Data Scientist

Key Responsibilities

Apply statistical analysis, machine learning, and predictive modeling to develop business-driven solutions.Build and optimize models for classification, regression, and causal inference.Work with supervised learning methods including XGBoost, Ridge, ElasticNet, and Neural Networks.Design and implement predictive analytics models for real-world use cases.Apply causal inference and optimization techniques to derive actionable insights.Collaborate with cross-functional teams (data engineers, business analysts, stakeholders) to integrate models into production systems.Perform model validation, performance evaluation, and tuning to ensure scalability and accuracy.Communicate findings and insights effectively to both technical and non-technical stakeholders.Skills & Expertise Required

Strong knowledge in Machine Learning & Predictive Analytics.Hands-on experience with models: XGBoost, Ridge Regression, ElasticNet, Neural Networks.Expertise in causal inference and optimization methodologies.Proficiency in Python/R for statistical modeling and data manipulation.Experience with SQL and working with large datasets.Solid understanding of statistical concepts, data visualization, and feature engineering.Preferred Skills

Exposure to cloud-based ML platforms (AWS, Azure, GCP).Knowledge of MLOps and deployment of models into production.Familiarity with Big Data tools (Spark, Hadoop).

Job Type: Full-time

Pay: ₹1,300,000.00 - ₹1,600,000.00 per year

Work Location: In person