Roles and Responsibilities
- Work with other stakeholders to gain new insights from data by employing statistical and/or machine learning models.
- Employ fast experimentation, iterations, and exploratory data analysis to reduce time to market.
- Work with data-infrastructure engineers to build up top-notch data infrastructure and tools.
- 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.
- 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.