onsite
Principal Data Scientist I - RELX INC
Data Scientist
Lead advanced analytics and machine learning initiatives for aviation data, mentor a team of data scientists, and deliver high‑impact predictive solutions using Python, statistical modeling, and cloud platforms.
About the role
Key Responsibilities
- Design, develop, and deploy machine‑learning models that forecast aviation trends, demand, and operational risk.
- Lead end‑to‑end data science projects, from data acquisition and cleaning to model validation and production monitoring.
- Mentor and coach junior data scientists, establishing best practices, coding standards, and reproducible research workflows.
- Collaborate with product, engineering, and domain experts to translate business problems into analytical solutions.
- Implement scalable pipelines on cloud infrastructure (e.g., AWS) and ensure robust data governance and documentation.
Requirements
- Advanced degree (Ph.D. or Master’s) in Computer Science, Statistics, Applied Mathematics, or a related field.
- 5+ years of hands‑on experience building production‑grade machine‑learning models, preferably in aviation or transportation.
- Proficiency in Python (pandas, scikit‑learn, PyTorch/TensorFlow) and strong statistical modeling skills.
- Experience with cloud platforms (AWS), containerization, and CI/CD for data science workloads.
- Excellent communication skills and a proven track record of mentoring technical teams.
Skills
pythonmachine learningaws