Nagarro is hiring a
Senior Staff Engineer (Data Scientist)

Summary

Join our team at Nagarro as a Data Scientist and contribute to building products, services, and experiences that inspire and delight. We're looking for someone with 10+ years of experience in data science, machine learning, and programming languages like Python.

Requirements

• Experience: 10+ Years
• Proven experience as a Data Scientist or in a similar role
• Hands-on experience is required in ML forecasting
• Proficiency in programming languages such as Python
• SQL knowledge querying, join, group by ,where , sub query is preferred
• Strong knowledge of machine learning packages & algorithms and statistical modelling
• Strong knowledge of EDA, Data wrangling, ML packages, timeseries processing and feature engineering, demand forecasting
• Excellent problem-solving skills and the ability to think critically
• Problem-solving aptitude, Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders
• Experience with deep learning frameworks such as TensorFlow or PyTorch is a plus
• Knowledge of cloud computing platforms such as AWS, Azure, or Google Cloud is a plus
• Experience with big data platforms is a plus
• 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