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# Data Scientist

- **Company:** GRITHR SOLUTIONS, LLC
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Continuous Integration, Data Cleansing, Data Governance, Data Mining, Data Visualization, Data Intelligence, Python (Programming Language), Machine Learning, Power BI, Azure Machine Learning, SQL Databases, Data Processing, Cloud Platform System, Feature Engineering, Azure Data Factory, Large Language Models, Model Validation, Generative AI, Machine Learning Operations, Software Version Control, Data Pipelines, Databricks
- **Published:** September 23, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/n5vqoc9fht

## About the Role

* 5+ years of experience in Data Science / Machine Learning / AI.
 * Strong hands-on experience with Python, SQL & data manipulation libraries.
 * Expertise in Azure Databricks, Azure ML & MLflow.
 * Experience with Master Data Governance and data quality.
 * Strong knowledge of statistical analysis, predictive modeling & visualization.
 * Understanding of cloud-based data platforms and scalable ML architectures.

Preferred / Nice to Have

 * Generative AI / LLM experience.
 * MLOps & ML CI/CD practices.
 * Power BI or other visualization tools.
 * Agile development experience.
 * Azure Data Engineering / AI-ML certifications.
 * Exposure to enterprise data governance & compliance.

## Description

* Design, develop & deploy ML/AI models for business use cases.
 * Drive predictive analytics, data mining & data intelligence initiatives.
 * Support Master Data Governance (MDG) and data quality initiatives.
 * Develop and optimize data pipelines & ML workflows using Azure Databricks.
 * Build, train, evaluate & deploy models using Azure Machine Learning.
 * Manage experiment tracking, model versioning & lifecycle using MLflow.
 * Perform data preprocessing, feature engineering & model tuning.
 * Monitor model performance, scalability, reliability & accuracy.
 * Create dashboards and visualizations to communicate analytical insights.
 * Collaborate with business and technical teams to deliver analytical solutions.


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