Responsibilities -
- Develop & research innovative ML based solutions to some of the firms' hardest problems
- Understand business to formulate relevant high impact questions that can be answered through data analysis.
- Work on building robust Data Science capabilities which can be scalable across business use cases.
- Collaborate with technology to design and deploy ML services that can be integrated with strategic systems.
- Strategically thinking to leverage reusable components within the firm and state of the art available externally when building the capabilities.
- Research and analyze data sets using statistical and machine learning techniques.
- Communicate final results and give context.
- Document approach and techniques used.
Required Technical Qualifications and experience
- B.Tech, MS or PhD in a quantitative or computational discipline
- Minimum 8 years of hands-on experience developing and deploying Data Science and ML capabilities in production at scale.
- Strong ability to develop and debug in PySpark, Python or similar professional programming language.
- Should be able to work individually and collaboratively in teams, in order to achieve project goals.
- Must be curious, hardworking and detail-oriented, and motivated by complex analytical problems.
- Experience in deep learning / applied AI
- Able to be results and client focused and follow the agile development paradigm.
Didn’t find the job appropriate? Report this Job