Nagarro Staff Engineer, Data Science \\\| SmartRecruiters Google Chrome Microsoft Edge Apple Safari Mozilla Firefox . Staff Engineer, Data Science Full-time Service Region: South Asia 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: 5+ Years Must have experience in Machine Learning Fundamentals, Data Analysis & Visualization, Statistics & Probability, SQL, Model Packaging & Deployment. Must have hands on generative AI fundamental, RAG, text to SQL. Should have experience in Python or R for Data Science. Should have experience in Classification-regression, Forecasting ,Anomaly detection, Market mix model, Predictive analysis, Unsupervised Models, Recommendation Systems, Natural Language processing & Optimization. Should have experience in Data science on AWS/Azure/GCP. Must have exposure in model deployment using docker/Kubernetes. 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 everyones point of view is considered, and feedback is encouraged. RESPONSIBILITIES: Writing and reviewing great quality code Understanding the clients 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 clients 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. Qualifications Bachelors or masters degree in computer science, Information Technology, or a related field. Videos To Watch I'm interested I'm interested ImprintCookies Settings I'm interested Refer a friend share this job Share on LinkedIn Share on Facebook Share on Twitter Share via email Share on Xing Share on WeChat Share to WeChat × Copy the link and open WeChat to share. Copy to clipboard Open WeChat Share to WeChat × Use Scan QR Code in WeChat and click ··· to share. × Continue Staff Engineer, Data Science Remote, India Full-time I'm interested I'm interested

The role requires a minimum of 5 years of total experience. Essential experience includes Machine Learning Fundamentals, Data Analysis & Visualization, Statistics & Probability, SQL, and Model Packaging & Deployment. Hands-on experience with generative AI fundamentals, RAG, and text to SQL is also a must. Proficiency in Python or R for Data Science is expected, along with experience in various modeling techniques such as Classification-regression, Forecasting, Anomaly detection, Market mix model, Predictive analysis, Unsupervised Models, Recommendation Systems, Natural Language processing, and Optimization. Experience with data science on AWS, Azure, or GCP, and model deployment using Docker or Kubernetes, is required. The position also necessitates strong troubleshooting skills, clarity of thought, and effective communication. A Bachelor's or Master's degree in computer science, Information Technology, or a related field is required.