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Mercor

Senior Data Scientist, Data Engineering Expert

Mercor

. Design realistic, challenging data science and data engineering tasks .

Posted 11/1/2026contractRemote • United States, United Kingdom, Canada, Australia, New ZealandSenior💰 $120 - $180 per hourWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data science and data engineering, with a strong command of Python and SQL for statistical modeling and machine learning. Capable of designing data pipelines and conducting rigorous analyses while effectively communicating technical findings.

Highest-signal resume keywords
Data Science ExperienceData Engineering ExperienceMachine Learning ExpertiseStatistical Modeling ProficiencyPython Programming

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
PythonSQLStatistical ModelingMachine LearningData Pipeline DesignETLCausal InferenceExploratory AnalysisA/B TestingData Analysis
Soft Skills
Detail-OrientedExcellent Written CommunicationFeedback ReceptionIterative ImprovementJudgment Calibration
Industry Keywords
Data ScienceData EngineeringQuantitative FirmFinancial InstitutionConsulting FirmFortune 100 Company

Tech Stack

Tools & technologies
ETLPythonSQL

About the role

Key responsibilities & impact
  • 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
  • Collaborate with leading researchers on projects that train and enhance AI systems

Requirements

What you’ll need
  • 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 roles
  • Experience may be split across more than one qualifying employer
  • 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, including ability to explain technical findings clearly
  • Bachelor's degree from an English-speaking country
  • Detail-oriented and 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

Comp & perks
  • Fully remote role
  • Flexible schedule / complete 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
  • Reasonable accommodations upon request