Sr. Data Scientist
About The Position
Provides expertise and leadership at the enterprise level related to vast quantities of data (including disparate data), enterprise analytics, statistical modeling and initiatives. Leads 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. Creates and executes solutions form initial concept to fully tested production and communicates 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. Uses data, 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 teams. Routinely work on multiple highly complex assignments. Provides consultation to senior leadership on a normal basis. Performs other duties as assigned.
Requirements
- Bachelor's degree in data science, computer science, applied mathematics, data analytics, statistics or related quantitative field plus 5 years of experience in the job offered or 5 years of work experience in measurement and analysis, quantitative business problem solving, operations analysis, marketing analysis, simulation and/or predictive analytics.
- The employer will alternatively accept a Master's degree in data science, computer science, applied mathematics, data analytics, statistics or related quantitative field plus 3 years of experience in the job offered or 3 years of work experience in measurement and analysis, quantitative business problem solving, operations analysis, marketing analysis, simulation and/or predictive analytics in lieu of a Bachelor's degree plus 5 years of experience.
- Superior analytical skills with diverse analytics and statistical software and applications.
- Excellent interpersonal skills, written and oral communication skills.
- Proven leadership skills.
- Proven experience leading end-to-end data science projects from problem framing to model deployment and monitoring.
- Experience with MLOps practices and model deployment in production environments using Azure DevOps, GitHub Actions, or similar tools.
- Expertise in Service Oriented Architecture and Design Patterns.
- Prior experience collaborating with cross-functional teams including product, engineering, and business stakeholders.
- Capable of building Systems to handle millions of data using company standard tools.
- Legacy Modernization with State-of-the-Art Technology Stacks.
- Building ETL programs to support the business architecture using Informatica PowerCenter & Ab-Initio.
- Creating business reports on the data using company standard tools like SAS, TIBCO Spotfire, Power BI etc.
- Strong communication skills with the ability to present technical findings to non-technical audiences and senior leadership.
- This position will be hybrid in Memphis, TN and candidates must live within a 50- mile radius.
- This position is hybrid, meaning that employees will be required to work at a FedEx office location up to several times per week.
Responsibilities
- Provides expertise and leadership at the enterprise level related to vast quantities of data (including disparate data), enterprise analytics, statistical modeling and initiatives.
- Leads 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.
- Creates and executes solutions form initial concept to fully tested production and communicates 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.
- Uses data, 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 teams.
- Routinely work on multiple highly complex assignments.
- Provides consultation to senior leadership on a normal basis.
- Performs other duties as assigned.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
