Staff Applied Scientist, Dashboards

Datadog

Confirmed live 2 days ago High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Salary
$276,000–$345,000 / yr
Posted
97 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $208k
This role $310k
$130k most similar roles pay here $368k

This role pays more than 96% of similar roles. Most pay $162,000–$254,750 — the shaded band above. At the midpoint, this role pays about $310k versus about $208k 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 266 open roles on FindRole.

Listed pay typically runs $161,000–$205,000 across 138 roles with salary data.

Most-posted roles

View all roles at Datadog

At a glance

TL;DR · Staff Applied Scientist, Dashboards

Staff Applied Scientist - Dashboards joins the Dashboards team to define and guarantee the quality of an AI-native control surface for metrics, logs, and traces. The role involves owning evaluation strategies, building eval datasets, golden traces, and regression harnesses to ensure high performance across various widget types and data sources. You will drive measurable improvements in retrieval relevance, tool-selection accuracy, and context efficiency while providing technical leadership through design reviews and mentorship. This position requires a background in science or engineering with over ten years of experience in applied science or machine learning. The candidate must possess expertise in evaluating and measuring ML systems at scale within product-driven environments. You will solve complex problems regarding non-deterministic agent trajectories, tool selection among growing data sources, and maintaining quality across diverse visualizations to ensure a seamless user experience.

What does a Applied Scientist earn?

Median $208800 from 47 postings across 10 companies.

See salary data

What you'll do

  • Define offline and online evaluation metrics for quality, cost, retrieval relevance, and tool-selection accuracy.
  • Build eval datasets, golden traces, and regression harnesses to catch quality issues before production.
  • Create reusable measurement systems and assets for multiple teams building dashboards and widgets.
  • Drive measurable improvements in retrieval relevance, tool selection, and context efficiency.
  • Provide technical leadership through design reviews, working groups, and mentorship across the organization.
  • Develop evaluation frameworks for non-deterministic agent trajectories and complex multi-turn interactions.

What we're looking for

  • Hold a BS, MS, or PhD in a scientific field or equivalent experience.
  • Possess 10+ years of relevant engineering or applied science experience.
  • Experience as a technical lead is required.
  • Proven track record leading ML or GenAI initiatives from research through production in a product-driven environment.
  • Significant experience with evaluation, experimentation, or measurement of ML systems at scale.
  • Ability to drive initiatives across cross-functional teams with a strong product mindset.
  • Capability to make sound technical decisions and thrive in ambiguous environments.

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