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Welcome to the INFORMS Transportation Science and Logistics (TSL) Society!

The INFORMS Transportation Science and Logistics (TSL) Society provides INFORMS members and friends with a sustained, specialized focus on all topics of transportation science and logistics, including current and potential problems and contributions to their solution, and supports efforts to extend, unify, and integrate related branches of knowledge and practice. We encourage the education of students and the continuing education of practitioners.

The Society was formed in 2004 with the merger of the Transportation Science and Logistics Sections. The Aviation Applications Section became an affiliate of the Society in 2008 and all members of the Aviation Applications Section are also members of TSL.

The Society is the editorial home of one of INFORMS’ flagship journals, Transportation Science.

The Society includes five special interest groups: Air Transportation, Freight Transportation and Logistics, Urban Transportation Planning and Modeling, Facility Logistics, and Intelligent Transportation Systems.

TSL includes just under 1,000 members, almost half of whom are students. More are welcome. Find us on Twitter!
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JOBS OF INTEREST TO TSL

  • San Francisco, California, The Opportunity   Flexport’s science team is looking for a Senior Manager of Applied Science to lead strategic, tactical, and operations planning. Flexport is one of the fastest-growing transportation technology companies in the world. The complexity of freight forwarding execution, which may span days to weeks, challenges us to design, build, and operate highly efficient transportation networks that minimize operational costs and consistently meet promised service level agreements. The science group is charged with developing a suite of prediction models, decision support, and optimization tools to: facilitate the design of efficient supply chain networks, optimize supply inventory management across different time scales and under uncertainty, satisfy shipper, client, and carrier commitments with high probability, and  effectively use supply resources under uncertainty to deliver on time and at the lowest cost.  Planning horizons vary from years to months for strategic planning, from months to weeks for tactical planning, and hours and minutes for (near) real-time operational planning. These planning capabilities rely heavily on forecasting, simulation, inventory management, large-scale optimization, and machine learning techniques. Because the freight forwarding domain is highly stochastic (on both supply and demand sides), operates over a high-dimensional time-space network, existing approaches are often inadequate and cannot support our end-to-end planning needs. This necessitates the R&D of novel approaches that combine state-of-the-art machine learning and optimization techniques to develop first-in-class solutions.    As a Senior Manager of Applied Science, you will lead an existing team of talented scientists and fill the ranks by attracting and hiring the best applied scientists. You will play a vital role on the leadership team to set technical and business directions. You will own the R&D and production deployment of Flexport’s planning optimization core. You will work closely with various technology teams to make a big and measurable impact on Flexport’s OKRs, delivering innovative science solutions that are robust in production, easy to maintain, and scale as Flexport’s demand and supply network continues to grow.  You Will: Build a world-class team of talented and experienced data, applied research, and machine learning scientists, demonstrate thought leadership and guidance to make the right scientific or technical trade-offs to meet our needs. Create the technical vision for the team on both data foundations and advanced models/algorithms.  Own the strategic research and product roadmap that delivers the best freight forwarding science solution. Hire and develop the best science team in the industry. Guide and develop the career of your direct reports. Build a team culture around technical excellence and strong delivery. Work collaboratively with product, engineering, and business leadership to: find opportunities to improve and enhance our technology products,  understand Flexport’s business and operations processes to identify impact opportunities,  translate ambiguous business requirements into the right technical solution, and design and build robust and scalable production solutions. Own the delivery of compelling data-driven solutions to support automated decision-making at scale. You Should Have: Minimum Qualifications 7+ years of relevant work experience, including 5+ years of experience managing applied science teams. Experience leading and growing teams of data, applied research, and machine learning scientists.  Strong programming experience in SQL and more languages: C/C++, C#, Java, Python.  Strong experience in one or more of the following: large-scale optimization techniques (e.g., metaheuristics, decomposition methods, etc.), operations research, and machine learning. Strong communication and interpersonal skills. Demonstrated ability to communicate with business stakeholders to understand requirements and present findings and recommendations that show value.   Experience taking research prototypes to production, especially in transportation and logistics (e.g., vehicle routing, scheduling, etc.). Technically deep in the principles of building large-scale transportation and logistics systems. Great at system design with strong evidence of capability to design complex transportation solutions at the right level of abstraction. Experience leading the development of complex software systems that have been successfully deployed. Experience and a strong background in algorithm design, engineering, and implementation.   