Senior Data Scientist
Summary
Design and implement AI/ML models, including LLM workflows, to deliver predictive analytics and business insights while mentoring peers and ensuring responsible, scalable solutions.
- Advise stakeholders on analytical tradeoffs and model usefulness
- Apply machine learning and AI methods for classification and forecasting
- Collaborate with Data and AI Engineering teams
- Define data science approaches and measurable outcomes
- Design and execute predictive analytics models
- Establish best practices for methodology selection and documentation
- Evaluate and apply LLM enabled workflows with statistical rigor
- Follow governance privacy and responsible AI standards
- Improve data science delivery with reusable workflows and scalable notebooks
- Lead analytical statistical machine learning workstreams
- Mentor practitioners through technical guidance and quality review
- Perform experimentation analysis and evaluation
- Review analytical deliverables for quality and consistency
- Synthesize modeling outputs into business recommendations
- Translate stakeholder needs into model designs and validation plans
Perks/Benefits:
- Autonomy
- Cross-functional collaboration
- Growth opportunities
- International career opportunities
- Values-driven culture