- CCS INC
- Plano, TX
- Full-Time
- 49 days ago
Data Scientist.
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Data Scientist: our view in 3 lines...
- The Role:This role is for a data scientist who turns complex data into actionable insights and helps move models into production.
- The Person:The person will identify business questions, clean and analyse data, build and deploy predictive and prescriptive models, communicate findings, and help plan data initiatives.
- Requirements:The ideal candidate has a Master's degree or equivalent experience, strong Python skills, experience with scikit-learn, statsmodels or PyTorch, SQL, Git, CI/CD, and cloud ML environments such as AWS SageMaker or Azure ML.
About the role
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.
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
