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172 Godrej Industries Jobs
Data Scientist
Godrej Industries
posted 16d ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
- Data Cleaning, Preprocessing exploration: Prepare data for analysis, ensuring quality, consistency, and completeness by handling missing values, outliers, and transforming data. Explore and analyze large and complex datasets to identify patterns, trends, and anomalies
- Machine Learning Model Development: Build, train, and deploy machine learning models on the Databricks platform, leveraging tools such as ML flow for experiment with techniques like regression, classification, clustering, and time series analysis
- Model Evaluation Deployment: Develop and select features to improve model performance, leveraging Databricks distributed computing capabilities for efficient processing. Familiarity with CI/CD tools (e.g., Jenkins, GitLab) for automating deployment and testing of data pipelines
- Collaboration: Collaborate with data engineers, analysts, and business stakeholders to understand business requirements and translate them into data-driven solutions.
- Data Visualization and Reporting: Create visualizations and dashboards within Databricks, Power BI and other tools to communicate insights to technical and non-technical stakeholders.
- Continuous Learning: Stay up to date with the latest developments in data science, machine learning, and industry best practices to continually enhance skills and processes.
- Knowledge of statistical analysis techniques, hypothesis testing, and machine learning
- Familiarity with NLP, time series analysis, and computer vision or A/B testing
- Databricks and Apache Spark: Proficiency with Databricks, Spark DataFrames and MLlib
- Programming: Proficiency in (Python, TensorFlow, Pandas, scikit-learn, PySpark, NumPy) with experience in writing scalable code for large datasets
- SQL: Strong SQL skills for data extraction, manipulation, and analysis
- Familiarity with ML flow for tracking, model versioning, and reproducibility.
- Familiarity with cloud data storage and processing tools (e.g., Azure Data Lake, AWS S3).
- Education: Bachelor s degree in Statistics, Mathematics, Computer Science, or a related field
Employment Type: Full Time, Permanent
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