Nagarro is hiring a
Principal Engineer (Data Science)

Summary

Join Nagarro as a Digital Product Engineer and contribute to building products, services, and experiences that inspire and delight. We're looking for experts with strong analytical and problem-solving skills, excellent leadership and communication skills, and experience in programming languages such as Python, R, or Scala.

Requirements

• Experience: 13+ Years
• Proficiency in programming languages such as Python, R, or Scala
• Experience in Gen AI techniques, including RAG and prompt engineering
• Strong knowledge of predictive modeling techniques
• Experience with optimization algorithms and tools
• Strong knowledge of statistical analysis, machine learning, and data mining techniques
• Experience with data manipulation and visualization libraries
• Familiarity with distributed computing frameworks and cloud platforms
• Strong analytical and problem-solving skills
• Excellent leadership and interpersonal skills
• Excellent verbal and written communication skills
• Demonstrated ability to adapt to changing priorities

Responsibilities

• Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements
• Mapping decisions with requirements and be able to translate the same to developers
• Identifying different solutions and being able to narrow down the best option that meets the client’s requirements
• Defining guidelines and benchmarks for NFR considerations during project implementation
• Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers
• Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed
• Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it
• Understanding and relating technology integration scenarios and applying these learnings in projects
• Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken
• Carrying out POCs to make sure that suggested design/technologies meet the requirements