Data Scientist - Sr. Data Scientist

Job Summary

Works as part of a team to employ scientific methods and data-discovery tools to find new patterns, insights, and relationships in big data; extract meaningful information from multiple large data sets and develop solutions that quickly and visually communicate results. Participates and collaborate in discussions across business and IT teams to understand data product needs.

Essential Functions

• Works as part of a team to perform advanced analytics, including predictive Machine Learning (classification and regression, supervised and unsupervised modeling), inferential statistics, hypothesis testing, and qualitative analysis on large data sets that include both structured and unstructured data to develop crucial business insights and communicate to the business in an understandable way.
• Work as part of a team to deploy machine learning models (with general understanding of data engineering and ML Ops)
• Designs and implements reporting dashboards and other visualizations that track and visually communicate key business metrics and provide actionable insights
• Participates in design sessions to implement experiments to answer targeted questions and solves known issues by actively engaging with business partners to understand key business challenges.
• Learn and become fluent working with and understand FedEx data
• Identifies internal and external information sources, builds effective working relationships with subject matter experts within FedEx and the external marketplace.
• Assists with knowledge transfer and training of business intelligence to the FedEx team as a subject matter expert; strongly influences the team by developing, institutionalizing and maintaining a data-driven analysis culture.

Nonessential functions

Performs other duties as assigned.

Minimum Education

• Bachelor’s degree in Data Science, Business Intelligence, Mathematics, Computer Science or similar quantitative degree with coursework in Advanced Analytics or Data Science required.

Minimum Experience

• No experience required but proficiency in at least one programming language, such as (SQL, Python, R, Java, or similar language) and one visualization tool/package such as (Spotfire, Tableau, Power BI, ShinyApp, Plotly, Matplotlib, Seaborn or similar tool) required.

Required Skills, Abilities and / or Licensure

• Proficient in at least one programming language, such as (SQL, Python, R, Java, etc.)
• Proficient in one visualization tools/packages, such as (Spotfire, Tableau, Power BI, ShinyApp, Plotly, Matplotlib, Seaborn)
• Exposure to relational database platforms, such as Teradata and Oracle.
• Exposure to Machine Learning modeling, including scripting and Machine Learning libraries in R, Python, or similar
• Exposure with Cloud platforms, including storage, querying, and advanced analytics (Azure, GCP, AWS).
• Understanding of statistics with exposure to linear algebra
• Ability to define problems, collect data, establish facts, and draw valid conclusions
• Ability to read, analyze, and interpret common technical journals, reports, and related documents
• Exposure to data modeling, ETL (Extract-Transform-Load) concepts, query performance tuning and testing
• Exposure to large datasets and the management of large data Experience data modeling, ETL (Extract-Transform-Load) concepts, query performance tuning and testing is a plus.
• Experience with visualization tools such as Tableau or Spotfire is a plus.
• Ability to effectively present information to management, end users, co-workers, or vendors.