An opportunity to immerse in Silicon Valley ways of working fintech start-up

About BlueX

BlueX is connecting global trade online. As a B2B payments, pay-later and checkout platform, BlueX enables supply chain players to bring their freight transactions online through the BlueX marketplace or their own e-commerce storefront, while also providing insights for their global freight shipments – enabling more profitable logistics for over 11,000 carriers, freight forwarders and shippers.

At BlueX, you will have the opportunity to be part of an entrepreneurial culture. BlueX empowers supply chain players to sell, price and book shipments via customized e-Commerce platforms, while also enabling digital payments and pay-it-later solutions. By combining the expertise of shipping in Asia with the tech-savviness of Silicon Valley, we are digitalizing the supply chain with big data to drive profitable decision-making. As we continue to expand our business, we will have an increasingly global footprint. We are ramping up for growth, making this an exciting time to join our team.

Role Summary

As a summer intern in BlueX, you will have opportunities to work on projects with mentorship from the team. You will have your own footprints in helping the team plan, design, and build compelling user experiences that excite and delight our consumers. This is a role that can challenge the status quo - we aren’t hiring to stay as we are, we want people here to shake things up and show us new ways of thinking.

Responsibilities

• Data Scientist Intern
  • Partner with product, engineering, design, marketing, and finance teams to make decisions using a diverse set of tactics, including statistics, quantitative reasoning, and machine learning.
  • Build self-service data tools that allow us to monitor the health and performance of our primary business, including building ETL pipelines and data warehouse management.
  • Work closely with product managers, product marketers, designers, and engineers to evangelize data best practices and implement analytics solutions.
  • Use data analyses and statistical techniques to develop solutions to improve customer experience and to guide business decision making.
  • Identify predictors and causes of business related problems and implement novel approaches related to forecasting and prediction.

• Junior students in college or 1st year of master
• Degree in quantitative discipline
• Analytically-minded and good with numbers
• Interest in data and innovative technologies
• Able to work 5 days a week in summer 2023
• Good communication in English (written and oral) and interpersonal skills
• Good problem-solving skills and strong learning motivation