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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 machine learning, with practical programming skills to implement and verify solutions. Proficient in developing tests and evaluation criteria to ensure solution correctness and reliability.
Highest-signal resume keywords
Data Science ExperienceMachine Learning ExpertiseProblem-Solving AbilityProgramming SkillsCompetition Platform Familiarity
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Quantitative ModelingTest DevelopmentEvaluation Criteria ImplementationData PreparationEnvironment Building
Soft Skills
Analytical ThinkingAttention to Detail
Tools & Technologies
KaggleDrivenDataZindiAIcrowdNumeraiDataSource.aiCodaLabCodabench
Industry Keywords
Research CompetitionsSolution VerificationImplementation ErrorsData LeakageCorrectness Issues
About the role
Key responsibilities & impact- Build reproducible environments
- Prepare relevant data and dependencies
- Implement reference solutions
- Develop tests and evaluation criteria that distinguish correct solutions from incomplete or flawed approaches
- Run coding agents against tasks and investigate failures
- Refine tasks based on observed behavior
- Identify implementation errors, flawed assumptions, data leakage, and other correctness issues
- Document task requirements, solution reasoning, and verification steps
Requirements
What you’ll need- Demonstrated experience in data science, ML, quantitative modeling, or relevant research competitions
- Experience with relevant competition platforms including Kaggle, DrivenData, Zindi, AIcrowd, Numerai, DataSource.ai, and CodaLab/Codabench
- Strong problem-solving ability and a clear understanding of the methods used
- Practical programming ability sufficient to implement and verify own solutions
Benefits
Comp & perks- 12-month contract
- 15 hours/week