AI Resume Builder
JOIN NOW Post Job
Y
AI

Data Scientist

YO IT CONSULTING · US

Actively hiring Posted 6 months ago

Role overview

We're seeking a data-driven analyst to conduct comprehensive failure analysis on AI agent performance across finance-sector tasks. You'll identify patterns, root causes, and systemic issues in our evaluation framework by analyzing task performance across multiple dimensions (task types, file types, criteria, etc.).

Responsibilities

  • Statistical Failure Analysis: Identify patterns in AI agent failures across task components (prompts, rubrics, templates, file types, tags)
  • Root Cause Analysis: Determine whether failures stem from task design, rubric clarity, file complexity, or agent limitations
  • Dimension Analysis: Analyze performance variations across finance sub-domains, file types, and task categories
  • Reporting & Visualization: Create dashboards and reports highlighting failure clusters, edge cases, and improvement opportunities
  • Quality Framework: Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings
  • Stakeholder Communication: Present insights to data labeling experts and technical teams

Basic qualifications

  • Statistical Expertise: Strong foundation in statistical analysis, hypothesis testing, and pattern recognition
  • Programming: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis
  • Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets
  • AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics
  • Tools: Comfortable working with Excel, data visualization tools (Tableau/Looker), and SQL

Preferred qualifications

  • Experience with AI/ML model evaluation or quality assurance
  • Background in finance or willingness to learn finance domain concepts
  • Experience with multi-dimensional failure analysis
  • Familiarity with benchmark datasets and evaluation frameworks
  • 2-4 years of relevant experience
  • You will be engaged as an independent contractor.
  • This is a fully remote role that can be completed on your own schedule.
  • Projects can be extended, shortened, or concluded early depending on needs and performance.
  • Your work will not involve access to confidential or proprietary information from any employer, client, or institution.
  • Payments are weekly on Stripe or Wise based on services rendered.

Tags & focus areas

Used for matching and alerts on DevFound
Contract Remote Ai Data Science
Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.

Still have questions?

Contact Support