Senior Data Scientist, Data Engineering

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

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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 in written English.

Highest-signal resume keywords

Python ProgrammingSQL ProficiencyStatistical ModelingMachine LearningData Engineering

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceData EngineeringMachine Learning PipelinesExploratory AnalysisETL DesignCausal InferenceExperimentationA/B TestingData Pipeline DesignStatistical Analysis

Soft Skills

Detail-OrientedFeedback ReceptionClear Communication

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 in qualifying 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, including the 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 be an H1-B or STEM OPT candidate
Must be based in the United States, United Kingdom, Canada, Australia, or New Zealand

Benefits

Comp & perks

Fully remote role that can be completed on your own schedule
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
Referral payments of up to $720 for each successful referral, subject to limits
Reasonable accommodations upon request