Preferred Qualifications Ph.D. (or equivalent research experience) in quantitative fields, such as Operations Research, Applied Math, Computer Science, etc.  Deep hands-on technical expertise in transportation routing algorithms/software systems. Deep expertise and experience in developing metaheuristics and matheuristics algorithms for extreme-scale combinatorial optimization. Advance knowledge of decomposition/iterative methods for solving large-scale linear/nonlinear programs. Deep expertise and experience in designing and implementing optimization models for large-scale discrete/combinatorial problems (e.g., vehicle routing, scheduling, network design, scheduling, and facility location)  Experience with distributed computing and large-scale software systems design. Strong research track record with contributions to research communities via peer-reviewed publications in top OR/ML journals and conferences.     About Flexport   We believe trade can move the human race forward. That’s why it’s our mission to make global trade easy for everyone . Flexport is building the platform for global logistics, empowering buyers, sellers and their logistics partners with the technology and services to grow and innovate. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $10B of merchandise across 112 countries every year.   Worried about not having any logistics experience?   Don’t be! Our mission is to make global trade easy for everyone . That’s why it’s important to bring people from diverse backgrounds and experiences together with our industry veterans to help move the global logistics industry forward. We know this industry is complex. That’s why we invest in education starting day one with Flexport Academy, a one week intensive onboarding program designed specifically to set every new Flexport employee up for success.  At Flexport, our ability to fulfill our mission of making global trade easy for everyone relies on having a diverse, dedicated and engaged workforce. That is why Flexport is committed to creating and nurturing an environment where anyone can be their authentic self. All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, national origin, age, physical and mental disability, health status, marital and family status, sexual orientation, gender identity and expression, military and veteran status, and any other characteristic protected by applicable law.  
  • San Francisco, California, The Opportunity:   Flexport is looking for a creative, technically-minded Senior Applied Research Scientist (ARS) who is motivated to solve some of the world’s most challenging problems in global trade.   Data is at the heart of our business, and as a Senior ARS, you will work to evaluate and provide insights into our physical and digital products. In collaboration with multidisciplinary product, engineering, and business/operations teams, you will apply advanced Machine Learning (ML) and Operations Research (OR) methods to deliver data-driven insights and automated decision-making in Flexport’s freight forwarding products.  Our business, product, and engineering teams collaborate closely with our Applied Research Scientists to share domain knowledge, test hypotheses at scale, and develop promising solutions that can be quickly and widely deployed. We are passionate about providing effortlessly accessible intelligence and actionable insights to our end users. Our ideal candidate is: self-motivated, highly analytical, technically excellent at writing code, and passionate about delivering cutting-edge solutions.   You Will: Work collaboratively with product, engineering, and business to: find opportunities to improve and enhance our technology products,  understand Flexport’s business and operations processes to identify impact opportunities, and translate ambiguous business requirements into the right technical/quantitative solution. Perform requirements gathering and data gathering & analysis.   Research prior work to inform and develop models and algorithms and quantify appropriate metrics & targets. Perform R&D of new models/algorithms and refactor ML/OR solutions to support scalable production deployment.  Deliver compelling data-driven solutions to support automated decision-making at scale. Work with large and complex data sets. Solve difficult data analysis problems by applying advanced analytical methods as needed.  Develop prototype data analyses and data assets iteratively as needed to generate actionable insights.  Communicate findings to technical collaborators and business stakeholders.  Drive and hands-on contribute to model/algorithmic development.   You Should Have: Minimum Qualifications Ph.D. (or equivalent industry or research experience) in quantitative fields, such as Operations Research, Computer Science, Mathematics, etc.  5+ years of hands-on experience in predictive and quantitative modeling and analysis. Experience and strong expertise in business analytics, forecasting, or supply chain planning, emphasizing quantitative modeling and analysis. Experience and a strong background in algorithm design, engineering, and implementation. Experience and a strong background in optimization methods for solving linear, mixed-integer, and dynamic programs. Understanding of MIP strategies to customize/leverage commercial/open-source solvers.  