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Mercor

Senior Data Scientist, Data Engineering Expert

Mercor

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

Posted 10/30/2026contractRemote • United States, United Kingdom, Canada, Australia, New ZealandSenior💰 $120 - $180 per hourWebsite

Core Competencies

Role fit
Core Competencies

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

Highest-signal resume keywords
Python ProgrammingSQL ProficiencyStatistical ModelingMachine LearningData Pipeline Design

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
Data ScienceData EngineeringMachine Learning ExperienceStatistical AnalysisExploratory AnalysisETL ProcessesCausal InferenceExperimentationA/B TestingWorkflow Development
Soft Skills
Detail-OrientedExcellent Written CommunicationFeedback ReceptionJudgment Calibration
Certifications & Qualifications
Bachelor's Degree
Industry Keywords
Quantitative 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 so assessments are reproducible and defensible
  • Receive structured feedback from senior reviewers and iterate on submitted work
  • Train and evaluate frontier AI models using data science and data engineering expertise

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
  • Mid-senior level, senior, or manager-level title where specified
  • 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 and consistent approach to evaluating complex work
  • Comfortable receiving feedback and calibrating judgment against set standards
  • Must be based in the United States, United Kingdom, Canada, Australia, or New Zealand
  • Independent contractor arrangement
  • H1-B and STEM OPT candidates are not supported

Benefits

Comp & perks
  • Fully remote role
  • Work on your own schedule
  • Weekly payments via Stripe or Wise
  • Competitive pay
  • Collaboration with leading researchers
  • Opportunity to help shape the next generation of AI systems
  • Reasonable accommodations upon request