Staff Applied Scientist, Dashboards

Datadog

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
New York, NY
Salary
$276,000–$345,000 / yr
Posted
144 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $215k
This role $310k
$139k $367k
below market most similar roles pay here above market

This role pays more than 96% of similar roles. Most pay $182,501–$247,500 — the blue band above. At the midpoint, this role pays about $310k versus about $215k for comparable roles.

Based on 240 similar postings.

Employer

About Datadog

Datadog, Inc. is an American company that provides an observability service for cloud-scale applications, providing monitoring of servers, databases, tools, and services, through a SaaS-based data analytics platform.

Datadog currently has 73 open roles on FindRole.

Listed pay typically runs $192,000–$240,000 across 71 roles with salary data.

Most-posted roles

View all roles at Datadog

At a glance

TL;DR · Staff Applied Scientist, Dashboards

The Staff Applied Scientist - Dashboards joins the Dashboards product team to define and guarantee the quality of an AI-native control surface for metrics, logs, and traces. This role involves owning the evaluation strategy for the AI system, defining offline and online metrics for answer quality, tool-selection accuracy, retrieval relevance, latency, and token cost. You will build evaluation datasets, golden traces, and regression harnesses to catch quality changes before they reach customers. The position requires technical leadership through design reviews and mentorship while driving measurable improvements to context efficiency. Key requirements include a BS/MS/PhD in a scientific field, over ten years of engineering or applied science experience, and a proven track record leading ML or GenAI initiatives from research through production in a product-driven environment.

What does a Applied Scientist earn?

Median $208800 from 61 postings across 10 companies.

See salary data

What you'll do

  • Own the evaluation strategy for Dashboards and sister teams to define offline and online metrics.
  • Build evaluation datasets, golden traces, and regression harnesses to catch quality changes before production.
  • Drive measurable improvements to retrieval relevance, tool-selection accuracy, and context efficiency.
  • Create a measurement system to catch regressions across all widget types and data sources.
  • Provide technical leadership through design reviews, working groups, and mentorship across the organization.
  • Partner with engineers to optimize AI system quality, latency, and token costs.

What we're looking for

  • You must have a BS/MS/PhD in a scientific field or equivalent experience.
  • You must have 10+ years of relevant engineering or applied science experience.
  • You must have experience as a technical lead.
  • You must have a proven track record of leading ML or GenAI initiatives from research through production.
  • You must have significant experience with evaluation, experimentation, or measurement of ML systems at scale.
  • You must have a strong product mindset and the ability to drive initiatives across cross-functional teams.
  • You must be able to thrive in ambiguity and make sound technical calls when paths are undefined.

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