- 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 effective data ingestion, transformation, and analytics workflows.
- Build, train, evaluate, and deploy machine learning models for business and operational use cases.
- Strong 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 - Remote (India)
🏢 UST
📍 India