Applied AI Data Scientist
You'll work on a mix of client projects and internal research initiatives, solving real-world problems and helping build meaningful products. You'll build data-driven solutions, leverage machine learning models, and use your creativity to deliver results that matter. Beyond client work, you'll have the opportunity to propose and pursue high-impact research projects, especially those aligned with the mission of increasing agency, and promising projects could even become prioritized skunkworks initiatives.
Responsibilities
- Work on a mix of client projects and internal research initiatives
- Build data-driven solutions and leverage machine learning models
- Propose and pursue high-impact research projects
- Contribute to AI alignment research
- Manage client relationships and deliver results
Requirements
- Fluency in Python
- Experience with LLM lifecycle: prompt design/engineering, prompting techniques (RAG, few-shot, CoT, etc.), vector databases, multimodality, fine-tuning, and evaluation
- Proven data science experience delivering results with real-life outcomes
- Statistical & causal ML fundamentals: experimental design, uncertainty quantification, and rigorous model evaluation across tabular, time-series, and foundation-model fine-tuning tasks
- Deep learning experience building/training NLP or computer vision models with PyTorch, TensorFlow, or JAX
- Experience with Agile & AI-powered development using lean Kanban/Scrum cycles and AI-powered tools like Cursor
- Growth mindset
- Self-management and ability to work independently
- Product and UX understanding
- Effective communication in English
Benefits
- Remote-first culture
- Flexible schedules
- Diversified employee equity program
- Health insurance
- Free lunches (at the office)
- Weekly knowledge-sharing talks
- Annual team retreat
- Equity in client projects and Skunkworks ventures