Senior Staff Engineer, Data Science

Company Description

👋🏼Were 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 nonhierarchical. Were looking for great new colleagues. Thats where you come in!

Job Description

REQUIREMENTS:

• Total experience 10+ years.
• Strong proficiency in Python for Data Science, with experience in libraries like Pandas, NumPy, Scikitlearn, 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 finetuning.
• Expertise in MLDL techniques, including regression, clustering, random forests, CNN, RNN, etc.
• Experience with big data platforms: Hadoop, Hive, Spark, Kafka
• Familiarity with cloudbased 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 realworld 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 crossfunctional teams.

• 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 highlevel 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 nonfunctional 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 codereview, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken.
    • Carrying out POCs to make sure that suggested designtechnologies meet the requirements.

    • Qualifications

      Bachelor’s or master’s degree in computer science, Information Technology, or a related field.