Listing unavailableData & AnalyticsOn-site

Member of Technical Staff (Product Data Scientist, Search Quality)

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Last seen by MeritLog September 12, 2026Source: AshbySource version: ashby-public-job-posting-v1

Source: the employer's Ashby job board. Open the original listing for current details. Availability is not verified for this retained page.

Job details

Work model: On-site
Salary: Not listed by source
Location: Belgrade

What the role asks for

What you'd do

Develop data-driven insights from user behavior to inform our product roadmap and accelerate adoption
Formulate hypotheses and validate them by designing, running, and analyzing A/B tests
Determine appropriate metrics and visualizations for tracking, and implement them in dashboards
Design new pipelines that will help to deliver better ranking quality. From discovering new signals, producing metrics and construct data labeling pipelines with human and LLM feedback

What they're asking for

4+ years of experience working as a data analyst or in a related roleExperience
Experience working on search-related products, with emphasis on designing online metrics and analyzing A/B experimentsSkill
Strong Python skills (expected to write production-grade code)Skill
Proficiency with SQLSkill
Experience with Business Intelligence (BI) toolsSkill
Deep knowledge of statisticsSkill
Proficiency with Apache SparkSkillPreferred
Experience with DatabricksSkillPreferred
Experience with development of LLM-as-a-judge systemsSkillPreferred

Parsed by MeritLog from the employer’s own posting. The full description follows below.

Job description

Perplexity is looking for an experienced Product Data Scientist to accelerate the development of advanced search technologies. You will identify robust and sensitive signals from user behavior to help us gather insights from A/B experiment data more efficiently. Responsibilities - Develop data-driven insights from user behavior to inform our product roadmap and accelerate adoption - Formulate hypotheses and validate them by designing, running, and analyzing A/B tests - Determine appropriate metrics and visualizations for tracking, and implement them in dashboards - Design new pipelines that will help to deliver better ranking quality. From discovering new signals, producing metrics and construct data labeling pipelines with human and LLM feedback Qualifications - 4+ years of experience working as a data analyst or in a related role - Experience working on search-related products, with emphasis on designing online metrics and analyzing A/B experiments - Strong Python skills (expected to write production-grade code) - Proficiency with SQL - Experience with Business Intelligence (BI) tools - Deep knowledge of statistics Preferred Qualifications - Proficiency with Apache Spark - Experience with Databricks - Experience with development of LLM-as-a-judge systems

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