Data Scientist

CCS INC; Plano (TX); On-site; USD 110,000 - 150,000; Full time

Benefits offered by this job

Dental insurance

Health insurance

Vision insurance

Job summary

CCS INC in Plano, TX is seeking a Data Scientist who can turn complex data into clear, actionable insights and help move models from idea to production within our cloud infrastructure. You will partner with business stakeholders to translate questions into data-driven answers, build and deploy models, and communicate findings with compelling visuals to non-technical audiences.

The role requires a Master’s degree or higher in a quantitative field, strong Python skills, experience with ML methods,

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)
• 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

Skills

Python

scikit-learn

PyTorch

SQL

Git & CI/CD

Cloud ML

Business insight

Communication

Legacy data

Cross-team initiatives

Education

Master's degree or higher in quantitative field

Tools

Git

AWS SageMaker

Azure ML

Job 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