Sr. Logistics Engineer, CVD

Job Title:

Sr. Logistics Engineer, CVDDepartment:

Engineering & Science Country:

United States of America State/Province:

Arkansas City:

Lowell Full/Part Time:

Full time

Job Summary:

Under general supervision, the position applies engineering techniques and quantitative methods to solve complex problems and add value to the organization. The incumbent will coordinate with internal and external customers to understand the parameters of projects and provide guidance to junior team members.

Job Description:

Key Responsibilities:

Lead the design and implementation of complex transportation, network, and operational solutions that drive significant business value

Serve as a subject matter expert in transportation network design and solution development, guiding stakeholders through complex operational and customer challenges

Solve highly complex and ambiguous business problems using advanced analytics, modeling, optimization, and simulation techniques

Serve as a trusted advisor to customers, stakeholders, and leadership by translating business needs into practical and innovative solutions

Lead large-scale projects and initiatives from concept through implementation, coordinating across multiple functions and stakeholders

Influence decision-making through clear communication of insights, recommendations, risks, and tradeoffs to technical and executive audiences

Develop and enhance analytical tools, performance metrics, and reporting frameworks that drive strategic decision-making

Apply advanced industrial engineering and operations research methodologies, including network design, routing, scheduling, optimization, and scenario modeling

Quantify, communicate, and present project outcomes, including financial impact, service improvements, and operational efficiencies

Mentor and provide technical guidance to less experienced engineers, contributing to the development of engineering best practices and team capabilities

Evaluate emerging business needs, technologies, and industry trends to identify opportunities for innovation and continuous improvement

Qualifications:

Minimum Qualifications:

Bachelor's degree in Industrial Engineering, Mathematics, Statistics, Information Management, or related field, or foreign equivalent, or suitable combination of education, experience, and training with 5 years of experience in Industrial Engineering or related fieldAND Demonstration of the following

Experience in data visualization software, statistics, operations research, linear programming, forecasting, predictive modeling, relational databases, and/or SQL Compensation:

Factors which may affect starting pay within this range may include skills, education, experience, geography, and other qualifications of the successful candidate. This position may be eligible for annual bonus and incentives based on profitability or volumes in accordance with the terms of the Company’s bonus and incentive plans, as applicable and in effect from time to time.

Benefits:

The Company offers the following benefits for full-time positions, subject to applicable eligibility requirements, as may be in effect from time to time: medical benefit, dental benefit, vision benefit, 401(k) retirement plan, life insurance, short-term and long-term disability coverage, paid time off commensurate with tenure (includes vacation and sick time), six weeks of paid maternity leave along with two weeks of paid parental leave, and six paid holidays annually.

Education:

Bachelors:
Industrial Engineering (Required), Bachelors:
Management Information Systems (Required), Bachelors:
Mathematics (Required), Bachelors:
Statistics (Required), Masters:
Industrial Engineering, Masters:
Management Information Systems, Masters:
Mathematics, Masters:
Statistics

Work Experience:

Enginee…