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