Azure - Data Scientist (Remote)
5 days ago
Location: Remote India
Employment Type: Full-time Independent Contractor
Duration: Open-ended contract
Shift: Starts between 12pm to 2pm IST (8 hours shift)
Equipment: Company Provided
Requirements:
- Proven experience in data pipeline design and development using Azure Data Factory, Synapse, or Databricks
- Strong background in mathematics, probability, and statistical modeling
- Proficiency in Python (Pandas, NumPy, PySpark, scikit-learn) for data wrangling and analytics
- Hands-on experience with Azure Data Lake, Blob Storage, and Azure Machine Learning
- Familiarity with ML model deployment workflows and performance monitoring
- Experience with data versioning, experiment tracking, and reproducibility frameworks (e.g., MLflow, DVC).
Responsibilities:
- Build, enhance, and maintain data pipelines using Azure Data Factory, Synapse Analytics, and Databricks
- Ingest, explore, and preprocess structured and unstructured data from diverse sources
- Ensure data quality, transformation, and governance across ingestion and storage layers
- Optimize data storage and retrieval within Azure Data Lake Storage and Blob Storage
- Perform exploratory data analysis (EDA) and statistical profiling using Azure Machine Learning Notebooks or Azure Databricks
- Assess data quality, detect anomalies, and recommend data cleansing and enrichment strategies
- Collaborate closely with Machine Learning Engineers and Solution Architects to prepare, deploy, and monitor models in production environments
- Design and implement automated retraining and monitoring pipelines to detect model drift and ensure sustained accuracy
- Ensure reproducibility of experiments and maintain version control for models, datasets, and scripts
- Develop and maintain data documentation and metadata catalogs to ensure transparency and reusability
- Support data-driven decision-making by building analytical datasets, KPIs, and performance dashboards
Job Type: Full-time
Pay: ₹ ₹1,600.00 per hour
Benefits:
- Work from home
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