.
- Collaborate with cross‑functional stakeholders to translate business requirements into analytical solutions and actionable insights.
- Mentor junior data scientists and promote best practices in model validation, versioning, and reproducibility.
- Communicate findings through clear visualizations and executive‑level presentations.
Requirements
- 10+ years of experience in data science or analytics, with a strong track record of delivering production‑grade models.
- Proficiency in Python, SQL, and experience with AWS services such as S3, Redshift, SageMaker, or EMR.
- Deep knowledge of statistical modeling, machine learning algorithms, and model deployment pipelines.
- Excellent problem‑solving skills and ability to work in a fast‑paced, global environment.
- Strong communication skills and experience presenting complex analyses to non‑technical audiences.
Skills
pythonmachine learningsqlaws