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Data Scientist/Engineer - Online Metrics

Pantera Capital

Berlin

Hybrid

EUR 60.000 - 80.000

Vollzeit

Gestern
Sei unter den ersten Bewerbenden

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Zusammenfassung

A data-driven technology company is seeking a Data Scientist/Engineer based in Berlin. The role focuses on discovering user interaction signals to improve answer quality for products. Candidates should have a minimum of 4 years in a similar role and be proficient in Python and SQL. The position is hybrid and plays a crucial role in shaping product decisions through data-driven insights.

Qualifikationen

  • 4+ years of experience working as a Data Scientist or related role.
  • Experience with search, recommendation, or LLM-based products.
  • Proficiency in coding production-grade Python and SQL.

Aufgaben

  • Discover and validate online signals from user interactions.
  • Design novel online metrics for A/B testing.
  • Build and maintain data pipelines to calculate metrics.

Kenntnisse

Python
SQL
Statistical analysis
Business Intelligence tools

Ausbildung

MS in a technical field or equivalent experience

Tools

Apache Spark
Databricks
Jobbeschreibung
Location

London, Berlin, Belgrade

Employment Type

Full time

Location Type

Hybrid

Department

Data Science

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
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