Senior Staff Engineer, Data Science

Summary

Join Nagarro, a Digital Product Engineering company, as a highly experienced Data Scientist with 11+ years of experience. You will leverage your expertise in Python, R, or Scala for data science, machine learning, and generative AI. Responsibilities include writing high-quality code, understanding client needs, designing solutions, and collaborating with cross-functional teams. You will apply your deep understanding of machine learning fundamentals, big data platforms, and cloud-based ML platforms to solve complex problems. A strong analytical mindset and excellent communication skills are essential. The ideal candidate possesses expertise in Generative AI tools and frameworks and a proven track record in applying optimization methods.

Requirements

• Total experience 11+ years
• Strong proficiency in Python for Data Science , with experience in libraries like Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch
• Hands on working experience in R or Scala
• Deep understanding of machine learning fundamentals, data manipulation, and statistical techniques
• Expertise in Generative AI tools and frameworks such as LangChain, LlamaIndex, and LLM fine-tuning
• Expertise in ML/DL techniques, including regression, clustering, random forests, CNN, RNN, etc
• Experience with big data platforms: Hadoop, Hive, Spark, Kafka
• Familiarity with cloud-based ML platforms : Azure ML, Azure Data Lake, Databricks
• Ability to visualize data using Power BI or similar tools
• Proven track record in applying metaheuristics and other optimization methods to real-world problems
• Strong analytical mindset with the ability to analyze large datasets, derive insights, and drive business decisions
• Excellent communication skills and the ability to collaborate effectively with cross-functional teams
• 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