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Mercor · Remote job

Senior Data Scientist and Data Engineering Experts

STEP 1 · PRACTICE FIRSTTake a free AI practice interview for this kind of roleGet my practice interview ↓
STEP 2 · APPLYApply on Mercor when you’re readyApply on Mercor →

You apply directly on Mercor's site. Applying is free. Posted Oct 27, 2026.

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STEP 1 · PRACTICE BEFORE YOUR REAL INTERVIEW

Get your free practice interview for this role

Mercor screens applicants online, often with an AI interview. micro1 offers a free, 18-minute AI practice interview with feedback, and we picked the one closest to this role: Data Scientist. It covers:

Statistical analysisMachine learningData visualization

Here’s your practice interview

Allow your microphone when it asks, find a quiet spot, and give yourself about 20 minutes. We’ve also emailed you the link and the free ebook.

Step 2: when you feel ready, apply.

Apply on Mercor →

The practice interview is free and run by micro1. Land Remote Jobs is an independent job board, not part of micro1, Mercor or Turing. Practising helps you prepare; it can’t guarantee the result of your real interview. Want more tips? Read our guide to acing the remote job interview.

STEP 2 · APPLY

Apply for this role

You apply on Mercor's own site. It’s free, and you can apply even if you skip the practice.

Apply on Mercor →

Who this role suits

Analysts and data scientists who want flexible remote work in statistics, modelling and evaluation.

Full job description

Role Overview Mercor is working with a leading AI research lab on a project to improve how AI systems do real-world data science and data engineering work. We’re looking for senior data scientists and data engineers who have deep experience at top technology, quantitative or financial firms. You’ll use that expertise to train and evaluate frontier AI models. This role is open to candidates based in the United States, United Kingdom, Canada, Australia or New Zealand. Key Responsibilities

  • Designing realistic, challenging data science and data engineering tasks, including but not limited to exploratory analyses, statistical modeling, machine learning pipelines, ETL and data pipeline design, SQL and Python workflows, and experimentation or A/B test write-ups

  • Illustrating "what good looks like" by writing precise, task-specific criteria for data science and data engineering deliverables

  • Applying consistent, evidence-based judgment so that assessments are reproducible and defensible

  • Taking structured feedback from senior reviewers and iterating on submitted work

Ideal Profile

  • 4+ years of professional data science, data engineering or machine learning experience in one of these settings:

    • A leading technology or quantitative firm (such as FAANG+, Magnificent 7+, top-tier quant funds or equivalent) with a Mid-senior level title. Applied Scientist, Research Scientist and Machine Learning Engineer/Scientist roles also qualify.

    • A top financial institution (a leading bank, hedge fund or trading firm)

    • A top-tier consulting firm, working as a data scientist

    • A Fortune 100 company, with a senior or manager-level title

    • Experience may be split across more than one qualifying employer

  • Strong command of Python, SQL, statistical modeling, machine learning, experimentation and causal inference

  • Proven ability to turn messy real-world data into rigorous analyses and reliable pipelines

  • Excellent written English, including the ability to explain technical findings clearly

  • Bachelor's degree from an English-speaking country

  • A detail-oriented, consistent approach to evaluating complex work

  • Comfortable receiving feedback and calibrating judgment against set standards

Last checked open on Oct 28, 2026. Job description provided by Mercor.

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