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

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