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# Data Scientist

- **Company:** CCS, LLC
- **Location:** Plano, TX, United States
- **Salary:** $128,960.0 - $139,360.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Data Analysis, Artificial Neural Networks, Cloud Computing, Data Infrastructure, Data Mining, Python (Programming Language), Azure Machine Learning, SQL Databases, Pytorch, Git, Build Management, Scikit Learn, Statistics Packages, Data Analytics, Machine Learning Operations, Software Version Control
- **Published:** August 9, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=b827883dd79b3647

## About the Role

* Master's degree (or higher) in a quantitative field, or equivalent professional experience
 * Strong Python skills, with hands-on experience in libraries like scikit-learn, statsmodels, or PyTorch
 * Solid grounding in statistical and ML methods (regression, time series, predictive modeling, tree-based methods, neural networks, etc.)
 * Experience with SQL for data extraction and manipulation
 * Familiarity with version control (Git) and CI/CD for model deployment
 * Comfort working in cloud ML environments (AWS SageMaker, Azure ML, or similar)
 * A track record of applying data science to real business problems, not just academic settings
 * Strong communication skills - able to translate technical findings for non-technical audiences
 * Experience modernizing legacy data infrastructure is plus
 * History of driving cross-team initiatives without direct authority is preferred

## Description

We're looking for a Data Scientist who can turn complex data into clear, actionable insights and help us move models from idea to production., * Partner with business stakeholders to identify high-impact questions and translate them into data-driven answers

 * Clean, prepare, and analyze data from multiple sources
 * Build and deploy predictive/prescriptive models that solve real business problems
 * Communicate findings through clear visualizations and reporting
 * Ship models to production within our cloud infrastructure
 * Contribute to planning and prioritization of data initiatives
 * Keep current with new tools and techniques in the field


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