XPO is looking to drive data-driven decision-making and develop innovative analytical solutions to enhance operational efficiency, optimize logistics processes, and support strategic initiatives.
Requirements
- Proficiency in statistical modeling, data analytics, and visualization tools such as R and Python (including Numpy, Pandas, Scipy, Plotly, and Matplotlib)
- Deep understanding of various analytical methods—such as regression models, data classification, clustering, Bayesian inference, and machine learning
- Technical database knowledge, including experience with Oracle, NoSQL, data modeling, and SQL optimization
- Experience with cloud computing, big data, or database management
- Knowledge of geospatial analysis, finance, econometrics
- Certifications in data science from platforms like Coursera, Udacity, or Data Camp
- Experience with machine learning, deep learning, and AI
Responsibilities
- Developing and implementing comprehensive data science solutions utilizing machine learning, deep learning, and statistical models
- Analyzing complex datasets to uncover insights, optimize processes, and support strategic decision-making
- Troubleshooting technical issues within existing systems
- Collaborating with IT and business teams to gather requirements
- Designing and improving shared platform patterns, templates, and artifacts for data science development
- Adopting new technologies and methodologies
- Mentoring junior team members on technical skills, problem-solving approaches, and best practices
Other
- Bachelor's degree or equivalent related work or military experience
- Strong communication skills
- Proficiency in Microsoft Office and Windows applications
- Availability for periodic 24/7 on-call support
- Master’s degree in Computer Science, MIS, Engineering, Business, or related fields
