Member of Technical Staff (Data Scientist/Engineer, Online Metrics)
Skills & Technologies
Requirements
- Experience
- 4+ years
- Education
- Master's degree
Joblaze summary
In this role, the Data Scientist/Engineer will focus on extracting and validating online signals from user interactions to enhance the quality of answers provided by Perplexity's search engine. Key skills include proficiency in Python and SQL, along with a strong background in statistical analysis and experience with A/B testing in search or recommendation systems. This position is ideal for someone with over four years of relevant experience who thrives in a small, impactful team environment, directly influencing product quality and user satisfaction.
Joblaze insights
- Listed about a month ago on Joblaze — tracked directly from Perplexity's career page.
- Perplexity has 59 other open roles including Customer Success & Enterprise Support Lead, APAC , Sales Systems Engineer, Enterprise Operations, Scaled Enterprise Customer Success Manager.
- 2358 active Python roles on Joblaze right now.
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Quick facts
- How much experience is required?
- At least 4 years of relevant experience for this Member of Technical Staff (Data Scientist/Engineer, Online Metrics) role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Databricks, Apache Spark, SQL, Python.
- What seniority level is this role?
- Perplexity targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Member of Technical Staff (Data Scientist/Engineer, Online Metrics) role at Perplexity.
From the original posting
Perplexity serves tens of millions of users daily with reliable, high-quality answers grounded in an LLM-first search engine and specialized data sources. The Answer Quality team ensures that our prompts, tools, search, and specialized datasets, combined with both frontier and in-house models, create the best possible experience for our users. As a Data Scientist/Engineer on this team, you will derive online signals from user interactions to bridge the gap between changes in answer quality and observed user behavior.
Responsibilities
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
Qualifications
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
Preferred Qualifications
Proficiency with Apache Spark and Databricks
Experience with the development or validation of LLM-as-a-judge systems
Prior work supporting customer-facing products at scale