Flexport - Senior Applied Data Scientist
Requirements
• 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. • 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. • Global Data Privacy Notice for Job Candidates and Applicants • Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. By submitting your application, you are agreeing to our use and processing of your data as required. Please see our Privacy Notice available at www.flexport.com/privacy for additional information.
Responsibilities
• 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
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