Data Scientist
Intern

Job Title Data Scientist
Type Undergraduate & Post Graduate
Location Singapore

Introduction

Alpha Ori technologies is maritime research and innovation company that focuses on transforming shipping and all related parts of the logistics value chain to operate as a digital enterprise.

Our vision is to digitally enable all floating enterprises with cutting-edge technology to drive remote operations, enhance operational efficiency & achieve highest levels of safety on board ships. Our flagship product SMARTSHIP is a real-time software that enables shore users to visualize ship’s operational parameters and performance data in real-time. This feature also enables the superintendent or vessel manager at shore to virtually visit a ship in his/her fleet, view ship performance (live as well as historical), drill down to individual parameters.

Job Description

As a Data Science Intern, you will work together with a small team of Data Scientist and Data Engineers that develops data driven and algorithmic applications on top of real time data made available from ships. You will have the opportunity to contribute to the entire application lifecycle, starting from ideation, design and implementation of data science algorithms and visualization. You are required to know how to work a problem from beginning to end with data science tools and techniques, including but not limited to data manipulation, Python programming and data visualization. You should have a passion for solving complex issues, designing mathematical models & writing good code – while having the flexibility to quickly learn and adapt to new technologies when necessary. Familiarity with AWS is a plus.

What You’ll Do

  • Acquire, clean and filter data(Structured and Semi Structured) from multiple sources (mostly from AWS)
  • Develop, prototype and test predictive and prescriptive algorithms and workflows involving multiple algorithms
  • Develop and implement data collection systems and other strategies that optimize timelines and efficiency
  • Communicate results and findings with suitable tools for reporting and visualization

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