REQUIREMENTS:
- Experience: 5+ Years
- 5 years of experience in data science, machine learning, or related field
- Analyse complex data sets to identify trends, patterns, and insights
- Develop and deploy predictive models using machine learning algorithms
- Collaborate with cross-functional teams to integrate data insights into business decisions
- Design and implement data visualizations to communicate findings to stakeholders
- Stay up to date with new tools, technologies, and methodologies in data science
- Mentor junior data scientists and contribute to the growth of the team
- Strong expertise in Python, R, or SQL
- Experience with machine learning libraries (e.g., scikit-learn, TensorFlow)
- Knowledge of statistical modeling and data visualization techniques
- Strong problem-solving skills and attention to detail
- Excellent communication and collaboration skills
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.
