Staff Engineer, Data Science
2 weeks ago
Staff Engineer, Data Science
Company DescriptionWe'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 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 6+ years.
- Hands on working experience in Python
- Experience with data visualization libraries (e.g., matplotlib, seaborn, plotly)
- Strong working experience grasp of DS stack packages: SciPy, scikit-learn, TensorFlow, PyTorch, NumPy, Pandas
- Basic to intermediate SQL skills
- Experience working with GCP.
- Hands-on experience deploying ML solutions using Kubeflow, Vertex AI, Airflow, or PySpark
- Excellent communication and collaboration skills for working across global 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 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.
Experience LevelSenior Level-
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