- Own the expansion and development of existing and new science-powered features within the Convoy Platform Design and develop innovative auction systems and load recommendation engines that match shippers and brokers with carriers more efficiently, and ensure fair pricing. Develop prediction models that minimize the business risks within Convoy's carrier network. This entails analyzing data, developing scientific models, and implementing algorithms that work efficiently for different trucking capacities, routes, and market conditions.
- Develop feedback-aware automated decision-making systems
- Engage collaboratively
- Innovate Deliberately
- Leadership and Domain Experience
- Technical Aptitude
- Technical Problem Solving
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- Two-sided marketplaces, financial markets, and economic theory.
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- Our titles don't define us, we do what's needed to prioritize our customers.
- We support others through change and uncertainty and stay the course when things get challenging.
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senior research scientist, trucking - San Francisco, CA, United States - Flexport, Inc.
Description
About Flexport:
At Flexport, we believe global trade can move the human race forward. That's why it's our mission to make global commerce so easy there will be more of it. We're shaping the future of a $8.6T industry with solutions powered by innovative technology and exceptional people.
Today, companies of all sizes-from emerging brands to Fortune 500s-use Flexport technology to move more than $19B of merchandise across 112 countries a year.
The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world.
At a valuation of $8 billion, we're experiencing record growth and are proud to have the support of the best investors in the game who believe in our mission, solutions and people.
Ready to tackle global challenges that impact business, society, and the environment? Come join us.Solve the world's most challenging problems in the Trucking industry with data
The opportunity:
Flexport Trucking is looking for a creative, technically-minded Senior Research Scientist who is motivated to solve some of the world's most challenging problems in the Trucking industry.
We build technology to find smarter ways to connect brokers and shippers with carriers, solving some of the toughest problems in the 800-billion-dollar freight industry.
Our interconnected network and platform capabilities enable the movement of millions of truckloads across the country - saving money for shippers and brokers, increasing earnings for drivers, and avoiding unnecessary carbon waste for our planet.
Come learn what it's like to work on complex problems in a massive industry at the center of our economy.
Research Science is at the core of Flexport Trucking's Convoy Platform.We build models that power freight pricing, shipment relevance engines matching shipments and drivers, auction bidding strategy, and other core services.
We also forecast business metrics, evaluate the causal impact of business decisions, design statistical and machine learning models to optimize our product, and leverage our data to generate insights for our customers.
The breadth of the problem space is huge, spanning machine learning, optimization, causal inference, experimental design, and econometrics domains. We have only begun to dig into the difficult and diverse problems in our two-sided marketplace.
We are seeking a highly skilled Senior Research Scientist to contribute to the development of new Science-powered features within our marketplace, including but not limited to expanding our best-in-class auction mechanisms to better service our diverse broker and carrier base, developing algorithms for workforce planning and management to staff Flexport operations team, building fraud prevention and risk management systems to safeguard Convoy's carrier network, producing load recommendations for carriers within the app, etc.
You will:
This means as part of the role, you will continuously analyze feedback from brokers, shippers, and carriers to identify areas for improvement, fine-tune auction parameters, and optimize performance.
We seek individuals with a history of leading successful collaborations with cross-functional teams including product managers, engineers, and data scientists to ensure seamless integration of the modeling solutions within the Engineering systems.
We'd like the individuals joining our team to stay up-to-date with the latest advancements in machine learning, optimization techniques, and market dynamics to drive innovation and maintain a competitive edge.
You should have:
D.
or MS in Computer Science, Statistics, Applied Math/OR, Engineering, or related quantitative field with a minimum of 5+ years of experience developing machine learning solutions.
Ability to frame business problems as automated decision solutions and contribute as a technical leader on our collaborative teamsIntelligent but practical; you want to get things done and love simplicity.
Successful Flexporters share these traits:
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.
The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations.
Within the range displayed, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education and / or training.
The US base salary range for this position: (exclusive of bonus, equity and benefits.)$173,340-$193,050 USD
At Flexport, our ability to fulfill our mission of making global commerce easy and accessible relies on having a diverse, dedicated and engaged workforce.
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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