Software development experience using general-purpose programming languages like Python, Java, or C/++, C# Experience working with large data sets and knowledge of tools for big data analytics (e.g., SQL, Python, Perl, or Ruby). Preferred Qualifications Knowledge of decomposition/iterative methods for solving large-scale optimization problems. Expertise in designing and implementing optimization models and algorithms for large-scale discrete/combinatorial problems (e.g., vehicle routing, inventory planning, scheduling, network design, scheduling, and facility location). Expertise in developing metaheuristics and matheuristics algorithms for extreme-scale combinatorial optimization. Experience taking research prototypes to production. Some experience in business analytics, forecasting, or supply chain planning, emphasizes quantitative modeling and analysis. Some experience in machine learning and statistical techniques such as classification, clustering, regression, statistical inference, collaborative filtering, and experimental design. Proven object-oriented design and implementation skills (Python, Java, and C++). Understanding of scalable computing systems, software architecture, and data structures. Experience leading the development of complex software systems that have been successfully deployed. Knowledge of software engineering best practices for the complete software development life cycle. Strong research track record with contributions to research communities via publications in top conferences and journals and code contributions in open source communities such as COIN-OR, scikit-learn, CLTK, NLTK, etc.   About Flexport   We believe trade can move the human race forward. That’s why it’s our mission to make global trade easy for everyone . Flexport is building the platform for global logistics, empowering buyers, sellers and their logistics partners with the technology and services to grow and innovate. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $10B of merchandise across 112 countries every year.   Worried about not having any logistics experience?   Don’t be! Our mission is to make global trade easy for everyone . That’s why it’s important to bring people from diverse backgrounds and experiences together with our industry veterans to help move the global logistics industry forward. We know this industry is complex. That’s why we invest in education starting day one with Flexport Academy, a one week intensive onboarding program designed specifically to set every new Flexport employee up for success.  At Flexport, our ability to fulfill our mission of making global trade easy for everyone relies on having a diverse, dedicated and engaged workforce. That is why Flexport is committed to creating and nurturing an environment where anyone can be their authentic self. All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, national origin, age, physical and mental disability, health status, marital and family status, sexual orientation, gender identity and expression, military and veteran status, and any other characteristic protected by applicable law.
  • San Francisco, California, The Opportunity   Flexport is looking for a creative, technically-minded Applied Research Scientist (ARS) Intern who is motivated to solve some of the world’s most challenging problems in freight forwarding.     Data is at the heart of our business. As an ARS Intern, you will evaluate and build quantitative solutions for Flexport’s freight forwarding and marketplace products. In collaboration with multidisciplinary teams, you will apply advanced methods to develop operations research/machine learning solutions that deliver data-driven insights and automated decision making. Project assignment will be based on the team's needs and your knowledge and skillsets.    You will own end-to-end delivery of the science solution over 12 weeks, culminating in delivering and presenting a production-ready solution.  The science team has intern projects covering all Flexport initiatives, including pricing, experimentation, strategic/tactical/operations planning (e.g., routing, scheduling, inventory management, and network design), and applied machine learning (e.g., transit time estimation, forecasting, trade & financial services). You Will: Lead and complete at least one science project that will be launched in production. Work with a supportive mentor who has a stake in your success and will help you grow. Perform data gathering and requirements gathering & analysis.   Research prior work to inform and develop rational hypotheses and quantify appropriate metrics & targets.  Develop data analysis/machine learning solutions to support actionable insights and deliver data-driven OR solutions to support automated decision making. Work with large and complex data sets and solve difficult data analysis problems by applying advanced analytical methods as needed.  You Should Have: Minimum Qualifications Be a Ph.D. candidate within one year of graduation in a technical field like Operations Research, Applied Mathematics, Statistics, Computer Science, Engineering, etc. Have strong programming experience in SQL and one or more of the following languages: Python, C/C++, C#, Java.  Experience working with large data sets and knowledge of tools for big data analytics (e.g., SQL, Python, Perl, or Ruby). Practical exposure to algorithm design, engineering, and implementation. Practical exposure to optimization methods for solving linear, mixed-integer, and dynamic programs. Ability to translate business requirements into mathematical models.  Knowledge of MIP strategies to customize/leverage commercial/open-source solvers.  Knowledge of business analytics, forecasting, or supply chain planning, emphasizes on quantitative modeling and analysis.   You will get: An assigned manager and mentor who will be dedicated to your success at Flexport.  Projects and assignments which will help build your knowledge and skills while making a measurable direct impact on the business. Visibility to leaders within the organization and opportunities to present your work/projects. Opportunity to join team-building activities to get you familiarized with your immediate team and other Flexport employees. About Flexport: We believe trade can move the human race forward. That’s why it’s our mission to make global trade easy for everyone . Flexport is building the platform for global logistics, empowering buyers, sellers and their logistics partners with the technology and services to grow and innovate. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $10B of merchandise across 112 countries every year.      
