Data Scientist

Key Responsibilities:
Collaborate with stakeholders across business units to identify data-driven opportunities and develop innovative business solutions
Analyze complex datasets using advanced statistical methods to uncover hidden patterns and generate actionable insights
Design and develop customized machine learning and AI algorithms tailored to specific customer requirements
Create scalable, reusable AI/ML/statistical models that can be deployed across multiple business units with minimal customization
Translate analytical findings into clear, actionable recommendations for business and product improvement
Partner with product and engineering teams throughout the project lifecycle to ensure data requirements are well-defined and properly captured
Lead product and project initiatives independently while providing technical guidance and mentorship to team members
Develop and maintain interactive dashboards using tools such as Power BI to communicate algorithm results and insights to stakeholders
Communicate complex analytical concepts effectively to audiences at all organizational levels through clear, data-driven storytelling
Technical Responsibilities:
Perform comprehensive data exploration, preprocessing, data transformation, validation, reconciliation, feature engineering, and quality assurance using Python
Apply analytical and advanced machine learning algorithms including regression, classification, clustering, support vector machines, decision trees, random forests, and neural networks
Implement specialized analytics techniques such as design of experiments, forecasting, segmentation, and uncertainty analysis
Develop and deploy APIs and web applications using Flask or Django frameworks
Deploy models to cloud platforms such as Azure or AWS with containerization using Docker and CI/CD pipelines
Develop efficient and maintainable Python solutions for processing, transforming, validating, and reconciling large datasets, including handling millions of records
Implement deterministic business logic, configurable validation rules, error handling, and data-quality checks for complex real-world datasets
Qualifications
B.E / B.Tech or equivalent technical qualification
Strong programming fundamentals in Python and experience working with structured and large-scale datasets.
Additional Information
3 to 6 years
B.E

Employment type
Full-time

Work arrangement
No