Manager – Infotech (Data Scientist)

Purpose of the Job –

As a Data Scientist you will work in collaboration with our business and engineering people, on creating value from data. Often the work requires solving complex problems by turning vast amounts of data into business insights through advanced analytics, modeling and machine learning. You have a strong foundation in analytics, mathematical modeling, computer science, and math – coupled with a strong business sense. You proactively fetch information from various sources and analyze it for better understanding about how the business performs. Furthermore, you model and build AI tools that automate certain processes within the company. The solutions produced will be implemented to impact business results.

The Data Scientist believes in a non-hierarchical culture of collaboration, transparency, safety, and trust. Working with a focus on value creation, growth and serving customers with full ownership and accountability. Delivering exceptional customer and business results.

Responsibilities

• Develop an understanding of business obstacles, create solutions based on advanced analytics and draw implications for model development
• Combine, explore and draw insights from data. Often large and complex data assets from different parts of the business.
• Design and build explorative, predictive- or prescriptive models, utilizing optimization, simulation and machine learning techniques
• Prototype and pilot new solutions and be a part of the aim of ‘productifying’ those valuable solutions that can have impact at a global scale
• Guides and coaches other chapter colleagues to help solve data/technical problems at an operational level, and in methodologies to help improve development processes Identifies and interprets trends and patterns in complex data sets to enable the business to take data-driven decisions

Skills and Abilities

Ability to –

• Extract and present valuable information from data
• Understand business requirements and generate insights
• Build mathematical models, validate and work with them
• Explain complex topics tailored to the audience
• Validate and follow up on results
• Work with large and complex data sets
• Establish priorities with clear goals and responsibilities to achieve a high level of performance.
• Work in an agile and iterative manner on solving problems
• Evaluate different options proactively and ability to solve problems in an innovative way. Develop new solutions or combine existing methods to create new approaches.
• Good understanding of Digital & analytics
• Strong communication skills, orally and in writing

Education: B.Tech / M.Tech – Computer Science or Engineering

Functional Knowledge –

Experience – 5-10 Years in DS role