Senior Data Scientist, Data Engineering

Job not on LinkedIn

🔥 2 minutes ago

🌐 United States, United Kingdom, +3 more countries – Remote

🇺🇸 United States – Remote 🇬🇧 United Kingdom – Remote 🇨🇦 Canada – Remote 🇦🇺 Australia – Remote 🇳🇿 New Zealand – Remote

💵 $120 - $180 / hour

⏳ Contract/Temporary

🟠 Senior

🚰 Data Engineer

👻 Ghost score 11%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Mercor

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2023

💰 $350M Series C - Mercor on 2025-10

Mercor is a company for which no descriptive text was provided in the input. Additional information (products, services, target customers, or industry specifics) is needed to create an accurate summary and select appropriate industries.

📋 Description

• Design realistic, challenging data science and data engineering tasks • Create exploratory analyses, statistical models, machine learning pipelines, ETL and data pipeline designs, SQL and Python workflows, and experimentation or A/B test write-ups • Write precise, task-specific criteria for data science and data engineering deliverables • Apply consistent, evidence-based judgment to make assessments reproducible and defensible • Receive structured feedback from senior reviewers and iterate on submitted work • Train and evaluate frontier AI models • Work independently on projects according to personal schedule

🎯 Requirements

• 4+ years of professional data science, data engineering, or machine learning experience • Experience at a leading technology or quantitative firm, top financial institution, top-tier consulting firm, or Fortune 100 company in qualifying senior roles • Strong command of Python, SQL, statistical modeling, machine learning, experimentation, and causal inference • Ability to turn messy real-world data into rigorous analyses and reliable pipelines • Excellent written English and ability to explain technical findings clearly • Bachelor's degree from an English-speaking country • Detail-oriented, consistent approach to evaluating complex work • Comfortable receiving feedback and calibrating judgment against set standards • Must not require H1-B or STEM OPT support

🏖️ Benefits

• Fully remote role • Work on your own schedule • Projects may be extended, shortened, or concluded early depending on needs and performance • Weekly payments via Stripe or Wise based on services rendered • Competitive pay • Collaboration with leading researchers • Opportunity to help shape the next generation of AI systems • Reasonable accommodations upon request • Referral payments of up to $720 for each successful referral, subject to referral limits

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