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Applied Research Scientist-Network Optimization

When you join the LLamasoft Team, you become part of a team that helps a majority of the Gartner Supply Chain Top 25, fifty of the Fortune 500, plus numerous other large corporations, top consulting firms, and prominent Government agencies worldwide to model, optimize, and simulate their supply chain operations.  LLamasoft offers the most complete platform in support of supply chain design and predictive analytics available in the market today.  Our software and services lead to major improvements in cost, service, sustainability, and risk mitigation. 

The Role: 

This is your chance to bring your passion for solving difficult problems to a fast-growing, dynamic, entrepreneurial team that is pushing the boundaries of Supply Chain logistics and optimization.

Job Description:

  • Design, develop, and test algorithms to solve supply chain, inventory, and transportation problems
  • Take ownership of projects and drive them through to completion thoroughly and efficiently
  • Work effectively with small teams in order to complete projects on time
  • Understand key performance indices for solution quality and seek solutions to improve these metrics
  • Support existing business applications for internal and external stakeholders
  • Support development of LLamasoft commercial products to include components of LLamasoft’s flagship software product, Supply Chain Guru 

What Makes this Role Unique: Cutting-edge Research and Impactful Work to Grow Your Career

  • Participate in interesting research and development projects, getting exposed to a wide range of optimization technologies and problems
  • Make a real contribution to global logistics problems
  • Gain experience working with Fortune 500 companies, prominent consulting firms, humanitarian logistics agencies, and our nation’s military

The Qualifications: 

  • Must have 3-5 years of current mixed integer programming experience.
  • Graduate degree in Operations Research or Industrial Engineering (Ph.D. or significant experience required)
  • Solid background in mathematical optimization, inventory planning methods, transportation scheduling, and statistical demand forecasting / demand analysis methodologies will give preference
  • Experience with complex algorithmic development (Experience with optimization methods and algorithms highly desired)
  • A broad knowledge of the C# programming language or deep coding experience in other languages (C# preferred, coding skills required)
  • Experience with mathematical modeling systems and algebraic modeling languages (desirable)

About LLamasoft:

LLamasoft provides software and expertise to help companies design and improve their supply chain operations.  We enable companies to model, optimize and simulate their supply chain operations, leading to major improvements in cost, service, sustainability, and risk mitigation. Supply Chain Guru®, LLamasoft’s flagship product, is the leading supply chain design and predictive analytics application available in the market today.  LLamasoft is expanding its product offering into multiple design platforms as well as enterprise solutions. 

Since 1999, LLamasoft has helped hundreds of global organizations in over 30 countries leverage their unique blend of technology and deep domain expertise to drive competitive advantage and savings across their supply chain operations.

LLamasoft offers a stimulating small company atmosphere where your efforts will have a significant impact on global logistics and our company’s success.  We are a fun, results-driven company that centers on developing high quality software, not work schedules and dress codes. We are driven by people who have a passion for technology and innovation.  If you are excited about software development and looking for a fun and flexible environment in a growing company, please apply! 

LLamasoft is an equal opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.


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