Member of Technical Staff (Product Data Scientist, Search Quality)
Skills & Technologies
Requirements
- Experience
- 4+ years
Joblaze summary
In this role, the Product Data Scientist focuses on enhancing search technologies by analyzing user behavior and A/B test data to drive product improvements. Key skills include strong Python and SQL proficiency, along with experience in search-related metrics and statistical analysis. This position is ideal for candidates with over four years of relevant experience, particularly those familiar with Business Intelligence tools and advanced data pipelines. Perplexity is poised for growth, emphasizing innovation in search quality.
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.
- 1036 active SQL roles on Joblaze right now.
- 223 active Apache Spark roles on Joblaze right now.
Quick facts
- How much experience is required?
- At least 4 years of relevant experience for this Member of Technical Staff (Product Data Scientist, Search Quality) role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Databricks, Apache Spark, SQL, Python, Business Intelligence.
- What seniority level is this role?
- Perplexity targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Member of Technical Staff (Product Data Scientist, Search Quality) role at Perplexity.
From the original posting
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