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Senior Data Scientist - Global Team - John Deere
Data Scientist
Lead advanced analytics projects for a global team, leveraging Python, machine learning, and AWS to transform large datasets into actionable insights that drive business decisions.
About the role
Key Responsibilities
- Design, develop, and deploy end‑to‑end machine learning models to solve complex business problems across multiple domains.
- Extract, clean, and transform large volumes of structured and unstructured data using SQL and Python.
- Collaborate with cross‑functional teams to define data requirements, validate results, and translate findings into strategic recommendations.
- Maintain and optimize data pipelines on AWS (S3, Redshift, Glue) ensuring scalability and reliability.
- Document methodologies, model performance, and best practices for reproducibility and knowledge sharing.
Requirements
- 5+ years of experience in data science or analytics roles.
- Proficiency in Python, SQL, and experience with ML libraries (scikit‑learn, TensorFlow, PyTorch).
- Strong statistical background and experience with model evaluation, feature engineering, and hyperparameter tuning.
- Hands‑on experience with AWS services for data storage, processing, and deployment.
- Excellent communication skills and ability to present complex insights to non‑technical stakeholders.
Skills
pythonmachine learningsqlawsdata analysis