Competitive Data Scientist Remote Job at Micro1 | $60–$120/Hour Remote Openings 50
Competitive Data Scientist Remote Job at Micro1 | $60–$120/Hour
SEO Title: Competitive Data Scientist Remote Job at Micro1 – $60–$120 per Hour
🌎 Job Overview
Micro1 is seeking experienced data scientists, machine learning practitioners, and applied mathematics professionals with experience in competitive data science.
This fully remote contractor opportunity involves designing challenging technical tasks that test AI coding agents and help evaluate their ability to solve real data science and machine learning problems.
Candidates will use their programming skills, mathematical reasoning, and competition experience to create tasks with reproducible environments, verified reference solutions, and reliable evaluation criteria.
Experience with platforms such as Kaggle, DrivenData, Zindi, and AIcrowd may be relevant to this role.
💡 Important: This is a technical position requiring practical programming and data science expertise. It is not an entry-level data entry or general remote customer service job.
📋 Job Details
- 🏢 Company: Micro1
- 💼 Position: Competitive Data Scientist
- 🌍 Location: Global — fully remote
- 📄 Job Type: Contractor
- 👥 Openings: 50
- 💰 Advertised Compensation: $60–$120 per hour
- ⏰ Time Commitment: Approximately 15 hours per week
- 🗓️ Schedule: Flexible; choose your working days and hours, including weekends if desired
📝 Key Responsibilities
Successful candidates may be responsible for the following tasks:
1. Build reproducible environments: Prepare datasets, software dependencies, and execution environments so tasks can be run consistently.
2. Develop reference solutions: Implement correct solutions that can be used to verify task results.
3. Create evaluation criteria: Design tests that distinguish correct solutions from incomplete or incorrect approaches.
4. Evaluate AI coding agents: Run coding agents against assigned tasks and investigate their failures.
5. Identify technical problems: Detect coding errors, flawed assumptions, data leakage, and other issues that affect solution correctness.
6. Improve task quality: Refine tasks based on observed AI performance and testing results.
7. Document solutions: Clearly explain task requirements, reasoning, implementation details, and verification steps.
🎯 Required Skills
Applicants should have relevant knowledge and practical experience in the following areas:
- 📊 Data science and statistical analysis
- 🤖 Machine learning engineering
- ➗ Mathematics and quantitative reasoning
- 💻 Programming and coding
- 🧠 Complex problem-solving
- 🔍 Testing and verification of technical solutions
- 📈 Data analysis and model evaluation
- 📝 Clear technical documentation
✅ Required Qualifications
Candidates should meet the following expectations:
- Demonstrated experience in data science, machine learning, quantitative modeling, or relevant research competitions.
- Experience with competitive data science platforms such as Kaggle or DrivenData is relevant.
- Strong problem-solving skills and a clear understanding of the methods used.
- Practical programming ability sufficient to implement and verify personal solutions.
- Ability to create reliable technical tasks and evaluate whether solutions are correct.
- Ability to work independently in a remote contractor environment.
🌐 Relevant Competition Platforms
Experience with any of the following platforms may be useful for this opportunity:
- Kaggle
- DrivenData
- Zindi
- AIcrowd
- Numerai
- DataSource.ai
- CodaLab / Codabench
Experience with these platforms can help demonstrate practical competition-based data science skills, although the listing does not state that experience with every platform is required.
🌟 Preferred Qualifications
The following skills are especially valuable for this role:
- Strong Python programming experience.
- Writing and running tests.
- Debugging unfamiliar code.
- Building reproducible technical environments.
- Verifying reference implementations.
- Identifying data leakage and methodological errors.
- Experience evaluating machine learning models or AI coding systems.
Python expertise is highlighted as a significant advantage in the listing.
💰 Compensation Details
The advertised compensation range is $60–$120 per hour.
Please consider the following before applying:
- The advertised range does not guarantee a specific hourly rate for every candidate.
- Actual compensation and payment terms must be confirmed directly with Micro1.
- The role is a contractor opportunity with an expected commitment of approximately 15 hours per week.
- The schedule is flexible, but candidates should confirm project requirements and contract terms before accepting an offer.
👥 Who Should Apply?
This opportunity may suit:
- Data scientists with competition experience.
- Machine learning engineers with practical coding skills.
- Applied mathematics and quantitative modeling professionals.
- Kaggle or DrivenData participants with demonstrable technical ability.
- Python developers experienced in testing, debugging, and data analysis.
- Researchers who can build and verify reproducible technical solutions.
Candidates should be comfortable solving complex technical problems and explaining why their solutions are correct.
🌍 Eligibility: The listing describes this role as global and fully remote. Applicants should still confirm country eligibility, payment availability, and contract requirements directly with Micro1.
🚀 How to Apply
1. Visit the official Micro1 website.
2. Explore available data science and AI-related opportunities.
3. Search for Competitive Data Scientist.
4. Review the technical requirements, compensation details, and project expectations.
5. Follow the application instructions provided by Micro1.
Apply Now