
Senior Scientist, Data Science - Hybrid
- Boston, MA
- $106,383-132,978 per year
- Permanent
- Full-time
- Bachelor’s degree or equivalent related work or military experience
- 2 years of hands-on experience in delivering solutions in at least two of the following: data science, data analysis, geospatial, finance, econometrics, cloud computing, big data and database management
- Experience with statistical modeling, data analytics and visualization using R and Python (Numpy, Pandas, Scipy, Plotly and 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
- Deep understanding of statistical modeling, machine learning, deep learning or data mining concepts, and a track record of solving problems with these methods
- 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
- Availability to work periodic 24/7 on-call support as required by the team’s rotation schedule
- Master's degree in Computer Science, MIS, Engineering, Business or a related field
- Data science specialization from Coursera, Udacity, Data Camp, etc.
- 5 years of experience in data science, or data analysis with a focus on advanced analytics, statistical modeling, machine learning, and AI
- 5 years of hands-on experience in delivering solutions in at least two of the following: data science, data analysis, geospatial, finance, econometrics, cloud computing, big data and database management
- Ability to quickly learn and achieve proficiency in new software applications
- Competitive compensation package
- Full health insurance benefits available on day one
- Life and disability insurance
- Earn up to 15 days of PTO over your first year
- 9 paid company holidays
- 401(k) option with company match
- Education assistance
- Opportunity to participate in a company incentive plan
- Conceive and develop end-to-end solutions focused on data science and engineering, using machine learning and deep learning algorithms, statistical concepts, data modeling, software development, cloud computing and visualizations
- Resolve technical issues in existing processes and current development work; solicit assistance from other roles and groups, and drive resolution to ensure the integrity of platform quality and project timelines
- Understand and improve shared standard patterns, templates and artifacts for data science platform architecture, data science development approaches, data models, new technology adoption and rollout
- Collaborate with IT and business teams to identify and document use cases, performance and capability requirements, and criteria for successful solution delivery
- Mentor other team members on technical skills, methodologies, problem solving approaches and standard patterns used at XPO
- Generalize and share technical approaches among other developers, and simplify and communicate completed work to broader audiences across the company
- Help support data consumers to ensure they have reliable access to trusted data