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About the role
- Key Responsibilities a. Data Science & Machine Learning Design, develop, validate, and deploy machine learning and statistical models to solve complex business problems. Develop predictive, prescriptive, and anomaly detection models to support business functions and strategic initiatives. Conduct model evaluation, performance monitoring, and continuous improvement to ensure accuracy and effectiveness. b. Data Analysis & Engineering Perform data wrangling, cleansing, transformation, and feature engineering on structured and unstructured datasets. Conduct exploratory data analysis (EDA) to identify trends, patterns, correlations, and business opportunities. Collaborate with data engineering teams to optimize data pipelines and ensure data quality, scalability, and reliability. c. Analytics & Insights Translate business requirements into analytical solutions and recommend data-driven actions. Design and execute statistical analyses, hypothesis testing, and A/B testing frameworks to measure business impact and support decision-making. Generate actionable insights through advanced analytics techniques and communicate findings effectively to stakeholders. d. Visualization & Reporting Develop interactive dashboards, reports, and visualizations using tools such as Power BI, Tableau, or similar BI platforms. Present analytical findings and model outcomes to business leaders and cross-functional teams in a clear and meaningful manner. Support executive decision-making through insightful reporting and performance monitoring. 2. Required Skills SQL SAS Python R Data Science Classical Machine Learning Anomaly Detection A/B Testing 3. Experience 5-7 Years 4. Educational Qualification BE/B.Tech in Computer Engineering, Information Technology, Computer Science, or related discipline.
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