Director Data Science

Roles and Responsibilities:

• 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, tensorflow, 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 complex problem 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