  • San Francisco, California, The Opportunity Flexport is looking for a creative, technically-minded Machine Learning Scientist (MLS) who is motivated to solve some of the world’s most challenging ML problems in global trade.   Data is at the heart of our business, and as a Machine Learning Scientist, you will work to evaluate and provide insights into our physical and digital products. In collaboration with multidisciplinary product, engineering, user experience, and business/operations teams, you will apply advanced Machine Learning (ML) methods to deliver data-driven insights and automated decision solutions in Flexport’s freight forwarding products.  Our business, product, and engineering teams collaborate closely with our Machine Learning Scientists to share domain knowledge, test hypotheses at scale, and develop promising solutions that can be quickly and widely deployed. In addition, we are passionate about providing effortlessly accessible intelligence and actionable insights to our end users. Thus, the ideal MLS candidate is: self-motivated, highly analytical, technically excellent at writing code, and passionate about delivering cutting-edge solutions.     You Will: Work collaboratively with product, engineering, and business to: Find opportunities to improve and enhance our forecasting technology products.  Understand Flexport’s business and operations processes to identify impact opportunities.  Translate ambiguous business requirements into the right technical solution. Design and build robust and scalable production forecasting solutions. Perform R&D of new ML models and refactor ML solutions to support scalable production deployment.  Deliver compelling data-driven estimation solutions to support automated decision-making at scale. Research prior work to inform and develop rational hypotheses and quantify appropriate metrics & targets. Work collaboratively with other scientists (e.g., operations research, optimization) to develop hybrid solutions that combine machine learning and optimization to automate decision-making. Develop prototype data analysis/machine learning pipelines iteratively as needed to generate actionable insights.  Communicate findings to technical collaborators and business stakeholders.  Perform requirements gathering and data analysis.   You Should Have: Minimum Qualifications Masters degree in quantitative fields (e.g., computer science, mathematics, statistics, physics, engineering, etc.) Experience and strong technical background in one or more of the following: Machine Learning, Natural Language Understanding, Computer Vision, Data Mining, Artificial Intelligence, Numerical Optimization, Data Engineering.  Software development experience using general-purpose programming languages like Python, Java, or C/++, C# Experience working with large data sets. Strong verbal and written communication. Experience training Machine Learning models on libraries such as Tensorflow, PyTorch, Scikit-learn.    Preferred Qualifications Ph.D. in quantitative fields (e.g., computer science, mathematics, statistics, physics, engineering, etc.) A strong theoretical background in machine learning/artificial intelligence, algorithms, distributed systems, or statistics. Experience training machine learning models in a cloud computing environment like Amazon EC2, Google Cloud Platform, Microsoft Azure, etc.   Experience in machine learning and statistical techniques such as classification, clustering, regression, statistical inference, collaborative filtering, and experimental design. Proven object-oriented design and implementation skills (Python, Java, and C++), Strong research track record with contributions to research communities via publications in top conferences and journals and code contributions in open source communities such as scikit-learn, CLTK, NLTK, etc.   About Flexport   We believe trade can move the human race forward. That’s why it’s our mission to make global trade easy for everyone . Flexport is building the platform for global logistics, empowering buyers, sellers and their logistics partners with the technology and services to grow and innovate. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $10B of merchandise across 112 countries every year.   Worried about not having any logistics experience?   Don’t be! Our mission is to make global trade easy for everyone . That’s why it’s important to bring people from diverse backgrounds and experiences together with our industry veterans to help move the global logistics industry forward. We know this industry is complex. That’s why we invest in education starting day one with Flexport Academy, a one week intensive onboarding program designed specifically to set every new Flexport employee up for success.    At Flexport, our ability to fulfill our mission of making global trade easy for everyone relies on having a diverse, dedicated and engaged workforce. That is why Flexport is committed to creating and nurturing an environment where anyone can be their authentic self. All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, national origin, age, physical and mental disability, health status, marital and family status, sexual orientation, gender identity and expression, military and veteran status, and any other characteristic protected by applicable law.  
