Computational Data Science Problem Creation Expert

hackajob; Remote; GBP 60,000 - 80,000; Part time

Job summary

A leading technology recruitment firm is seeking a Computational Data Science Problem Creation Expert for a remote contract role. The ideal candidate will have a MSc or PhD and over 5 years of data science experience, capable of designing end-to-end data science workflows. You will create reproducible analytical problems to aid in training AI systems. Responsibilities include data ingestion, exploratory analysis, and documentation of analytical logic. Strong Python skills are essential. Flexible schedule offered.

Qualifications

• 5+ years of professional data science experience.
• Strong ownership of end-to-end data science pipelines.
• Ability to define explicit, verifiable outputs.

Responsibilities

• Design realistic data science problems grounded in business scenarios.
• Implement verified Python solutions.
• Ensure all problems are fully deterministic and reproducible.

Skills

Python (pandas, numpy, scipy, scikit-learn, statsmodels)

Statistical analysis

Data cleaning

Feature engineering

Analytical reasoning

Education

MSc or PhD in Data Science, Statistics, Mathematics, Computer Science

Job description

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.