Data Scientist & Econometrician

Mercor is hiring Data Scientists / Econometricians on behalf of a leading AI Lab developing the next generation of analytically grounded, decision-intelligent systems. This unique role invites you to apply your advanced data science, econometrics, and experimentation expertise to collaborate with AI researchers and engineers — training, evaluating, and refining models that reason about complex systems, human behavior, and strategic interactions.

Responsibilities

• Work closely with AI research teams to design, run, and interpret experiments on model behavior, economic dynamics, and system-level interactions.

• Apply rigorous econometric techniques, causal inference frameworks, and advanced statistical modelling to enhance both human and machine analytical accuracy.

• Evaluate AI models’ outputs for coherence, calibration, causal consistency, and alignment with structured empirical reasoning — provide expert feedback on model errors, biases, and methodological gaps.

• Design, participate in, and review experimentation frameworks, analytic pipelines, and quantitative challenge problems focused on turning complex data into actionable insight.

• Participate in synchronous collaboration sessions (4-hour windows, 2–3 times per week) to review experiment portfolios, debate methodologies, refine analyses, and align human–machine reasoning.

Requirements

• Advanced degree or extensive professional experience in Econometrics, Statistics, Economics, Data Science, Machine Learning, or a related quantitative field.

• Proven track record of conducting high-quality empirical analysis, experimentation, causal inference, or system-level modelling in industry or academia.

• Strong competency in econometric methods, experiment design, causal reasoning, statistical modelling, and quantitative interpretation.

• Proficiency with analytical and statistical software (e.g., Python, R, SQL, JAX/NumPy, or related toolchains) is highly valued.

• Excellent written and verbal communication, strong analytical reasoning, and collaborative mindset.

• Commitment of 20–30 hours per week, including required synchronous collaboration periods.

Why Join

• Collaborate with a world-class AI research lab to influence how intelligent systems analyse data, understand causal structure, and reason about complex economic or social environments.

• Play a key role in shaping the way AI models learn from experimentation, absorb structured statistical reasoning, and simulate real-world system dynamics.

• Work alongside leading experts in data science, econometrics, experimentation, and AI — bridging rigorous empirical reasoning and advanced model development.

• Join a global network of expert analysts helping build AI systems grounded in disciplined, accurate, data-driven insight.

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

Contract and Payment Terms

• You will be engaged as an independent contractor.
• This is a fully remote role that can be completed on your own schedule.
• Projects can be extended, shortened, or concluded early depending on needs and performance.
• Your work at Mercor will not involve access to confidential or proprietary information from any employer, client, or institution.
• Payments are weekly on Stripe or Wise based on services rendered.
• Please note: We are unable to support H1-B or STEM OPT candidates at this time.

About Mercor

Mercor partners with leading AI labs and enterprises to train frontier models using human expertise. You will work on projects that focus on training and enhancing AI systems. You will be paid competitively, collaborate with leading researchers, and help shape the next generation of AI systems in your area of expertise.