Staff Data Science Engineer

Summary

Join Nagarro, a rapidly growing Digital Product Engineering company, as a senior data scientist. You will leverage your 7+ years of experience in machine learning, data analysis, and AI to design and develop innovative solutions for our clients. Responsibilities include writing high-quality code, understanding client needs, and translating them into technical designs. You will also mentor team members and contribute to a collaborative, flat organizational structure. A bachelor's or master's degree in a related field is required. The role requires proficiency in various technologies and a strong ability to troubleshoot and explore new technologies.

Requirements

• Experience : 7+ Years
• Must have experience in Machine Learning Fundamentals, Data Analysis & Visualization, Statistics & Probability, SQL, Model Packaging & Deployment
• Must have experience in prompt engineering, RAG & Generative AI
• Should have experience in Python or R for Data Science
• Should have experience in Classification-regression, Forecasting, Unsupervised Models, Recommendation Systems, Natural Language processing & Optimization
• Should have experience in Data science on AWS/Azure/GCP
• Strong troubleshooting skills in different disparate technologies and environments
• Should be enthusiastic about different areas of work and exploring new technologies
• Should have clarity of thought and strong communication skills to effectively pitch solutions
• Must have ability to explore and grasp new technologies
• Must be capable of mentoring team members in projects and helping them keep up with new technologies
• Should be empowering the team members to be solution providers and enable a flat environment where everyone’s point of view is considered, and feedback is encouraged
• Bachelor’s or master’s degree in computer science, Information Technology, or a related field

Responsibilities

• Writing and reviewing great quality code
• 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
• Should be open to travel onsite once a month