remote
Senior Data Scientist - Cargill
Data Scientist
Lead the development of advanced predictive and optimization models to drive supply‑chain decisions, leveraging Python, machine learning, and cloud analytics to deliver actionable insights for a global food and agriculture leader.
About the role
Key Responsibilities
- Design, build, and deploy scalable predictive and optimization models using Python and machine learning frameworks.
- Collaborate with cross‑functional teams to translate business challenges into data‑driven solutions.
- Extract, clean, and analyze large datasets from diverse sources, ensuring data quality and integrity.
- Implement model monitoring and performance tuning in an AWS cloud environment.
- Communicate findings and recommendations to stakeholders through clear visualizations and reports.
Requirements
- 5+ years of experience in data science or analytics, with a strong portfolio of production‑ready models.
- Proficiency in Python, SQL, and machine learning libraries (scikit‑learn, TensorFlow, PyTorch).
- Hands‑on experience with optimization techniques (linear programming, mixed‑integer programming).
- Solid understanding of cloud services, preferably AWS (S3, SageMaker, EC2).
- Excellent problem‑solving skills and ability to communicate complex concepts to non‑technical audiences.
Skills
pythonmachine learningdata analysissqlaws