Senior Data Scientist

Senior Data Scientist

Job type: Contractor (no medical/paid leave).

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 responsible for ensuring that human data generation (on agentic workflows) meets the highest standards of accuracy, nuance, and utility for model training.

Day-to-day

• 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.

You bring

• 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.

Pay

• ~ $100-150/hour.; Commitment: Minimum 30 hours per week (on week days).; Employment
• Commitment: Minimum 30 hours per week (on week days).
• Contractor (no medical/paid leave).