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Über
Job Description Provide expertise and leadership at the enterprise level related to vast quantities of data (including disparate data), enterprise analytics, statistical modeling, and initiatives. Lead staff in descriptive, predictive, prescriptive and ensemble modeling, advanced statistical techniques, use of database tools and/or other approaches in quantitative analysis of complex business situations. Create and execute solutions from initial concept to fully tested production and communicate results to a broad range of audiences. Advanced use of current and emerging technologies to evaluate trends and develop actionable insights and recommendations to management, via understanding of the business model and the information available for analysis. Use data, statistical and quantitative analysis, explanatory and high‑complexity predictive modeling and fact‑based management to drive decision‑making. Mentors less senior staff. Lead cross‑functional teams. Routinely work on multiple highly complex assignments. Provide consultation to Sr. Leadership on a normal basis.
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 skill. Proven leadership skills.
Minimum Education Bachelor’s degree in a quantitative discipline required. A Master’s degree in a related field may offset two years of the required experience. Related experience may offset degree requirements and related education/degree may offset experience requirements.
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.
Skills and Knowledge Considered a Plus
Experience in cloud platforms like Google Cloud Platform, MS Azure.
Experienced in one of these languages – Python, Scala, Java.
Strong working experience in SQL, Big data technologies and UNIX based environments.
Experience with one or more of the following: Hadoop, Splunk, Hive, NoSQL, Spark, Hive, Kafka, Graph Database technologies.
Demonstrated skill at data cleansing, data quality assessment, and using analytics for data assessment.
Understanding of Statistical Modeling, machine learning and AI algorithms.
Domicile Location Collierville, TN
Remote Work This position can also be domiciled anywhere within the United States based on business needs.
Relocation Relocation assistance may be provided based on business needs.
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.
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 - $18,149.85/month.
EEO Statement Federal Express Corporation is an Equal Opportunity Employer including, Vets/Disability.
Reasonable Accommodations 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.
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Sprachkenntnisse
- English
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