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.