Data Scientist Advisor

Provides expert leadership at the enterprise level related to vast quantities of data (including disparate data), enterprise analytics, statistical modeling, and initiatives and works on the leading edge of technology, tools, and methodology to ensure that FedEx is a leader in Business Intelligence. Leads lower level Data Scientists in descriptive, diagnostic, predictive, prescriptive and ensemble modeling, advanced statistical techniques, use of database tools and/or other approaches in quantitative analysis of complex business situations. Creates and implements solutions from initial concept to fully tested production and communicates results to a broad range of audiences. Expert in the use of all data types, statistical and quantitative analysis, explanatory and high- complexity predictive modeling and fact-based management to drive decision making. Leads cross functional projects and programs. Routinely works on multiple highly complex assignments concurrently.

Essential Functions

• Performs both qualitative analysis (e.g., content analysis, phenomenology, hypothesis testing, network analysis, sentiment analysis, and classification) and quantitative analysis (e.g., clustering regression, pattern recognition, descriptive and inferential statistics) on large data sets to understand trends and relationships between variables to gain predictive insights and drive business results.
• Designs and implements experiments to answer targeted questions, solve known issues and suggest/influence the direction of the business by effectively communicating with business partners and functional leaders to understand and prioritize key business challenges.
• Guides others in the collection of new data, refinement strategy, researches, tests, recommends, and implements improvements in the tools and techniques used by FedEx to manage and access data and information.
• Prioritizes problems so that the team works on the most valuable cases; leads investigations into multiple streams of data to solve complex business problems.
• Designs and implements reporting dashboards that track and visually communicate key business metrics and provide actionable insights.
• Identifies internal and external information sources, builds strong working relationships with subject matter experts and leadership within FedEx and the external marketplace.
• Act as primary author of whitepapers and will present various industry topics as it relates to Data Science at conferences.
• Collaborates with IT departments and communicates changes in industry trends and techniques to ensure the team is current with tools, knowledge and methods.
• Perform other duties as assigned.

Minimum Education

Bachelor's degree in a quantitative discipline required. A Master's degree in a related field may off set two years of the required experience.

Minimum Experience

Seven (7) years experience required in solving analytics problems through the application of data science techniques or work experience in measurement and analysis, quantitative business problem solving, solutions implementation, operations analysis, marketing analysis, simulation development and/or predictive analytics.

Experience should include using most of the following:

• Machine Learning Frameworks: SKLearn, XGBoost, TensorFlow, PyTorch, MLlib, and other core ML frameworks.
• Programming Languages: Python, Scala, R, C++, Java, and other modern languages.
• Data Tools and Frameworks: MLFlow, Databricks, Spark, Kafka, Hive, Hadoop, and others.
• Cloud Environments: Azure, AWS, etc.

• SQL (Structured Query Language).
• ETL (Extract-Transform-Load) concepts, query performance tuning and testing.
• Visualization tools such as Tableau, Spotfire, and Power BI.

Knowledge, Skills, and Abilities

Demonstrated superior analytical skills with diverse analytics, data types and statistical software and applications.

Outstanding interpersonal skills, written, and oral communication skill. Proven leadership skills.

Ability to design mathematical algorithms that employ predictive and machine learning models.

Ability to understand how new tools/methodology can be implemented to solve business problems.

Ability to read, analyze, and interpret common technical journals, reports, and related documents.

Ability to effectively present information to management, end users, co-workers, or vendors.

Ability to perform complex tasks with limited direction.

Proficient with MS office applications.

Preferred Qualifications: Proven experience applying statistical modeling, machine learning (NLP, clustering), & visualization to understand customer sentiment, perform segmentation, & interpret qualitative data (verbatims). Strong skills in data wrangling (SQL, Python/R) analysis, & experimental design. Strong communication & storytelling to convey complex findings to diverse audiences. Experience with customer feedback platforms & survey data. Ability to work independently & collaboratively within research/product teams

Pay Transparency: This compensation range is provided as a reasonable estimate of the current starting salary range for this role across all potential locations. If this opportunity includes multiple job levels, the range is a reasonable estimate of the current starting salary for the lowest level to the current starting salary of the highest level. Actual starting pay would be determined by experience relative to the job, market level, pay at the location for this job and other job-related factors permitted by law. An employee may be eligible for additional pay, premiums, or bonus potential. The Company offers eligible employees health, vision and dental insurance, retirement, and tuition reimbursement.

Pay: U.S. Pay Range: $8,007.29/month - $14,413.11/month

Additional Details: This position may be located anywhere within the United States excluding Alaska, Hawaii and US territories. Depending on your location, you may be required to work at a FedEx Campus location several times per week

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. Reasonable accommodations are available for qualified individuals with disabilities throughout the application process. Applicants who require reasonable accommodations in the application or hiring process should contact recruitmentsupport@fedex.com.

Applicants have rights under Federal Employment Laws:

• Equal Employment Opportunity is the Law
• EEO is the Law Supplement
• Pay Transparency Policy
• Family and Medical Leave Act (FMLA)
• Employee Polygraph Protection Act

E-Verify Program Participant: Federal Express Corporation participates in the Department of Homeland Security U.S. Citizenship and Immigration Services' E-Verify program (For U.S. applicants and employees only). Please click below to learn more about the E-Verify program:

• E-Verify Notice (bilingual)
• Right to Work Notice (English) / (Spanish)