Data Scientist | $120/hr Remote

Crossing Hurdles; Canada; Remote; CAD 137,760 - 165,312; Part time

Job summary

A tech-forward company is seeking a Data Scientist to conduct statistical analyses in the finance sector. The successful candidate will analyze AI performance, provide insights, and create dashboards. The role is remote with flexible hours, suited for someone with strong statistical and programming skills, particularly in Python or R. This contract position requires a mid-senior level of expertise.

Qualifications

• Strong foundation in statistical analysis, hypothesis testing, and pattern recognition.
• Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis.
• Experience with exploratory data analysis and deriving actionable insights from complex datasets.
• Familiarity with LLM evaluation methods and quality metrics.
• Comfortable working with Excel, data visualization tools (Tableau/Looker), and SQL.

Responsibilities

• Conduct statistical failure analysis across finance-sector AI tasks.
• Identify patterns in AI agent performance failures across task components.
• Perform root cause analysis to determine if failures stem from task design.
• Analyze performance variations across finance sub-domains, file types, and task categories.
• Create dashboards and reports highlighting failure clusters.
• Recommend improvements to task design and evaluation criteria.
• Communicate insights to data labeling experts and technical teams.

Skills

Statistical analysis

Hypothesis testing

Pattern recognition

Python (pandas, scipy, matplotlib/seaborn)

Exploratory data analysis

SQL

Data visualization tools (Tableau/Looker)

Job description

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Base pay range

$100.00/hr - $120.00/hr

Position Details

Position: Data Scientist

Referral Partner: Crossing Hurdles

Type: Hourly contract

Compensation: $100-$120 per hour

Location: Remote

Duration: 3–4 weeks

Commitment: 10‑40 hours/week, flexible and asynchronous

At Crossing Hurdles, we work as a referral partner. We refer candidates to our partner that collaborates with world’s leading AI research labs to build and train cutting‑edge AI models.

Role Responsibilities (Training support will be provided)

• Conduct statistical failure analysis across finance‑sector AI tasks.
• Identify patterns in AI agent performance failures across task components (e.g., prompts, rubrics, templates).
• Perform root cause analysis to determine if failures stem from task design, rubric clarity, or agent limitations.
• Analyze performance variations across finance sub‑domains, file types, and task categories.
• Create dashboards and reports highlighting failure clusters, edge cases, and areas for improvement.
• Recommend improvements to task design, rubric structure, and evaluation criteria.
• Communicate insights to data labeling experts and technical teams.

Requirements

• Strong foundation in statistical analysis, hypothesis testing, and pattern recognition.
• Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis.
• Experience with exploratory data analysis and deriving actionable insights from complex datasets.
• Familiarity with LLM evaluation methods and quality metrics.
• Comfortable working with Excel, data visualization tools (Tableau/Looker), and SQL.

Application Process (Takes 20 min)

• Upload resume.
• AI interview based on your resume (15 min).

Seniority level

Mid‑Senior level

Employment type

Contract

Job function

Research and Information Technology

Industries

IT System Data Services

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