Head - Data Science & Research

Description of the role :

1. Envision and create distributed computing infrastructure - cloud and on-premise

2. Create a robust data management framework across multiple companies and functions

3. Create deep learning capabilities in computer vision, NLP and voice

4. Deliver high-impact projects using cloud and native ML/DL algorithms

5. Onboard and manage vendor partners to deliver multiple, simultaneous projects

6. Create organizational awareness, adoption, and skills for data and analytics

7. Build a strong team of ML engineers and deep learning data scientists

8. Oversight for real-estate analytics and NGO analytics

9. Design and oversee D&A product roadmap for startups

10. Deliver research projects with academic institutions

Functional competency :

- Machine learning

- Deep learning (ANN, CNN, RNN, LSTM)

- Distributed computing and big data tech

- Cloud data infrastructure and tools (AWS, Azure, Spark, Storm, GCP)

- Analytics product development & management

- Analytics project delivery

- Analytics vendor management

- Programming (Python, R)

- Open source visualization tools

- Production scale ML development

- Process : Agile sprints, iterative development

- Multi-tenanted application development