Datadog

Staff Applied Scientist - Dashboards

Datadog
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3 months ago

Base Salary

$276k - $345k/yr

Responsibilities

  • Own the Dashboards and broader organization’s evaluation strategy and define offline, online, quality, cost, single-turn, and multi-turn metrics
  • Build evaluation datasets, golden traces, and regression harnesses reusable by teams developing dashboards and widgets through agents
  • Drive improvements to retrieval relevance, tool-selection accuracy, and context efficiency in partnership with engineers
  • Provide technical leadership through design reviews, working groups, and mentorship

Requirements

  • BS, MS, or PhD in a scientific field, or equivalent experience
  • 10+ years of relevant engineering or applied science experience, including experience as a technical lead
  • Proven track record leading ML or GenAI initiatives in a product-driven environment from research through production
  • Significant experience evaluating, experimenting with, or measuring ML systems at scale
  • Strong product mindset and ability to drive cross-functional initiatives
  • Ability to make sound technical decisions in ambiguous environments

Benefits

  • New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
  • Continuous professional development, product training, and career pathing
  • Inclusive company culture, giving programs, and employee resource groups through Community Guilds
  • Global benefits, including healthcare, dental, parental planning, mental health benefits, 401(k) plan and match, paid time off, fitness reimbursements, and Spring Health benefits
  • Hybrid workplace with office collaboration

Categories

Datadog

About Datadog

1,001-5,000 employees

Datadog is the essential monitoring platform for cloud applications. We bring together data from servers, containers, databases, and third-party services to make your stack entirely observable. These capabilities help DevOps teams avoid downtime, resolve performance issues, and ensure customers are getting the best user experience.

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