Ops Research Scientist II

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

POSITION OVERVIEW:
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

ESSENTIAL FUNCTIONS:

• 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.

QUALIFICATIONS:

• 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, FlexSim
• 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

WORKING CONDITIONS:

Hours may vary due to operational need

Pay Transparency:

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 relevant to the position, such as experience, tenure, market level, pay at the location for this job, performance, schedule, and work assignment. Eligible employees offered health, vision, dental, life, AD&D, STD and LTD insurance, employee assistance program, personal/sick paid time, 401(k) retirement savings plan, bonus potential, tuition reimbursement, adoption assistance, 2 weeks paid parental leave, paid bereavement, employee discounts, 6.67–13.34 hours vacation per month based on service time, 8 paid holidays.

Pay Range: $83,799.00 - $160,894.00

Colorado Pay Ranges: Colorado Springs, Grand Junction $83,799.00 - $160,894.00; Henderson, Mead $83,799.00 - $160,894.00; Gypsum $83,799.00 - $160,894.00

Illinois Pay Ranges: Effingham, Kankakee, Lincoln, Quincy, Rockford, Aurora $83,799.00 - $160,894.00; Bolingbrook, Chicago Heights, Des Plaines, Elmhurst, Forest View, Joliet, Schaumburg, Summit-Argo, Zion $83,799.00 - $160,894.00

New York Pay Ranges: Plattsburgh, Buffalo, Watertown, North Chili, East Syracuse, Nichols $83,799.00 - $160,894.00; Bethpage, Montgomery, West Babylon $83,799.00 - $160,894.00

New Jersey Job Postings: $83,799.00 - $130,727.00

This compensation range is a reasonable estimate of the current starting pay range in NJ. 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 is determined by experience relative to the job, market level, specific location and other job-related factors permitted by law. Regular full & part-time employees (who complete 91 days of employment and work a minimum average of 12 hours per week) are eligible to enroll in medical, dental, and/or vision coverage, tuition reimbursement. Full/part-time employees who are age 21 are eligible for 401(k) after one month of employment.

EST FedEx Freight, Inc

FedEx Freight is an Equal Opportunity Employer, including disabled and veterans. If you have a disability and you need assistance in order to apply for a position with FedEx Freight, please e-mail at ADAAssistance@fedexfreight.com. FedEx Freight will not discharge or in any other manner discriminate against any employee or applicant for employment because such employee or applicant has inquired about, discussed, or disclosed the compensation of the employee or applicant or another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information.

About Us

FedEx Freight is committed to being the best provider of differentiated freight solutions for customers. We accomplish this by building and maintaining a safe, respectful, and diverse work environment that rewards and promotes long-term careers for employees who are engaged and enthusiastic about serving our customers.