Senior Applied Data Scientist

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 $10T 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. We 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.

The opportunity:

Flexport is looking for a creative, technically-minded Senior Data Scientist who is excited about solving challenging problems in fulfillment and logistics. We provide ecommerce merchants a full range of "factory to door" logistics solutions. This role focuses on building automated decision-making processes that ensure that we meet or exceed the expectations of our merchants for fulfillment speed and reliability, while growing the network in a cost-efficient way.

Data is at the heart of our business, and as a Data Scientist, you will develop first-in-class science products to make fulfillment easy and efficient for our merchants. In collaboration with multidisciplinary product, engineering, and business/operations teams, you will apply advanced Operations Research (OR) and Machine Learning (ML) methods to deliver data-driven insights and automated decision-making solutions in Flexport’s fulfillment products.

Our business, product, and engineering teams collaborate closely with our Data 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, technically excellent at writing code, and passionate about delivering cutting-edge solutions.

You will:

• Design and develop models and algorithms to enable and improve the service of the fulfillment network, including optimal inventory management and reliable delivery service
• Collaborate with business/product team the goal to reduce fulfillment network variable cost reduction by identifying the cost saving opportunities and figuring out proper solution
• Contribute to projects that measurably impact business goals, translating a business need to an actionable development plan and executing the plan successfully
• Work cross functionally across Data Science, Engineering, Product, Planning and Operations to implement production processes and reporting to achieve desired KPIs
• Contribute to data science and analytics best practices for the team and across the organization

You should have:

• A degree in a quantitative field like Operations Research, Applied Mathematics, Computer Science, Econometrics, etc. 
• 5+ years of industry experience in solving optimization and/or machine learning problems and developing practically efficient, automated solutions
• Experience developing, enhancing, and maintaining end-to-end data science production processes, including data modeling, algorithm development, testing, and metric tracking
• Software engineering experience to build software to solve real industrial problems, with a strong understanding of system architecture
• Proficient with frontier AI models to proactively identify the opportunities for business growth and operational cost saving
• Proficient with Python and SQL. Experience with Snowflake, dbt, data visualization/reporting tools (e.g. Looker) preferred
• A "compliance first" attitude to keep our regulators happy and enthusiastic about Flexport since we operate in a heavily regulated industry.

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Commitment to Equal Opportunity

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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