Synthires
Data Scientist (Remote | $245–$280/hr)
Get notified of more jobs like this · No spam, ever
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Data Scientist
Type: Contractor
Compensation: $245–$280/hour
Location: Remote
About the Opportunity
micro1 is partnering with a leading AI lab to engage experienced Data Scientists and quantitative professionals from top companies. In this role, you will apply your expertise in statistics, machine learning, experimentation, data analysis, and quantitative reasoning to evaluate and improve the capabilities of advanced AI systems.
You will work on expert-level data science problems, assess AI-generated solutions, identify methodological and statistical weaknesses, and provide structured feedback that helps models reason more accurately and effectively.
Responsibilities
- Evaluate AI-generated outputs across data science, statistics, machine learning, and quantitative reasoning problems.
- Create expert-level prompts and datasets designed to assess advanced quantitative capabilities.
- Develop accurate reference solutions for complex data science and statistical problems.
- Identify flawed methodologies, statistical errors, and weaknesses in quantitative reasoning.
- Assess the validity and quality of AI-generated analytical approaches.
- Review model outputs for technical accuracy, logical consistency, and sound statistical reasoning.
- Provide structured, actionable feedback to improve AI model performance.
- Apply strong quantitative judgment when evaluating experimental designs, analytical methods, and data-driven conclusions.
- Communicate technical findings and statistical concepts clearly and precisely.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Required Qualifications
- At least 1 year of professional experience at a top company in technology, finance, research, or a comparable environment.
- At least part of the qualifying professional experience must have been within the past 7 years.
- Strong expertise in data science, statistics, machine learning, or quantitative analysis.
- Undergraduate degree from a top-ranked university.
- Strong analytical and quantitative reasoning abilities.
- Ability to evaluate complex statistical and machine-learning methodologies.
- Clear written communication of technical and statistical concepts.
- Ability to identify subtle errors in quantitative reasoning and analytical approaches.
- Professional proficiency in English.
Preferred Qualifications
- Professional experience combining Python, machine learning, statistics, and data analysis.
- Experience with Pandas and other data science tools.
- Experience with experimentation and experimental design.
- Strong understanding of data modeling and quantitative methods.
- Experience developing analytical datasets or benchmark problems.
- Background in quantitative roles within technology, finance, or research organizations.
- Experience evaluating technical or AI-generated outputs.
- Strong ability to explain complex quantitative concepts clearly and concisely.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Compensation
- $245–$280 per hour
- Contractor engagement
- Fully remote
- Expert-level work supporting AI evaluation and quantitative reasoning
Eligibility
- Candidates should have at least 1 year of experience working at a top company in technology, finance, research, or a related field.
- At least part of this experience should have been obtained within the past 7 years.
- Undergraduate degree from a top-ranked university.
- Candidates should be based in an English-speaking country.
- Strong written English and technical communication skills are required.
Application Process
- Submit your application highlighting your Data Science and quantitative experience.
- Detail your professional experience at relevant technology, finance, or research organizations.
- Highlight your expertise in statistics, machine learning, experimentation, and quantitative analysis.
- Provide information about your academic background and relevant technical skills.
- Selected candidates will be considered based on their quantitative expertise, professional background, and project fit.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Location