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Core Competencies
Role fitCore 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
Python ProgrammingSQL ProficiencyStatistical ModelingMachine Learning ExpertiseData Pipeline Design
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ScienceData EngineeringMachine LearningStatistical AnalysisETL ProcessesA/B TestingCausal InferenceExploratory AnalysisWorkflow DevelopmentData Pipeline Design
Soft Skills
Detail-OrientedEffective CommunicationFeedback ReceptionIterative ImprovementJudgment Calibration
Industry Keywords
Quantitative FirmFinancial InstitutionConsulting FirmFortune 100 CompanyEnglish-Speaking Country
Tech Stack
Tools & technologiesETLPythonSQL
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 professional 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 be based in the United States, United Kingdom, Canada, Australia, or New Zealand
- H1-B and STEM OPT candidates cannot be supported
Benefits
Comp & perks- Fully remote role
- Flexible schedule / complete work on your own schedule
- Weekly payments via Stripe or Wise
- Competitive pay
- Opportunity to collaborate with leading researchers
- Opportunity to help shape the next generation of AI systems
- Referral payments of up to $720 per successful referral (referral limits apply)
- Reasonable accommodations upon request
