Senior Staff Engineer, Data Science

Summary

Join Nagarro, a Digital Product Engineering company, as a Data Scientist with 10+ years of experience. You will leverage your expertise in various scripting languages (Python, R, etc.), ML frameworks, and big data tools to build and design data solutions. Responsibilities include writing high-quality code, understanding client needs, mapping decisions to requirements, identifying optimal solutions, and defining project guidelines. You will also review architecture and design, develop solutions, understand technology integration, resolve issues, and conduct POCs. A Bachelor's or Master's degree in a related field is required.

Requirements

• Total experience 10+ years
• Strong working experience in Data Science
• Expertise in scripting languages such as Python, R, PySpark, JavaScript, C++, SQL, SAS, and Excel
• Hands-on experience with ML frameworks and statistical modeling: GLM/regression, random forest, boosting, clustering, CNN, RNN, etc
• Experience with big data and distributed computing tools like MapReduce, Hadoop, Hive, Kafka
• Familiarity with cloud technologies such as Azure Data Lake, Azure Machine Learning, Azure Databricks, Jupyter Notebooks, Git
• Experience with Power BI or other data visualization tools
• Strong understanding of AI/ML applications in business and the evolving generative AI landscape
• Excellent communication and presentation skills, including the ability to explain complex models to a non-technical audience
• Demonstrated ability to work in cross-functional teams and dynamic environments
• Bachelor’s or master’s degree in computer science, Information Technology, or a related field

Responsibilities

• Writing and reviewing great quality code
• 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 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