Data Science Specialist - Fully Remote

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

Job summary

A leading AI research consultancy is looking for a Data Science Professional to support high-impact research collaborations. This remote freelance role requires 3+ years in data science, proficiency in Python and SQL, and experience deploying machine learning models. The ideal candidate will work 15–25 hours per week, with a competitive hourly rate of $80–$120 based on experience.

Qualifications

• 3+ years of experience in data science, machine learning, or applied statistics.
• Strong proficiency in Python and SQL.
• Hands-on experience building and deploying machine learning models.

Responsibilities

• Review and refine AI-generated prompts and responses.
• Validate concepts for technical accuracy.
• Provide structured feedback on solution quality.

Skills

Python

SQL

Data Science

Machine Learning

Statistical Analysis

Education

Degree in Data Science, Statistics, Computer Science, Applied Mathematics, or related field

Tools

scikit-learn

TensorFlow

PyTorch

Job description

This range is provided by Mercor. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$80.00/hr - $120.00/hr

Company Introduction

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 Dorsay.

Role Overview

• Position: Data Science Professional – Freelance, Remote
• Commitment: 15–25 hours/week, flexible up to 40 hours/week
• Duration: 1–2 months
• Support high-impact research collaborations with leading AI labs. Improve AI systems through code validation, prompt refinement, algorithmic evaluation, and model benchmarking.

Responsibilities

• Review and refine AI-generated prompts, responses, and code
• Validate concepts for technical accuracy
• Provide structured feedback on solution quality and clarity
• Tag and organize content by topic and difficulty
• Support benchmarking efforts to assess model capabilities

Requirements / Qualifications

Must-Have Qualifications

• 3+ years of experience in data science, machine learning, or applied statistics
• Degree in Data Science, Statistics, Computer Science, Applied Mathematics, or related field
• Strong proficiency in Python and SQL
• Hands-on experience building and deploying machine learning models using frameworks like scikit-learn, TensorFlow, or PyTorch
• Experience with statistical analysis, data wrangling, and feature engineering on large datasets

Preferred Qualifications

• Advanced degree in a related quantitative field
• Familiarity with R, Java, or Scala

Engagement Details

• Start Date: Immediate
• Compensation: $80–$120 USD/hr, competitive hourly rate based on experience
• Contract: Independent contractor
• Payment: Daily via Stripe Connect
• Schedule: Fully remote and asynchronous

Application Process

• Upload resume
• AI interview: A short, 15-minute conversational session to understand your background, experience, and interest in the role
• Follow-up communication within a few days with next steps and onboarding details

Apply through Mercor to shape frontier AI research.

Seniority level

• Mid-Senior level

Employment type

• Contract

Job function

• Engineering, Research, and Information Technology

Industries

• Software Development

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