Data Scientist
Listing checked September 2, 2026 · pay as published by micro1
Overview
As a Data Scientist with micro1, you'll play a hands-on role in refining the next generation of AI systems. Your core responsibility is to apply your analytical expertise — from statistics and data modeling to visualization — to help models learn and reason more effectively. No prior AI experience is required; your domain knowledge and data craft are what truly matter.
What You'll Do6
- 1Gather, scrub, and prepare diverse datasets to maintain quality and readiness for modeling.
- 2Build, validate, and deploy statistical and predictive models to extract meaningful insights.
- 3Perform deep exploratory analysis to uncover trends, anomalies, and opportunities for business impact.
- 4Translate complex findings into clear visualizations and reports for both technical and non-technical stakeholders.
- 5Work hand-in-hand with team members on end-to-end data projects, from brainstorming to final delivery.
- 6Continuously refine analysis techniques and automate repetitive workflows to boost efficiency.
Requirements7
- 1Solid foundation in statistics, mathematics, and applied data analysis techniques.
- 2Proven track record of handling, cleaning, and wrangling large, messy datasets.
- 3Strong programming skills in Python, R, or similar languages for data manipulation and modeling.
- 4Hands-on experience building and validating predictive models.
- 5Proficiency in data visualization tools like Tableau, Power BI, or Matplotlib.
- 6Meticulous attention to detail and commitment to data integrity at every step.
- 7Excellent written and verbal communication, with ability to present data-driven stories clearly.
Who Should Apply
This role is ideal for data professionals who thrive on solving complex analytical challenges and want to see their work directly improve AI capabilities. You might be a statistician, data analyst, or machine learning engineer who values the impact of clean, well-structured data. If you have deep domain expertise and enjoy collaborating across teams, you'll fit right in.
Salary Insight
Compensation is on an hourly contract basis, ranging from $50 to $95 per hour, depending on experience and fit.
Pay and demand for Data Engineering roles
AggregatedTypical pay
$70/hour
This role
$50–$95/hr
Most Data Engineering roles pay $42–$96 per hour. This role's pay falls inside that range.
Based on 1,092 similar roles that publish pay · 302 publish only a top rate; those count at the rate they gave
Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.
- Live similar roles
- 1,243
- Listed in last 30 days
- 671
- Remote
- 98%
Hiring most right now: micro1 (370) · SME Careers (254) · Mercor (162)
Most requested skills · share of roles
- ai evaluation13%
- ai training12%
- llm evaluation11%
- data annotation9%
Figures from Data Engineering roles live on NearSkill when this page loaded. A role can close before you apply, so check the listing itself.
Compare your resume against these rolesLocation
Compensation
$50–95/hr
Required Skills
Application Tip
When applying, emphasize your hands-on experience with real-world data pipelines and any specific domain expertise (e.g., healthcare, finance, logistics). The team values practical problem-solving over formal AI credentials, so concrete examples of how you've wrangled messy data or built models from scratch will stand out.
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