Duties & Responsibilities:
- Work on a team designing innovative software and algorithms to solve real-world problems in industrial processes. Use machine learning techniques, statistical tests, classical algorithms, and physically-motivated models as appropriate
- Perform in-depth exploratory analysis of data from the field and laboratory experiments
- Acquire domain knowledge about mechanical systems to aid in interpretation, analysis, and model building. Display drive and curiosity to understand the business to its core
- Develop applications according to requirements using a variety AI/ML and analytical techniques
- Maintain and update the analytics software platform (Python)
- Establish best practices around AI/ML production infrastructure, including building robust data pipelines and implementing MLops
- Keep abreast of developments in the field
- Collaborate with engineering and product development teams
- Provide day-to-day guidance and technical leadership to the data science team: collaborate with team members on their work, perform code reviews with a view to ensuring robust software deployments and implementing best practices, etc.