The Senior Staff Engineer, Data Science will oversee projects involving data science, architecture design, and ensure technical requirements meet client needs functionally and non-functionally.
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 DescriptionREQUIREMENTS:
- 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.
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.
Bachelor’s or master’s degree in computer science, Information Technology, or a related field.
Top Skills
Azure Data Lake
Azure Databricks
Azure Machine Learning
C++
Excel
Git
Hadoop
Hive
JavaScript
Jupyter Notebooks
Kafka
Mapreduce
Power BI
Pyspark
Python
R
SAS
SQL
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