Job Title: Data Scientist Advisor
Job Requisition Number: RC162285
Memphis, Tennessee 38125
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 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 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 productive modeling and fact based management to drive decision making. Mentors less senior staff. Leads cross functional projects and programs. Routinely works on multiple highly complex assignments concurrently.
Master's degree or equivalent in a quantitative discipline required. seven (7) Year 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 skill. Proven leadership skills.
Skills that are a PLUS:
Extensive experience with delivering and enhancing Machine Learning applications.
Experience with ML Design, implementation, Data Analytics & predictive modeling.
Strong written and verbal communication skills.
Excellent ability to analyze, interpret, and communicate data and information in a clear and concise way to decision makers at all levels.
Strong hands on experience with Big Data technology stack Hadoop/MapReduce, Hive.
A strong background in data structures, algorithms and analysis of algorithm complexity.
Ability to quickly ramp up with AI, machine learning, deep learning, data mining, and/or data science; strong intellectual curiosity and passion about learning new technologies.
Application Criteria / Deadline:
To apply for this position please upload your current resume and complete online questionnaire by close of business day on Friday June, 21, 2019.
Want a career where you are empowered to make a difference? Want to work for a company that is environmentally responsible? Want to grow and develop on the job? If so, FedEx is the place for you! Every day FedEx delivers for its customers with transportation and business solutions. FedEx serves more than 220 countries and territories around the globe. We can serve this global network due to our outstanding team of FedEx employees. FedEx has over 400,000 talented employees who are tasked with making every FedEx experience outstanding. FedEx has been recognized on many different lists both for business success and for being a great employer.
Here are some of the recognitions FedEx has received from the past couple of years:
- FORTUNE “World’s Most Admired Companies” – 2016
- Corporate Responsibility Magazine “100 Best Corporate Citizens” – 2016
- InformationWeek “Elite 100” – 2016
- Women’s Business Enterprise National Council “America’s Top Corporations for Women’s Business Enterprises” - 2016
- Reputation Institute “World’s Most Reputable Companies” – 2015
- Black Enterprise “40 Best Companies For Diversity” – 2015
When 400,000 employees around the globe are all working together it is amazing what we can achieve! FedEx connects people and ideas. If you would like to make a difference on a global scale while receiving top notch benefits, competitive pay, and plenty of opportunities to develop, click ‘Apply’ and tell us more about yourself.
EEO Statement - FedEx is an equal opportunity/affirmative action employer (minorities/females/disability/veterans) that is committed to diversifying its workforce.