Data Scientist Lead

Description

About FedEx Dataworks:   

Born out of FedEx, a pioneer that ships nearly 20 million packages a day and manages endless threads of information, FedEx Dataworks is an organization rooted in connecting the physical and digital sides of our network to meet today's needs and address tomorrow's challenges. 

We are creating opportunities for FedEx, our customers, and the world at large by: 

• Exploring and harnessing data to define and solve true problems 
• Removing barriers between data sets to create new avenues of insight 
• Building and iterating on solutions that generate value 
• Acting as a change agent to advance curiosity and performance 

At FedEx Dataworks, we are making supply chains work smarter for everyone.

Company Name: FedEx Dataworks, Inc.

Job Title: Data Scientist Lead

Location: 3630 Hacks Cross Rd., Memphis, TN 38125 (100% Remote)

Job Description: Takes ownership and responsibility over major data science initiatives. Advances Dataworks’ broad capabilities to use and deploy cutting edge data science and machine learning tools and methods in Dataworks projects, platforms and products. Simultaneously works to keep Dataworks on the leading edge by understanding and implementing the very latest and most sophisticated methods and tools for grappling with extremely large scale and complex problems. Leads modeling and development to support operations initiatives, strategic programs and new products/solutions, through the use of advanced descriptive, diagnostic, predictive, prescriptive and ensemble modeling, advanced statistical techniques, and complex mathematical modeling/tool development. Develops solutions supporting the movement of data and information assets following API-First / Service-Oriented Architecture principles. Leverages proficiency in ML Ops, CI/CD processes and machine learning / data engineering practices to ensure sustainable model development and provide recommendations on highly complex problems. Mentors less senior team members to drive results. Leads and works with cross-functional teams.

Qualifications: Master’s degree in Computer Science, Operations Research, Statistics, Applied Mathematics or related quantitative discipline plus 5 years of experience in the job offered or 5 years of work experience in applying data science (machine learning, artificial intelligence, statistical analysis), operations research (optimization, algorithms, mathematical modeling), and data analytics modeling to decrease cost, increase profitability, and improve customer experience. The employer will alternatively accept a Ph.D. in Computer Science, Operations Research, Statistics, Applied Mathematics or related quantitative discipline plus 2 years of experience in the job offered or 2 years of work experience in applying data science (machine learning, artificial intelligence, statistical analysis), operations research (optimization, algorithms, mathematical modeling), and data analytics modeling to decrease cost, increase profitability, and improve customer experience in lieu of a Master's degree plus 5 years of experience. The position requires experience with: Advanced SQL querying (including relational databases); Big Data Analysis (e,g. EDA, over 1 million rows); Python Data Science Tools (Basics, ML libraries, Deep Learning, GenAI and NLP); Visualization tools (at least 2, Spotfire, Power BI, Tableau, Seaborn); ML Ops including Versioning Control (e.g. Git, ADO); Cloud Platforms (Google Cloud or Azure); Model Tuning and Interpretation Techniques (e.g. PCR, Class Imbalance, SHAP); Predictive Maintenance Analytics Tools including, but not limited to sensor IoT data and condition-based monitoring. Extensive knowledge in advanced data science, statistical analysis, and machine learning methods, including the iterative development of analysis pipelines to provide insights at scale. Extensive experience conducting end-to-end analyses, including data gathering and requirements specification, processing, analysis and presentation. Strong familiarity with the transportation industry, competitors, and evolving technologies. Experience providing leadership in a general planning or consulting setting. Experience as a leader or a senior member of multi-functional project teams. Strong human relations, organizational / time management, project management, and software development skills. Excellent interpersonal skills and the ability to present and communicate effectively to executive audiences. May telecommute from home from any location in the U.S.

FedEx Dataworks is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Dataworks does not discriminate against qualified individuals with disabilities in regard to job application procedures, hiring, and other terms and conditions of employment. Further, Dataworks is prepared to make reasonable accommodations for the known physical or mental limitations of an otherwise qualified applicant or employee to enable the applicant or employee to be considered for the desired position, to perform the essential functions of the position in question, or to enjoy equal benefits and privileges of employment as are enjoyed by other similarly situated employees without disabilities, unless the accommodation will impose an undue hardship. If a reasonable accommodation is needed, please contact DataworksTalentAcquisition@corp.ds.fedex.com.