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 7+ years. Strong working experience in Python. Hands on working knowledge of the DS/ML stack (NumPy, Pandas, SciPy, Scikit-learn, TensorFlow, PyTorch). Working experience in SQL. Hands-on experience with cloud-based data handling and ML workflows (Google Cloud preferred). Experience in building microservice APIs for ML solutions. Exposure to model monitoring technologies. Experience with deploying ML solutions at scale (Kubeflow, VertexAI, Airflow, PySpark). Proficiency with data visualization libraries (matplotlib, seaborn, plotly, etc.) Excellent communication and collaboration skills for working across global teams. 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 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 Bengaluru, India Full-time I'm interested I'm interested

The role requires a minimum of 7 years of total experience. Strong working experience in Python is essential, along with hands-on knowledge of the data science and machine learning stack, including NumPy, Pandas, SciPy, Scikit-learn, TensorFlow, and PyTorch. Proficiency in SQL is also necessary. The position involves working with cloud-based data handling and ML workflows, with a preference for Google Cloud. Experience in building microservice APIs for ML solutions and deploying ML solutions at scale using technologies like Kubeflow, VertexAI, Airflow, and PySpark is required. Exposure to model monitoring technologies and proficiency with data visualization libraries such as matplotlib, seaborn, and plotly are also key. A bachelor's or master's degree in computer science, Information Technology, or a related field is required.