Builds and validates predictive and generative models, and turns data into decisions clients can act on.
What you'll do
- Design and validate machine learning models for prediction, classification, and forecasting
- Partner with engineering to move models from notebook to production
- Analyze structured and unstructured data to surface insight for client decisions
- Build and maintain the data pipelines that feed AI models
- Present findings and model performance clearly to technical and non-technical stakeholders
What you bring
- 3+ years in data science or applied machine learning, with a quantitative degree or equivalent experience
- Strong Python (pandas, scikit-learn) and SQL
- Experience with a deep learning framework such as PyTorch or TensorFlow
- Solid grounding in statistical methods and experiment design
- Ability to explain findings clearly to non-technical audiences
Nice to have
- Experience applying LLMs or generative AI to a business use case
- Domain expertise in retail, financial services, or healthcare data
Pay: $4,904.05 - $10,000.00 per month
Benefits:
- Additional leave
- Flexible schedule
- Professional development
- Unlimited paid time off
Work Location: In person