Senior Staff Engineer, Data Science

Nagarro
Summary
Join Nagarro, a Digital Product Engineering company, as a Data Scientist with 10+ years of experience. You will leverage your expertise in data science libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch), programming languages (Python, PySpark, C++, JavaScript, R, SAS, SQL), and big data platforms (Hadoop, Hive, Spark, Kafka) to build innovative solutions. Responsibilities include writing and reviewing high-quality code, understanding client needs, designing solutions, defining guidelines, and resolving issues. You will also conduct POCs and ensure adherence to best practices. A strong analytical mindset, excellent communication skills, and experience with Generative AI tools are essential. A Bachelor's or Master's degree in a related field is required.
Requirements
- Total experience 10+ years
- Strong proficiency in Data Science , with experience in libraries like Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch
- Expertise in Python, PySpark, C++, JavaScript, R, SAS, Excel, SQL
- 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