01Responsibilities
Research and develop cutting-edge ML based solutions to some of cross-functions and operations hardest problems.
Build robust data science capabilities which can be scaled across multiple business use cases.
Collaborate with software engineering teams to design, deploy, and maintain production-grade ML models that can be integrated with strategic systems.
Research and analyze large data sets using a variety of statistical and machine learning techniques.
Communicate AI capabilities and results to both technical and non-technical audiences.
Document approaches taken, techniques used, and processes followed to comply with industry regulation.
Required Technical Qualifications and Experience
Bachelors/Masters degree or PhD in a quantitative or computational discipline
Considerable commercial experience in line with a capable individual contributor; developing and deploying data science and ML capabilities in production at scale.
Solid Python development and debugging ski .