  • San Francisco, California, The Opportunity:   Flexport is looking for a creative, technically-minded Applied Research Scientist (ARS) who is motivated to solve some of the world’s most challenging problems in global trade.     Data is at the heart of our business, and as an Applied Research Scientist, you will work to evaluate and provide insights into our physical and digital products. In collaboration with multidisciplinary product, engineering, and business/operations teams, you will apply advanced quantitative methods to deliver data-driven insights and automated decision-making in Flexport’s freight forwarding products.  Our business, product, and engineering teams collaborate closely with our Applied Research Scientists to share domain knowledge, test hypotheses at scale, and develop promising solutions that can be quickly and widely deployed. We are passionate about providing effortlessly accessible intelligence and actionable insights to our end users. Our ideal candidate is: self-motivated, highly analytical, technically excellent at writing code, and passionate about delivering cutting-edge solutions.     You Will:   Work collaboratively with product, engineering, and business to: find opportunities to improve and enhance our technology products,  understand Flexport’s business and operations processes to identify impact opportunities, and translate ambiguous business requirements into the right technical/quantitative solution. Perform requirements gathering and data gathering & analysis.   Research prior work to inform and develop models and algorithms and quantify appropriate metrics & targets. Perform R&D of new models/algorithms and refactor ML/OR solutions to support scalable production deployment.  Deliver compelling data-driven solutions to support automated decision-making at scale. Work with large and complex data sets. Solve difficult data analysis problems by applying advanced analytical methods as needed.  Develop prototype data analyses and data assets iteratively as needed to generate actionable insights.  Communicate findings to technical collaborators and business stakeholders.  Drive and hands-on contribute to model/algorithmic development.     You Should Have: Minimum Qualifications Ph.D. (or equivalent industry or research experience) in quantitative fields, such as Operations Research, Computer Science, Mathematics, etc.  3+ years of hands-on experience in predictive and quantitative modeling and analysis. Experience and a strong background in algorithm design, engineering, and implementation. Experience and a strong background in optimization methods for solving linear, mixed-integer, and dynamic programs. Experience in business analytics, forecasting, or supply chain planning, emphasizing quantitative modeling and analysis. Understanding of MIP strategies to customize/leverage commercial/open-source solvers.  Software development experience using general-purpose programming languages like Python, Java, or C/++, C# Experience working with large data sets and knowledge of tools for big data analytics (e.g., SQL, Python, Perl, or Ruby). Preferred Qualifications Advance knowledge of decomposition/iterative methods for solving large-scale optimization problems. Expertise in designing and implementing optimization models and algorithms for large-scale discrete/combinatorial problems (e.g., vehicle routing, inventory planning, scheduling, network design, scheduling, and facility location)  Expertise in developing metaheuristics and matheuristics algorithms for extreme-scale combinatorial optimization. Proven object-oriented design and implementation skills (Python, Java, and C++) Some experience in machine learning and statistical techniques such as classification, clustering, regression, statistical inference, collaborative filtering, and experimental design. Some experience in business analytics, forecasting, or supply chain planning, emphasizes quantitative modeling and analysis. Strong research track record with contributions to research communities via publications in top conferences and journals and code contributions in open source communities such as COIN-OR, scikit-learn, CLTK, NLTK, etc.   About Flexport   We believe trade can move the human race forward. That’s why it’s our mission to make global trade easy for everyone . Flexport is building the platform for global logistics, empowering buyers, sellers and their logistics partners with the technology and services to grow and innovate. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $10B of merchandise across 112 countries every year.   Worried about not having any logistics experience?   Don’t be! Our mission is to make global trade easy for everyone . That’s why it’s important to bring people from diverse backgrounds and experiences together with our industry veterans to help move the global logistics industry forward. We know this industry is complex. That’s why we invest in education starting day one with Flexport Academy, a one week intensive onboarding program designed specifically to set every new Flexport employee up for success.  At Flexport, our ability to fulfill our mission of making global trade easy for everyone relies on having a diverse, dedicated and engaged workforce. That is why Flexport is committed to creating and nurturing an environment where anyone can be their authentic self. All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, national origin, age, physical and mental disability, health status, marital and family status, sexual orientation, gender identity and expression, military and veteran status, and any other characteristic protected by applicable law.

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