REQUIREMENTS:
- Experience: 7+ 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.
- Master’s or Ph.D. in Data Science, Computer Science, Statistics, or a related field.
RESPONSIBILITIES:
- 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.
Bachelor’s or master’s degree in computer science, Information Technology, or a related field.
