Senior Data Scientist

About the Role

Exciting opportunity to work directly with researchers at a top 8 Frontier Lab. In this role you will design challenging real-world problems in data science, ML, and coding to test and improve state of the art LLMs. You will be part of a peer group of top STEM & ML Phds as a part of the program. You will be responsible for ensuring that human data generation (on agentic workflows) meets the highest standards of accuracy, nuance, and utility for model training.

Responsibilities

• Agentic Oversight: Design and implement frameworks to guide, monitor, and validate the data outputs generated by agentic taskers to ensure they align with gold-standard benchmarks.
• Methodology Development: Develop new methodologies to improve the performance of models through superior training data, including innovative approaches to data collection and insight generation.
• AI Integration: Utilize AI models and tools as integral components for evaluate synthesizing, and understanding complex datasets to drive data quality.
• Cross-Functional Partnership: Act as a critical technical partner, collaborating closely with Research, Engineering, and Product teams to define data excellence across the organization.
• Outcome Ownership: Solve ambiguous problems and influence stakeholders to ensure data intelligence outcomes directly support product and business objectives.

Required Qualifications

• Advanced Academic Background: PhD degree in a quantitative field such as Computer Science, Statistics, Mathematics, or a related domain.
• Extensive Analytical Experience: 10 years of experience using analytics to solve complex product or business problems, including querying databases and performing advanced statistical analysis.
• Technical Proficiency: Mastery of coding languages such as Python, R, or SQL for data manipulation, modeling, and automation.

Offer Details

• Rate: ~ $100-150/hour.
• Commitment: Minimum 30 hours per week (on week days).
• Employment Type: Contractor (no medical/paid leave).
• Duration: 3 months (expected start date: next week).
• Locations: North America, Europe.