onsite
Senior Data Scientist - Operational Research - Relay Technologies
Data Scientist
Lead advanced analytics and operational research initiatives, building predictive models and optimization algorithms to reduce delivery costs and improve logistics efficiency using Python, machine learning, and cloud platforms.
About the role
Key Responsibilities
- Design and implement large‑scale optimization models to improve routing, inventory placement, and fleet utilization.
- Develop and deploy machine‑learning pipelines for demand forecasting, cost prediction, and anomaly detection.
- Collaborate with product, engineering, and operations teams to translate business problems into data‑driven solutions.
- Analyze massive logistics datasets, perform statistical testing, and generate actionable insights for senior leadership.
- Mentor junior data scientists and promote best practices in code quality, reproducibility, and model monitoring.
Requirements
- 5+ years of experience in data science, operations research, or quantitative analytics, preferably in logistics or e‑commerce.
- Strong proficiency in Python (pandas, NumPy, scikit‑learn) and experience with optimization libraries such as Gurobi, CPLEX, or OR‑Tools.
- Solid foundation in statistical modeling, time‑series forecasting, and experimental design.
- Hands‑on experience with SQL and cloud platforms (AWS, S3, EC2, SageMaker) for data processing and model deployment.
- Excellent problem‑solving skills, ability to communicate complex results to non‑technical stakeholders, and a track record of delivering production‑grade solutions.
Skills
pythonmachine learningsqlaws