Data Scientist

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