Associate Staff Engineer (Data Science)

• Must have experience in Data Science Fundamentals, Data Analysis & Visualization, Statistics & Probability, SQL, Model Packaging & Deployment.
• Must have experience in prompt engineering, RAG & Generative AI.
• Should have experience in Python or R for Data Science.
• Should have experience in Classification-regression, Forecasting, Unsupervised Models, Recommendation Systems, Natural Language processing & Optimization.
• Should have experience in Data science on AWS/Azure/GCP.
• Strong troubleshooting skills in different disparate technologies and environments.
• Should be enthusiastic about different areas of work and exploring new technologies.
• Should have clarity of thought and strong communication skills to effectively pitch solutions.
• Must have ability to explore and grasp new technologies.
• Must be capable of mentoring team members in projects and helping them keep up with new technologies.
• Should be empowering the team members to be solution providers and enable a flat environment where everyone s point of view is considered, and feedback is encouraged.

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 client s 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.
• Should be open to travel onsite once a month.

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