Job Description

Director Data Science


Experience range - 15+ years


Type of job - Full time, In office


Location - Bengaluru



  • 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, 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

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