Associate Principal Engineer, Data Science

Summary

Join Nagarro, a Digital Product Engineering company, as a Data Scientist with 11+ years of experience. You will be responsible for understanding client needs, designing technical solutions, and collaborating with developers. Strong skills in data science fundamentals, generative AI, Python/R/Scala, and machine learning are required. Experience with cloud platforms and data engineering tools is also essential. You will define guidelines, review designs, and ensure best practices are followed. The role demands excellent communication and collaboration skills.

Requirements

• Total experience 11+ Years
• Strong working experience in Data Science Fundamentals, Data Analysis & Visualization, Statistics & Probability, SQL, Model Packaging & Deployment
• Hands-on experience with Generative AI tools and frameworks
• Strong proficiency in Python, R, or Scala, with experience in libraries such as Pandas, NumPy, Matplotlib, Seaborn, or Altair
• Deep knowledge of machine learning techniques (supervised, unsupervised, ensemble methods), optimization algorithms (e.g., linear programming, metaheuristics), and constraint satisfaction
• Understanding of evaluation metrics for LLMs and best practices to build production-ready GenAI apps
• Experience with cloud platforms (e.g., AWS, Azure, GCP) for ML model training and deployment
• Familiarity with data engineering tools and workflows including ETL pipelines and distributed systems
• Excellent interpersonal and communication skills, with the ability to influence stakeholders and collaborate effectively across functions
• Bachelor’s or master’s degree in computer science, Information Technology, or a related field

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