Description :

- Convert broad vision and concepts into a structured data science roadmap, and guide a team to successfully execute on it.

- 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.

- Proven ability to discover solutions hidden in large datasets and to drive business results with their data-based insights.

- Contribute to internal product development initiatives related to data science.

- Drive excellent project management required to deliver complex projects, including effort/time estimation.

- Be proactive, with full ownership of the engagement.

- Build scalable client engagement level processes for faster turnaround & higher accuracy.

- Define Technology/ Strategy and Roadmap for client accounts, and guides implementation of that strategy within projects.

- Manage the team-members, to ensure that the project plan is being adhered to over the course of the project.

- Build a trusted advisor relationship with the IT management at clients and internal accounts leadership.

Mandated Skills :

- A B-Tech/M-Tech/MBA from a top tier Institute preferably in a quantitative subject.

- 15+ overall experience with 12+ years of hands-on experience in applied Machine Learning, AI and analytics.

- Experience of scientific programming in scripting languages like Python, R, SQL, NoSQL, Spark with ML tools & Cloud Technology (AWS, Azure, GCP).

- Experience in Python libraries such as numpy, pandas, scikit-learn, tensor-flow, scrapy, BERT etc.

- 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.

- Expertise with client engagement, understanding complexproblem statements, and offering solutions in the domains of Supply Chain, Manufacturing, CPG, Marketing etc.

Desired Skills :

- Deep understanding of ML algorithms for common use cases in both structured and unstructured data ecosystems.

- Comfortable with large scale data processing and distributed computing.

- Providing required inputs to sales, and pre-sales activities.

- A self-starter who can work well with minimal guidance.

- Excellent written and verbal communication skills.