Data Science Expert

Role overview

This opportunity is through a client engagement with a leading AI research lab focused on generative AI. The work centers on helping build the next generation of large language models by applying advanced data science, statistical, and machine learning expertise.

The position calls for an experienced professional who can help create, assess, and improve high-quality training data so AI systems develop stronger reasoning around statistics, analytics, and real-world quantitative problems. You will work alongside researchers and engineers to strengthen analytical rigor and model behavior.

The engagement is based in the United States and requires a full-time commitment of 40 hours per week on weekdays during standard business hours.

Compensation

Pay is set at $70 to $100 per hour.

Key responsibilities

• Advise research and engineering teams on statistical methods, experiment planning, predictive modeling, and sound analytical practice.
• Support improvements in model performance across data science, analytics, and machine learning use cases.
• Design realistic and challenging data science tasks that measure quantitative reasoning, statistical judgment, and machine learning knowledge.
• Prepare solutions that are accurate, clearly structured, and aligned with accepted industry standards.
• Review outputs produced by AI systems and subject matter experts to assess analytical quality.
• Spot mistakes, inconsistent logic, weak assumptions, and other areas that can be strengthened.
• Provide precise, practical feedback to improve reasoning quality and model performance.
• Develop scoring systems and evaluation methods for statistical reasoning, prediction, machine learning workflows, data interpretation, experimental design, and business analytics.
• Maintain consistent quality across datasets and evaluation workflows.
• Work closely with AI researchers, engineers, and domain specialists to keep training data accurate, consistent, and rigorous.

Requirements

• At least 3 years of professional or research experience in data science, statistical analysis, machine learning, predictive analytics, applied mathematics, quantitative research, or business analytics.
• Strong grasp of statistical inference, hypothesis testing, regression analysis, machine learning algorithms, data visualization, and experimental design.
• Experience handling both structured and unstructured datasets.
• Ability to work 40 hours per week on standard weekdays.
• Excellent written communication skills with the ability to explain analytical choices and modeling approaches clearly.

Preferred experience

• Exposure to AI systems, large language models, or agent-based workflows.
• Familiarity with model evaluation, reinforcement learning from human feedback, data annotation, or human-in-the-loop systems.
• Working knowledge of Python, SQL, R, or similar analytical programming languages.
• Experience building and deploying machine learning solutions in production.
• An advanced degree in data science, statistics, computer science, mathematics, economics, operations research, or a related quantitative discipline.

Why this role stands out

• You will contribute directly to state-of-the-art AI development.
• You will collaborate with leading researchers and engineers in artificial intelligence.
• You will help shape how future AI systems reason about data, statistics, and analytical decisions.
• You will work on high-impact projects at the cutting edge of AI innovation.

Engagement details

• The role requires a full-time commitment of 40 hours per week.
• Weekday availability is mandatory.
• This is suited to long-term AI research and evaluation work.
• Project scope and responsibilities may change depending on research priorities and business needs.