Data Scientist

Job Description : AI Task Evaluation & Statistical Analysis Specialist

Role Overview

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

Key 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

Required 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

Key Skills

Laboratory Experience,Immunoassays,Machine Learning,Biochemistry,Assays,Research Experience,Spectroscopy,Research & Development,cGMP,Cell Culture,Molecular Biology,Data Analysis Skills

Employment Type : Full Time

Experience : years

Vacancy : 1