Staff Data Science Engineer

Summary

Join Nagarro, a rapidly growing Digital Product Engineering company with a global presence, as a Data Science Team Lead. You will leverage your 7+ years of experience to lead and mentor teams, design and implement cloud architecture solutions, and apply generative AI. Strong Python skills, problem-solving abilities, and excellent communication are essential. You will be responsible for translating client needs into technical designs, guiding development, and ensuring projects meet requirements and best practices. A Bachelor's or Master's degree in a related field is required.

Requirements

• Have 7+ years of experience
• Have proven experience as a team lead in data science or related fields
• Be capable in designing and implementing cloud architecture solutions
• Have strong expertise in Python for data science
• Be capable in applying generative AI fundamentals
• Have excellent problem-solving and analytical skills
• Have strong communication and interpersonal skills
• Have the ability to work collaboratively with cross-functional teams
• Have experience in project management and delivering projects on time and within scope
• Have strong attention to detail and organizational skills
• Have a Bachelor’s or master’s degree in computer science, Information Technology, or a related field

Responsibilities

• Understand the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements
• Map decisions with requirements and be able to translate the same to developers
• Identify different solutions and be able to narrow down the best option that meets the client’s requirements
• Define guidelines and benchmarks for NFR considerations during project implementation
• Write and review design document explaining overall architecture, framework, and high-level design of the application for the developers
• Review 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
• Develop and design the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it
• Understand and relate technology integration scenarios and apply these learnings in projects
• Resolve issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken
• Carry out POCs to make sure that suggested design/technologies meet the requirements