• Minimum 5Yrs experience required
• Proven experience in a Data Analytics or Data Science role with a strong focus on Exploratory Data Analysis (EDA), data profiling, and pattern discovery.
• Expert-level proficiency in Python and PySpark for large-scale data processing, feature engineering, statistical analysis, predictive modeling, and machine learning.
• Extensive hands-on experience working with large, complex datasets in the Databricks platform and distributed computing environments.
• Design, develop, and optimize data pipelines for efficient data ingestion, transformation, and analytics workflows.
• Build, train, evaluate, and deploy machine learning models for business and operational use cases.
• Solid understanding of statistical concepts,



probability distributions, hypothesis testing, anomaly detection, and predictive analytics.
• Create impactful dashboards, reports, and visualizations using Tableau, enabling data-driven decision-making.
• Collaborate with cross-functional teams to translate business requirements into analytical solutions and actionable insights.
• Perform data quality assessments, identify data issues, and implement data governance best practices.
• Leverage cloud-based analytics and machine learning services within the AWS ecosystem.

📌 Data Scientist (Bengaluru)
🏢 UST
📍 Bengaluru