Senior Data Scientist

Job Location

Taipei City

Type of Job

Full Time

  • Lead and mentor data scientists with a focus on efficient, result-driven experimentation to reduce time to market.

  • Establish and advocate a culture of modern data science engineering best practices and design patterns.

  • Work with data-infrastructure engineers to build up top-notch data infrastructure and tools.

  • Work with other stakeholders to gain new insights from data by employing statistical and/or machine learning models.

  • Proactively address problems with a research-thinking mindset and critically think about the pros and cons of different approaches.

  • Independently read relevant literature and share your insights and knowledge with other stakeholders.

  • Write clean, maintainable, and well-commented source code.

Qualifications

  • Bachelor’s degree or higher in computer science, electrical engineering, mechanical engineering, applied mathematics, or a related field.

  • 5+ years of industry work experience or equivalent.

  • Exceptional academic track record with expertise in data science, statistics, machine learning, and/or artificial intelligence.

  • Familiarity with and knowledge of the advantages and disadvantages of data warehouses, data lakes, data pipelines and batch and stream processing.

  • Working experience with SQL and noSQL databases.

  • Exceptionally strong understanding of fundamentals and problem solving skills.

  • Understanding of software development best practices, including coding standards, code reviews, design patterns, source control management, and test automation.

  • Programming skills in C++, Python, JavaScript, and/or Go.

  • Strong verbal and written communication skills.

Roles & responsibilities

  • Lead and mentor data scientists with a focus on efficient, result-driven experimentation to reduce time to market.

  • Establish and advocate a culture of modern data science engineering best practices and design patterns.

  • Work with data-infrastructure engineers to build up top-notch data infrastructure and tools.

  • Work with other stakeholders to gain new insights from data by employing statistical and/or machine learning models.

  • Proactively address problems with a research-thinking mindset and critically think about the pros and cons of different approaches.

  • Independently read relevant literature and share your insights and knowledge with other stakeholders.

  • Write clean, maintainable, and well-commented source code.

Qualifications

  • Bachelor’s degree or higher in computer science, electrical engineering, mechanical engineering, applied mathematics, or a related field.

  • 5+ years of industry work experience or equivalent.

  • Exceptional academic track record with expertise in data science, statistics, machine learning, and/or artificial intelligence.

  • Familiarity with and knowledge of the advantages and disadvantages of data warehouses, data lakes, data pipelines and batch and stream processing.

  • Working experience with SQL and noSQL databases.

  • Exceptionally strong understanding of fundamentals and problem solving skills.

  • Understanding of software development best practices, including coding standards, code reviews, design patterns, source control management, and test automation.

  • Programming skills in C++, Python, JavaScript, and/or Go.

  • Strong verbal and written communication skills.

How to apply

If you have the passion, knowledge and expertise to contribute to an elite and diverse team of experts, we strongly encourage you to apply today. Send your resume along with the name of the position you are applying for and a brief self-introduction to Recruiting_ARAIC@asus.com.

About us

The ASUS Robotics and AI Center is a world-class research and development laboratory in Taipei that was established with the mission of developing ambitious technologies that will define the future. Our multidisciplinary team of the brightest engineers and scientists are dedicated to creating software-focused solutions that will solve some of the most enduring challenges in the fields of robotics and artificial intelligence. Through our drive to pursue the boundless possibilities of these nascent technologies and meet the difficult challenges they present head-on, we will achieve breakthroughs that will propel future innovations and empower people around the world with new capabilities of robotics and AI computing.