Data Scientist/Engineer – Online Metrics

Job not on LinkedIn

🕒 February 13

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Perplexity

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2022

🤖 Artificial Intelligence

☁️ SaaS

Artificial Intelligence • SaaS

Perplexity is an AI-powered conversational search and assistant platform that lets users ask natural-language questions and explore curated topic "Spaces" such as Finance, Health, and Sports. It provides tools for comparing, troubleshooting, and analyzing information, maintains search history, and offers Pro subscription features alongside multiple sign-in options (Google, Apple, email, SSO). The product is delivered as a web-based service focused on surfacing concise, sourced answers and research assistance.

📋 Description

• Discover and validate online signals from user interactions that serve as reliable proxies for true answer quality • Design and implement novel online metrics to be tracked both in A/B testing and on product health dashboards, ensuring alignment with ground-truth evaluations • Analyze experimental results to validate these metrics, ensuring they accurately predict user satisfaction and drive product decisions • Build and maintain the data pipelines that calculate these metrics at scale, delivering actionable quality signals to Search, Product, and model training teams • Communicate findings and bring clarity through close collaboration with Product and Search teams • Operate in a small, high-impact team where your work directly shapes how Perplexity measures and improves Answer Quality

🎯 Requirements

• MS in a technical field or equivalent experience • 4+ years of experience working as a Data Scientist, Analytics Engineer, or related role • Experience working on search, recommendation, or LLM-based products, with an emphasis on designing online metrics and analyzing A/B experiments • Strong proficiency in Python and SQL (expected to write production-grade code) • Deep knowledge of statistical analysis • Experience with Business Intelligence (BI) tools for visualization and reporting • Comfortable with agentic coding workflows and using AI-assisted development tools to iterate faster

🏖️ Benefits

• Health insurance • Professional development opportunities