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Data Scientist Advisor

Job in Collierville, Shelby County, Tennessee, 38017, USA
Listing for: FedEx
Full Time position
Listed on 2025-12-31
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist
Job Description & How to Apply Below

Provide expert leadership at the enterprise level related to vast quantities of data (including disparate data), enterprise analytics, statistical modeling, and initiatives. Leads staff in advanced 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 use of current and emerging technologies to evaluate trends and develop actionable insights and recommendations to managements, via understanding of the business model and the information available for analysis. Expert use of all data types, statistical and quantitative analysis, explanatory and high-complexity predictive modeling and fact-based management to drive decision making. Mentors fewer senior staff. Leads cross-functional projects and programs.

Routinely works on multiple highly complex assignments concurrently.

Minimum Qualifications:
  • Master's degree or equivalent in a quantitative discipline required.
  • Seven (7) years work experience in measurement and analysis, quantitative business problem solving, solutions implementation, operations analysis, marketing analysis, simulation development and/or predictive analytics.
  • Demonstrated superior analytical skills with diverse analytics, data types and statistical software and applications.
  • Outstanding interpersonal skills, written, and oral communication skills.
  • Proven leadership skills.
  • PhD in a quantitative discipline or related field required plus 4 years of experience in the job offered or 4 years of work experience in measurement and analysis, quantitative business problem solving, solutions implementation, operations analysis, marketing analysis, simulation development and/or predictive analytics.
  • The employer will alternatively accept a Master’s degree or equivalent in a quantitative discipline or related field plus 7 years of experience in the job offered or 7 years of work experience in measurement and analysis, quantitative business problem solving, solutions implementation, operations analysis, marketing analysis, simulation development and/or predictive analytics.
  • The employer will also alternatively accept a Bachelor’s degree in a quantitative discipline required plus 9 years of experience in the job offered or 9 years of work experience in measurement and analysis, quantitative business problem solving, solutions implementation, operations analysis, marketing analysis, simulation development and/or predictive analytics.
  • Must have 3 years’ of experience with the following: data manipulation through queries in SQL/Teradata;
    Cloud server technology; LINUX/Windows; extract, load and transform data in Python programming language.
  • Demonstrated superior analytical skills with diverse analytics, data types and statistical software and applications. Outstanding interpersonal skills, written and oral communication skills. Proven leadership skills.

    Position allows for telecommuting from anywhere in the U.S.

    * Employer will accept one (1) year of directly related experience in lieu of one (1) year of education.*

    Additional Information

    Upload current copy of Resume (Microsoft Word or PDF format only) and answer job screening questionnaire by close of business (5:00pm CST) on the date below. If the date below is blank, there is no specified closing date for this requisition.

    About the company

    Motivated by goodwill and a hard work ethic, our team members deliver on the Fed Ex Purple Promise to make every Fed Ex experience outstanding. For these reasons, our company has continued to excel in the ranks of the most admired and reputable companies in the world.

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