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CCS INC

Data Scientist

CCS INC Plano, Texas, United States · $129K–$139K/yr

Automation Machinery Manufacturing · 11-50 employees

7 h ago
data-scientist Mid (2-5 yrs) Full-time United States
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About the role

Partner with business stakeholders to identify high-impact questions and translate them into data-driven answers. Build, deploy, and maintain predictive and prescriptive models within a cloud infrastructure.

What they look for

Python Scikit-learn Statsmodels PyTorch Statistical methods Machine learning Regression Time series Predictive modeling Neural networks SQL Git CI/CD AWS SageMaker Azure ML Data visualization

Requirements

Requires a Master's degree or higher in a quantitative field and strong proficiency in Python and machine learning libraries. Candidates must have experience with SQL, version control, and applying data science to real-world business problems.

Benefits

Dental insurance Health insurance Vision insurance

Full description

Benefits:

  • Dental insurance
  • Health insurance
  • Vision insurance

About the Role 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.

Qualifications

  • 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

Responsibilities

  • 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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