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.