Data Science Specialist

Mercor; United Kingdom; Remote; GBP 60,000 - 80,000; Part time

Job summary

A leading AI research company is seeking a Data Science Specialist to develop data pipelines and machine learning models. You will work remotely and are expected to have strong skills in Python and machine learning. Responsibilities include building dashboards and conducting statistical analyses to evaluate AI systems. Compensation is part-time with a base pay of $14 per hour, plus potential bonuses for tasks completed.

Qualifications

• Strong background in data science, machine learning, or applied statistics.
• Proficient in Python, SQL, and familiar with relevant libraries.
• Understanding of probabilistic modeling and experimentation frameworks.
• Experience with large-scale data systems.
• Ability to collect, clean, and transform complex datasets.

Responsibilities

• Develop data collection and preprocessing pipelines.
• Build and iterate on machine learning models.
• Design and maintain dashboards and visualization tools.
• Conduct statistical analyses on AI systems.
• Collaborate on evaluation frameworks for AI.
• Prototype data-driven tools to improve model accuracy.

Skills

Data science

Machine learning

Python

SQL

Pandas

NumPy

Scikit-learn

PyTorch/TensorFlow

Probabilistic modeling

Statistical inference

Data cleaning

Job description

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Mercor provides AI research opportunities. Your pay will reflect your skills and experience. Talk with your recruiter to learn more.

Base pay range: $14.00/hr - $14.00/hr

About The Job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Data Scientist

Type: Hourly contractor

Compensation: $14/hour

Location: Remote

Commitment: 20–40 hours/week

Role Responsibilities

• Develop data collection and preprocessing pipelines for structured and unstructured data from multiple agent simulations.
• Build and iterate on machine learning models for performance prediction, behavior clustering, and outcome optimization.
• Design and maintain dashboards and visualization tools for monitoring agent performance, benchmarks, and trends.
• Conduct statistical analyses to evaluate the efficacy of AI systems under various environments and constraints.
• Collaborate with engineers to design evaluation frameworks that measure reasoning quality, adaptability, and efficiency.
• Prototype data‑driven tools and feedback loops to automatically improve model accuracy and agent behavior over time.

Qualifications

Must‑Have

• Strong background in data science, machine learning, or applied statistics.
• Proficient in Python, SQL, and familiar with libraries such as Pandas, NumPy, Scikit‑learn, and PyTorch/TensorFlow.
• Understanding of probabilistic modeling, statistical inference, and experimentation frameworks (A/B testing, causal inference).
• Experience with large‑scale data systems (Snowflake, BigQuery, or similar).
• Ability to collect, clean, and transform complex datasets into structured formats ready for modeling and analysis.

Preferred

• Interest in AI agents and how data can shape their reasoning, adaptability, and behavior.
• Enjoy collaborating with cross‑functional teams to define meaningful KPIs and experiment setups.

Compensation & Legal

• Hourly contractor to Mercor.
• Paid weekly via Stripe Connect, based on hours logged.
• Weekly bonus of $500 - $1000 USD per 5 tasks created.

Application Process (Takes 20–30 mins to complete)

• Upload resume
• AI interview based on your resume
• Submit form

Resources & Support

For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome

For any help or support, reach out to: [e-mail]

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Seniority level

Not Applicable

Employment type

Part‑time

Job function

Science

Industries

Software Development