REQUIREMENTS:
- Experience: 10+ Years
- Proven experience as a Data Scientist or in a similar role.
- Hands-on experience is required in ML forecasting
- Proficiency in programming languages such as Python
- SQL knowledge querying, join, group by ,where , sub query is preferred
- Strong knowledge of machine learning packages & algorithms and statistical modelling.
- Strong knowledge of EDA, Data wrangling, ML packages, timeseries processing and feature engineering, demand forecasting
- Excellent problem-solving skills and the ability to think critically.
- Problem-solving aptitude, Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
- Experience with deep learning frameworks such as TensorFlow or PyTorch is a plus.
- Knowledge of cloud computing platforms such as AWS, Azure, or Google Cloud is a plus.
- Experience with big data platforms is a plus.
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.
