Data Scientist

KEY RESPONSIBILITIES:

Understanding business analytical and data science requirements, design feature engineering and build them with optimum solutioning

Experience in curating recommendation and fraud detection

Expert in writing complex SQL for data munging and preparation

Manage and monitor deployed data models

Experience in orchestrating data science pipeline, code deployments and automation

Experience in productivity tools such as Jira, Confluence

REQUIREMENTS:

Experience in ML life cycle – experiments, development & testing

Experience in advance SQL and NoSQL concepts and have delivered successful projects

Experience in managing deployment using CI/CD and code management on likes of GIT & Jenkins

Develop and implement advanced machine learning algorithms and statistical models to solve complex business problems

Experience in working with structured and unstructured high-volume data to solve complex problems

Experience on productivity tools like Jira & Confluence

Exposure on Agile way of working

SKILLS REQUIREMENTS:

Strong analytical and problem-solving skills with a proven ability to translate business requirements into technical solutions.

Proficiency in data manipulation, analysis, and visualization using tools such as Python, R, SQL, and Tableau.

Expert in Python Django web framework

Experience with machine learning libraries and frameworks (e.g., scikit-learn, TensorFlow, PyTorch) to build and deploy predictive models.

Solid understanding of statistical concepts and techniques, including hypothesis testing, regression analysis, and clustering.

Excellent communication and presentation skills, with the ability to convey complex technical concepts to non-technical audiences.

Strong project management skills with the ability to prioritize tasks, manage timelines, and deliver results in a fast-paced environment.

Full time