RippleMatch
HR Tech • B2B • B2C
RippleMatch is an AI-driven job matching platform designed to connect candidates with top internships and entry-level job opportunities tailored to their skills and goals. By streamlining the job search process, RippleMatch helps candidates receive faster responses from employers, increasing their chances of landing interviews significantly compared to traditional job boards. The platform focuses on providing personalized matches and guidance to ensure candidates find roles that align with their interests and qualifications.
51 - 200 employees
Founded 2016
👥 HR Tech
🤝 B2B
👥 B2C
💰 $45M Series B on 2022-06
Data Scientist
Job not on LinkedIn
November 24
RippleMatch
HR Tech • B2B • B2C
RippleMatch is an AI-driven job matching platform designed to connect candidates with top internships and entry-level job opportunities tailored to their skills and goals. By streamlining the job search process, RippleMatch helps candidates receive faster responses from employers, increasing their chances of landing interviews significantly compared to traditional job boards. The platform focuses on providing personalized matches and guidance to ensure candidates find roles that align with their interests and qualifications.
51 - 200 employees
Founded 2016
👥 HR Tech
🤝 B2B
👥 B2C
💰 $45M Series B on 2022-06
📋 Description
• 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
🎯 Requirements
• 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 • 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
Apply NowSimilar Jobs
November 21
Application Development and Database Manager supporting CVS Health's Regulatory Review Team by designing and maintaining QuickBase applications. Enhancing departmental efficiency and collaborating across teams.
November 21
Data Scientist at Mediate.ly focusing on media performance analysis and predictive modeling using advanced machine learning techniques. Collaborating with teams to enhance insights and campaign effectiveness through data visualization.
November 21
Data Scientist designing and delivering backend services integrating AI technologies at Beyondsoft. Building scalable systems for insights and improved customer experiences.
🇺🇸 United States – Remote
💵 $120k - $165k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
📊 Data Scientist
🦅 H1B Visa Sponsor
November 20
Data Scientist at Socure focusing on fraud detection using machine learning models. Analyzing complex datasets to develop innovative data-driven solutions for identity verification.
🇺🇸 United States – Remote
💵 $130k - $150k / year
💰 $450M Series E on 2021-11
⏰ Full Time
🟡 Mid-level
🟠 Senior
📊 Data Scientist
🦅 H1B Visa Sponsor
November 20
NLP/NLU Data Scientist enhancing AI-driven platforms at Tiger Analytics. Analyzing customer interactions to improve chatbot and voice bot functionalities.