Data Scientist

CcsPlano, TX

About The Position

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. The company is passionate about CX. The collective experiences in leadership roles across firms enable CCS to bring passion, perspective, data-driven decision making to guide, advise, and support organizations throughout their CX journey. We are a “people” company. We are a flat organization. We believe the best idea win. We believe in radical truth. We attract strong-minded people with fierce intellect. Mission Statement: CCS is recognized as a leader in the Contact Center space. Our longstanding history and industry-leading position speak to our success in providing CX solutions centered around the leaders in contact center solutions and strategic technology partners that empower organizations to actualize ROI and sustain a truly competitive advantage in a fast-changing CX environment.

Requirements

  • 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

Nice To Haves

  • 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

Benefits

  • Dental insurance
  • Health insurance
  • Vision insurance
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