Data Scientist-Remote India
Remote
Full Time
Mid Level
HIRING….
We are looking for Data Scientist to support our US team.
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
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
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).
Should you be interested in the role, please do not hesitate to reach out or send your most updated cv so we can discuss it further.
If you are interested send your CV’s to [email protected]
We are looking for Data Scientist to support our US team.
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
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
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).
Should you be interested in the role, please do not hesitate to reach out or send your most updated cv so we can discuss it further.
If you are interested send your CV’s to [email protected]
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