Ops Research Scientist II

While this is a remote position, the successful candidate must reside within 50 miles of a Fed Ex Freight location within the continental US.

Responsible for formulating and applying sophisticated modeling and other advanced analytic methods using a computer to develop and interpret information that assists management with decision making, policy formulation, or other managerial functions;
Concentrate on collecting, cleansing and analyzing data, developing decision support software and producing actionable information for decision making

• Identify business opportunities or expand ideas obtained from management in order to conceptualize and define and model operational problems to assess feasibility and impact
• Identify performance improvement opportunities via data analysis and develop decision support tools to ensure most cost conscience, efficient use of company resources that supports service objectives
• Develop concepts into business plans utilizing appropriate research techniques, methodologies, and experience and present them to senior management with recommendation for implementation
• Develop and implement data collection systems from primary and secondary sources and other strategies that optimize statistical efficiency and data quality
• Identify, analyze, interpret and visualize trends or patterns in complex data sets
• Evaluate alternative systems or transportation networks employing financial, computer, geographic or operational models as appropriate
• Research cutting edge technologies in support of the “best practices” in any transportation or network related question
• Provide project support or individually design and develop models for testing, validation and evaluation of strategic proposals
• Utilize multi-media presentations and formal reports for presenting analyses to senior management
• Coordinate personnel involved in project administratively and technically
• Comply with all applicable laws/regulations as well as company policies/procedures
• Perform other duties as required

Disclaimer
:
This job description is general in nature and is not designed to contain or to be interpreted as a comprehensive inventory of all duties, essential functions and qualifications required of employees assigned to the job.

• PhD in Industrial Engineering, Math/Statistics, or related quantitative discipline or Masters’ Degree (aforementioned disciplines) with 3 years’ experience in engineering, statistics, forecasting, or data analysis
• Programming skills and ability to learn new languages, including but not limited to: JAVA, Python,
  SQL, SAS
• Knowledge of optimization/simulation software such as CPLEX, Gurobi, Flex Sim
• Knowledge of mathematical optimization and solution methods for linear and integer programming
• Knowledge of designing and building machine learning models
• Knowledge of relational database systems Oracle, DB2 and Terradata
• Knowledge of big data implementations (hadoop), preferred
• Knowledge of ESRI technology, preferred
• Strong computer skills (Excel, Outlook, Word, PowerPoint, E-mail) with experience using statistical software and reporting interfaces, data mining tools, machine learning techniques and data visualization
• Analytical, problem solving, time management, organizational and interpersonal skills
• Good presentation, verbal and written communication skills

Hours may vary due to operational need

The compensation listed reflects the pay range or rate of pay reasonably expected for this posted position at the posted location(s). If this opportunity includes multiple job levels, the pay information represents the minimum and maximum range for all levels. Actual pay is determined by job-related factors permitted by law and…