As a Senior Applied Research Engineer at drata, you will be responsible for designing and developing innovative solutions using machine learning and data analysis to drive business growth and improvement. You will work closely with cross-functional teams to identify business problems and develop data-driven solutions. You will also be responsible for staying up-to-date with the latest advancements in machine learning and data analysis and applying them to real-world problems.
Key Responsibilities:
- Design and develop machine learning models to drive business growth and improvement.
- Work closely with cross-functional teams to identify business problems and develop data-driven solutions.
- Stay up-to-date with the latest advancements in machine learning and data analysis.
- Apply machine learning and data analysis techniques to real-world problems.
- Develop and maintain high-quality, scalable, and maintainable software systems.
Requirements:
- 5+ years of experience in machine learning and data analysis.
- Strong understanding of cloud computing platforms, such as AWS.
- Experience with Python programming language.
- Strong analytical and problem-solving skills.
- PhD in Computer Science or related field.