Senior Staff Engineer, Data Science at Nagarro

, , India -

Full Time

Start Date

Immediate

Expiry Date

19 Jul, 26

Salary

0.0

Posted On

20 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Python, R, SQL, Machine Learning, Generative AI, Prompt Engineering, RAG, Statistics, Data Visualization, Cloud Computing, AWS, Azure, GCP, Natural Language Processing, System Architecture

Industry

IT Services and IT Consulting

Description

Company Description 👋🏼We're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (17500+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in! Job Description 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 Qualifications Bachelor’s or master’s degree in computer science, Information Technology, or a related field. Service Region: South Asia

Responsibilities

The role involves defining end-to-end system architecture for data science projects and writing high-quality code for model training and deployment. You will also lead technical teams, conduct code reviews, and mentor members to ensure project success and continuous improvement.