Computational Data Science Problem Creation Expert

Computational Data Science Problem Creation Expert (Contract, Remote) Type: Independent Contractor Location: Remote Schedule: Flexible, project-based hackajob partners with innovative companies to connect top-tier technical talent with high-impact, cutting-edge projects. For this role, we are working closely with a platform that collaborates with leading AI labs and technology companies to build high-quality datasets used to train and evaluate advanced AI systems. Together, we are onboarding senior data scientists to design fully deterministic, end-to-end data science problems that reflect how real-world data science is done. About the Role This is a problem creation and verification role, not execution or production work. You will design computational, real-world data science problems that simulate complete analytical workflows — from raw data to validated, reproducible outputs. Your work will directly contribute to training and evaluating AI models on professional data science reasoning. What You’ll Do You will: • Design realistic data science problems grounded in business scenarios • Cover the full data science lifecycle, including: • Data ingestion & cleaning • Exploratory analysis • Feature engineering • Statistical analysis & modeling • Validation and interpretation • Implement verified Python solutions • Ensure all problems are fully deterministic and reproducible • Clearly document: • Business context • Data inputs & schemas • Analytical logic • Exact expected outputs What We’re Looking For Required: • MSc or PhD in Data Science, Statistics, Mathematics, Computer Science, or a related field • 5+ years of professional data science experience • Ownership of end-to-end data science pipelines • Strong Python skills (pandas, numpy, scipy, scikit-learn, statsmodels) • Solid grounding in statistics and modeling • Ability to define explicit, verifiable outputs Nice to Have: • Cross-industry experience (finance, healthcare, telecom, government, e-commerce) • Teaching, mentoring, publications, or case studies • Consulting or research-oriented industry background This role is focused on rigor, correctness, and clarity.