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Principal Data Scientist - Agent Builder at Elastic - ApplyBlast

Principal Data Scientist - Agent Builder

Elastic

4 months ago

4.0 on Glassdoor

Sweden

Hybrid

Full Time

Senior

0 applicants

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About this role

A Principal Data Scientist at Elastic leads the evaluation strategy for its conversational and agentic search platform, defining metrics and frameworks to ensure high-quality AI interactions. This applied leadership role involves collaborating with engineering and product teams to prototype, refine retrieval systems, and scale data-driven solutions that improve groundedness and reliability. You will mentor junior staff, influence technical roadmap decisions, and translate experimental results into measurable product improvements for Fortune 500 customers.

Responsibilities

Define evaluation strategies for conversational and agentic search experiences
Lead design of quality metrics and decision frameworks for RAG systems
Build and guide improvements across retrieval and re-ranking approaches
Partner with engineering to productionize evaluation pipelines and telemetry
Mentor data scientists and engineers on experiment design and statistical rigor

Skills

Qualifications

8+ years of applied DS/ML experience

About Elastic

elastic.co

Headquarters

San Francisco, California, United States

Company Size

1001-5000 employees

Founded

2012

View Profile

Elastic is the Search AI company that delivers the Elastic Search AI Platform to help organizations find answers and drive outcomes from their data. Built on Elasticsearch and the Elastic Stack (Kibana, Beats, Logstash), it provides solutions for enterprise search, observability, security (SIEM), and analytics to search, analyze, and visualize logs, metrics, and other data in real time. Available as cloud-hosted and self-managed deployments, Elastic offers APIs, machine learning, vector search, and developer-friendly tools rooted in open-source technology. Customers use Elastic to accelerate time-to-insight, detect and investigate threats, troubleshoot applications, and build rich search experiences.