remote
Senior Scientist, Data Science - XPO
Data Scientist
Lead advanced analytics initiatives as a Senior Data Science Scientist, designing machine‑learning models, statistical solutions, and optimization algorithms to improve logistics operations and drive data‑centric decision making.
About the role
Key Responsibilities
- Design, develop, and deploy machine learning and statistical models that solve complex logistics and supply‑chain problems.
- Apply operations research techniques to create optimization and simulation tools for routing, scheduling, and resource allocation.
- Collaborate with engineering, product, and business teams to translate business requirements into data‑driven solutions.
- Conduct exploratory data analysis, feature engineering, and model validation using large‑scale datasets.
- Mentor junior data scientists and promote best practices in reproducible research and model governance.
Requirements
- Bachelor’s degree in a quantitative field (e.g., Computer Science, Statistics, Engineering) or equivalent experience.
- At least 2 years of professional experience in data science, operations research, or advanced analytics with a focus on AI‑driven solutions.
- Proficiency in Python and SQL, and hands‑on experience with machine learning libraries (e.g., scikit‑learn, TensorFlow, PyTorch).
- Strong background in statistical modeling, hypothesis testing, and experimental design.
- Demonstrated ability to communicate technical insights to non‑technical stakeholders and influence business decisions.
Skills
pythonmachine learningsql