We are sharing a specialised part-time consulting opportunity for highly credentialed data scientists with strong academic backgrounds and significant in-industry experience across quantitative, scientific, and computational fields.
This role supports work requiring advanced data science expertise, applied analytical reasoning, and strong familiarity with real-world machine learning and cloud-based data workflows.
Selected professionals will help contribute high-level technical expertise drawn from rigorous academic training and industry experience in data-intensive, research-driven, and computationally complex environments.
Key Responsibilities
Professionals in this role may contribute to:
Advanced Data Science & Analytical Work
Apply strong data science expertise across quantitative, scientific, or computational problem domains
Contribute technical judgment informed by advanced academic training and real-world industry experience
Support high-quality analytical work in research-driven or production-oriented environments
Machine Learning & Data Workflow Support
Work with cloud-based data and machine learning tools to support technical workflows
Apply experience with modern data environments used for large-scale analysis, modelling, or experimentation
Contribute to structured, high-level work requiring both analytical depth and practical execution skills
Cross-Domain Technical Contribution
Bring domain expertise from fields such as quant trading, bioinformatics, astrophysics, applied computational mathematics, or related areas
Support technically demanding projects requiring strong reasoning, modelling, and data interpretation capabilities
Help maintain high standards of quality, rigour, and precision across project work
Ideal Profile
Strong candidates may have:
PhD or MS in a related quantitative, scientific, or computational field
Significant in-industry work experience in data science or adjacent technical functions
Background in fields such as quant trading, bioinformatics, astrophysics, applied computational mathematics, or similar domains
Strong analytical, quantitative, and problem-solving skills
Ability to apply rigorous technical reasoning in complex real-world environments
Strong attention to detail and comfort working in advanced technical settings
Preferred qualifications
Experience with cloud-based data and machine learning tools such as Google Colab, BigQuery, Databricks, Snowflake, or AWS and Azure analytics tools
Experience working across large-scale data pipelines, modelling workflows, or research-oriented ML environments
Ability to contribute in technically demanding and interdisciplinary problem spaces
Strong communication skills for explaining complex technical reasoning clearly
Why This Opportunity
Apply advanced data science expertise to high-impact technical work
Contribute in rigorous, research-driven, and computationally sophisticated environments
Work remotely with flexible scheduling and competitive compensation
Bring deep quantitative and scientific experience to cutting-edge projects
Contract Details
Independent contractor role
Fully remote with flexible scheduling
Compensation range of $100–$160 per hour
Weekly payments via Stripe or Wise
Projects may be extended, shortened, or concluded early depending on project needs and performance
Work will not involve access to confidential or proprietary information from any employer, client, or institution
Please note: We are unable to support H1-B or STEM OPT candidates at this time
About the Platform
This opportunity is available through a leading AI-driven work platform that connects domain experts with frontier AI research projects.
Experts contribute to improving advanced AI systems by providing specialised expertise across technical reasoning, quantitative analysis, research-driven workflows, and domain-specific problem solving.
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