Director Data Science

About this role

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Skills you'll use

What you'll do

• Sigmoid provides the opportunity to push the boundaries of what is possible by seamlessly combining technical expertise and creativity to tackle intrinsically complex business problems and convert them into straight-forward data solutions.
• Despite being continuously challenged, you are not alone. You will be part of a fast-paced diverse environment as a member of a high-performing team that works together to energize and inspire each other by challenging the status quo
• Vibrant inclusive culture of mutual respect and fun through both work and play
• 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.

Who can apply

• 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.
• 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.

Perks & benefits

About Sigmoid

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