Senior Staff Engineer, Data Science at Nagarro

REQUIREMENTS:

• Total experience: 7+ years.
• Must have experience in Data Science Fundamentals, Data Analysis & Visualization, Statistics & Probability, SQL, Model Packaging & Deployment.
• Define the end-to-end system architecture  including data ingestion, model training/inference, and deployment .
• Strong understanding of statistical concepts and techniques, and experience applying them to real-world problems.
• 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.
• Strong working experience in machine learning, with a proven track record of delivering impactful
• Strong programming skills in Python as well as machine learning libraries such as scikit-learn.
• 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.
• Proactively identify technical risks and propose mitigation strategies.
• 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.

RESPONSIBILITIES:

• Writing and reviewing great quality code.
• Understanding functional requirements thoroughly and analyzing the client's needs in the context of the project.
• Envisioning the overall solution for defined functional and non-functional requirements, and being able to define technologies, patterns and frameworks to realize it.
• Determining and implementing design methodologies and tool sets.
• Enabling application development by coordinating requirements, schedules, and activities.
• Being able to lead/support UAT and production roll outs.
• Creating, understanding and validating WBS and estimated effort for given module/task, and being able to justify it.
• Addressing issues promptly, responding positively to setbacks and challenges with a mindset of continuous improvement.
• Giving constructive feedback to the team members and setting clear expectations.
• Helping the team in troubleshooting and resolving of complex bugs.
• Coming up with solutions to any issue that is raised during code/design review and being able to justify the decision taken.
• Carrying out POCs to make sure that suggested design/technologies meet the requirements

Bachelor’s or master’s degree in computer science, Information Technology, or a related field.