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.
Requirements
Bachelor’s degree or higher in computer science, electrical engineering, mechanical engineering, applied mathematics, or a related field.
5+ years of industry work experience.
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.
Consistently professional demeanor in alignment with our values of integrity and excellence in the workplace.
Benefits
Work with experts from around the world
Top-notch facility and compensation
Fully English-speaking work environment in Taiwan
Combination of the best aspects of a startup, academia, and a large international enterprise
