Role : Senior/Associate Scientist, Data Science

GENERAL DESCRIPTION: The Data Scientist is responsible for designing and developing analytical experiments in a methodical manner, and regularly evaluate alternate models via various data science approaches to support strategic initiatives and ongoing business processes for XPO Logistics. This role works with leads, analysts, and data producers/consumers to understand requirements, develop technical solutions, and ensure the reliability and performance of the data solutions. This role will develop solutions that leverage, integrate with, and expand upon the company's Data Science & Engineering technologies and patterns. The Senior Data Scientist will also act as a mentor to junior data scientist to help maintain a sustainable analytics ecosystem.

ESSENTIAL DUTIES AND RESPONSIBILITIES

• Conceive and develop end-to-end solutions focused on Data Science and Engineering using Machine Learning & Deep Learning Algorithms, Statistical Concepts, Data modelling, Software Development, Cloud Computing, and Visualizations. 
• Troubleshoot 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 upstream and downstream IT and business teams to identify and document use cases, performance and capability requirements, and criteria for successful solution delivery. 
• Proactively generalize and share technical approaches and best practices 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.

SUPERVISORY RESPONSIBILITIES:

• This position has no direct supervisory responsibilities.

EDUCATION/EXPERIENCE:

• Minimum Required Education: Master's degree in Computer Science, MIS, Engineering, Econometrics, Finance, Business or related field.
• Minimum Required Experience: 2 – 6 years’ experience in delivering business solutions that rely on data science, data analytics, business intelligence, data warehousing, or similar domains.
  • Includes hands-on experience in delivering solutions in at least two of the following areas: Data Modeling, Data Integration, Data Analysis, SQL. And, 2-5 years hands-on experience in delivering solutions in at least two of the following areas: Data Science, Data Analysis, Geo Spatial, Finance, Econometrics, Cloud Computing, Big Data, and Database Management.
  • Advanced knowledge of IT software development methodologies and processes in an agile environment a plus.
• Transportation and logistics industry experience a plus.

CERTIFICATES AND LICENSES:

• Data Science specialization from Coursera, Udacity, and Data Camp etc. (preferred).

Technical Competencies

• Data Science Skills –
• Solid experience applying one or more of the following analytical methods: regression (preferably mixed models), data classification and reduction (e.g. 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.
• Solid technical database knowledge (Oracle, Hadoop, NoSQL, data modeling) and experience optimizing SQL queries on large data.
• Advanced Statistical theoretical and application experience.
• Proven Exploratory Data Analysis and Visualization experience using R or Python (Numpy, Pandas, Scipy, Plotly, Matplotlib)
• Analyze, summarize, and characterize large or small data sets with varying degrees of fidelity or quality, and identify and explain any insights or patterns within them
• Familiarity of core principles of data modeling and data warehousing
• Experience in handling 1000+ lines complex SQL codes to deliver complex data based solutions in both development and data analysis work.
• Disciplined approach to testing software and data, identifying data anomalies, and correcting both data errors and their root causes
• Awareness of trends, new approaches, and new tools available in the data science industry, and motivation to independently learn about, explore, and recommend their usage

Other Technical / Computer Skills 

• Ability to synthesize technology and business knowledge to deliver efficient solutions.
• Create and share standards, best practices, documentation and reference examples for data science, data warehouse, data integration/ETL systems, and end user reporting.
• Strong Fluency level user of Windows applications and Microsoft Office programs such as MS Project, Word, Excel and PowerPoint.
• Ability to quickly learn and achieve proficiency in new software applications and maintain thorough knowledge of internal company software applications applicable to position/business unit.