Senior Data Scientist

Mercor; Brampton; Remote; CAD 100,000 - 125,000; Part time

Job summary

A leading AI research firm is seeking a Senior Data Scientist to support high-impact research collaborations. This freelance role requires 3+ years of experience and proficiency in Python and SQL. The position involves validating and refining AI outputs. Ideal for candidates looking for flexible hours, it offers competitive compensation based on skills and 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, responses, and code.
• Validate concepts for technical accuracy.
• Support benchmarking efforts to assess model capabilities.

Skills

Python

SQL

Machine Learning

Statistical Analysis

Data Wrangling

Feature Engineering

Education

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

Tools

scikit-learn

TensorFlow

PyTorch

Job description

Overview

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

Compensation

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 Dorsey.

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

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