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Lead Data Scientist - Greyparrot
Data Scientist
Lead Data Scientist driving end‑to‑end data science solutions for waste analytics, leveraging Python, ML, SQL and AWS to transform raw waste data into actionable insights that accelerate recycling targets.
About the role
Key Responsibilities
- Design, develop and deploy scalable machine learning models to predict waste generation, recycling rates and material flows.
- Lead data engineering efforts: ingest, clean, and transform large volumes of heterogeneous waste data using SQL and Python.
- Collaborate with cross‑functional teams to define data requirements, build dashboards and deliver insights that inform policy and product decisions.
- Architect and maintain cloud‑based data pipelines on AWS, ensuring high availability, security and cost efficiency.
- Mentor junior data scientists and promote best practices in experimentation, version control and reproducible research.
Requirements
- 10+ years of experience in data science, with a proven track record of leading complex projects.
- Expertise in Python, SQL, and AWS services (S3, Redshift, SageMaker, Lambda).
- Strong background in statistical modeling, machine learning, and data engineering.
- Excellent communication skills and ability to translate technical findings into business impact.
- Passion for sustainability and experience working on environmental or waste‑management data is a plus.
Skills
pythonmachine learningsqlaws