Search - Agent Builder - Senior Data Scientist jobs in United States
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Elastic · 2 days ago

Search - Agent Builder - Senior Data Scientist

Elastic, the Search AI Company, enables everyone to find the answers they need in real time using all their data at scale. As a Senior Data Scientist on the Search Conversational Experiences team, you will design and run evaluation pipelines, improve chat quality, and collaborate with cross-functional teams to drive product decisions.

AnalyticsCloud ComputingOpen SourceSaaSSearch EngineSoftware
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Comp. & Benefits
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H1B Sponsor Likelynote

Responsibilities

Design and maintain offline/online evaluation pipelines for conversational search: golden sets, rubric/LLM-as-judge calibration, groundedness/citation checks, and A/B tests
Build and compare retrieval & re-ranking baselines (sparse + dense), query understanding, and semantic rewrites; land improvements with clear metrics
Use results to drive product decisions: model selection, efficient agent routing, tool gating, and agent customization for Elastic use cases in search and beyond
Instrument dashboards and telemetry so helpfulness, faithfulness, latency, and cost trade-offs are visible and trustworthy; guard against regressions in CI
Collaborate tightly with backend engineers on contracts (ES|QL, citations, telemetry), and with PM/UX to translate findings into shipped features
Share outcomes clearly (docs, notebooks, PRs) and mentor peers in experiment design and evaluation craft

Qualification

Data ScienceMachine LearningInformation RetrievalNatural Language ProcessingPythonPyTorchElasticsearchA/B TestingEvaluation ExpertiseWritten CommunicationCollaboration

Required

5–8 years in applied DS/ML with strong IR/NLP experience (RAG, dense/sparse retrieval, re-ranking, vector search)
Proficiency in Python, PyTorch/Transformers, Pandas; reproducible experiments (e.g., MLflow), versioned datasets, and clean, reviewable code
Hands-on evaluation expertise: offline metrics (nDCG/MRR/Recall@k), LLM-as-judge calibration, groundedness/citation scoring, and online A/B testing
Experience turning experimental results into clear product calls (models, routing, tools) and communicating them crisply to cross-functional partners
Practical Elasticsearch experience (or similar); ES|QL familiarity is a plus
Comfort working in a distributed, async-first environment; strong written communication; low-ego collaboration

Benefits

Health coverage for you and your family in many locations
Ability to craft your calendar with flexible locations and schedules for many roles
Generous number of vacation days each year
We match up to $2000 (or local currency equivalent) for financial donations and service
Up to 40 hours each year to use toward volunteer projects you love
Embracing parenthood with a minimum of 16 weeks of parental leave
Company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings

Company

Elastic builds software to make data usable in real time and at scale for search, logging, security, and analytics use cases.

H1B Sponsorship

Elastic has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2024 (1)
2022 (2)
2021 (1)

Funding

Current Stage
Public Company
Total Funding
$162M
Key Investors
New Enterprise AssociatesIndex VenturesBenchmark
2018-10-04IPO
2018-05-03Secondary Market
2016-07-01Series D· $58M

Leadership Team

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Ashutosh Kulkarni
CEO
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Shay Banon
Chief Technology Officer
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Company data provided by crunchbase