To develop data science solutions and improve data quality and integrity at XPO
Requirements
- Experience with statistical modeling, data analytics and visualization using R and Python (Numpy, Pandas, Scipy, Plotly, Matplotlib)
- Significant experience applying one or more analytical methods: regression (preferably mixed models), data classification and reduction (cluster, factor, principle components, decision trees), Bayesian inference or other advanced machine learning techniques
- Technical database knowledge (Oracle, NoSQL, data modeling) and experience optimizing SQL queries on large data
- Ability to write SQL fluently, recognize and correct inefficient or error-prone SQL, and perform test-driven validation of SQL queries and their results
- Proficiency in Microsoft Office and Windows applications
- Data Science specialization from Coursera, Udacity, Data Camp, etc.
Responsibilities
- Develop solutions focused on data science and engineering using deep learning algorithms, machine learning, statistical concepts, data modeling, software development and visualizations
- Solve technical issues in existing processes and current development work
- Understand and improve shared standard patterns, templates and artifacts for architecture, data science development approaches, data models and new technology adoption and rollout
- Generalize and share technical approaches and methodologies among other developers
- Help support data consumers to ensure they have reliable access to trusted data
Other
- Availability to work periodic 24/7 on-call support as required by the team’s rotation schedule
- Full health insurance benefits available on day one
- Life and disability insurance
- Bachelor’s degree or equivalent related work or military experience
