Requirements :

- Experience : 5+ Years

- Proven experience in a data science leadership role, with a strong track record of delivering successful projects.

- Expertise in Python and its data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).

- Strong knowledge of statistical analysis, machine learning, and data mining techniques.

- Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, GCP) is a plus.

- Excellent problem-solving skills and the ability to think critically and analytically.

- Strong communication and interpersonal skills to effectively lead a team and interact with stakeholders.

- Masters or Ph.D. in Data Science, Computer Science, Statistics, or a related field.

Responsibilities :

- Understanding the clients 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.