Principal Data Scientist

Roles and Responsibilities:

1. Convert broad vision and concepts into a structured data science roadmap, and guide a team to successfully execute on it.
2. Handling end-to-end client AI & analytics programs in a fluid environment. Your role will be a combination of hands-on contribution, technical team management, and client interaction.
3. Proven ability to discover solutions hidden in large datasets and to drive business results with their data-based insights
4. Contribute to internal product development initiatives related to data science.
5. Drive excellent project management required to deliver complex projects, including effort/time estimation.
6. Be proactive, with full ownership of the engagement. Build scalable client engagement level processes for faster turnaround & higher accuracy
7. Define Technology/ Strategy and Roadmap for client accounts, and guides implementation of that strategy within projects
8. Manage the team-members, to ensure that the project plan is being adhered to over the course of the project
9. Build a trusted advisor relationship with the IT management at clients and internal accounts leadership.

Mandated Skills:

1. A B-Tech/M-Tech/MBA from a top tier Institute preferably in a quantitative subject
2. 10+ years of hands-on experience in applied Machine Learning, AI and analytics
3. Experience of scientific programming in scripting languages like Python, R, SQL, NoSQL, Spark with ML tools & Cloud Technology (AWS, Azure, GCP)
4. Experience in Python libraries such as numpy, pandas, scikit-learn, tensor-flow, scrapy, BERT etc.
5. Strong grasp of depth and breadth of machine learning, deep learning, data mining, and statistical concepts and experience in developing models and solutions in these areas
6. Expertise with client engagement, understanding complex problem statements, and offering solutions in the domains of Supply Chain, Manufacturing, CPG, Marketing etc.

Desired Skills:

1. Deep understanding of ML algorithms for common use cases in both structured and unstructured data ecosystems.
2. Comfortable with large scale data processing and distributed computing
3. Providing required inputs to sales, and pre-sales activities
4. A self-starter who can work well with minimal guidance
5. Excellent written and verbal communication skills