Staff Applied Scientist - Dashboards
$276k - $345kUnited States Digital Space LLC
The Dashboards product is the company's unified single‑pane‑of‑glass for metrics, logs, and traces—a comprehensive treasure trove of observability data. We are transforming Dashboards into an AI‑native control surface and the central hub where every team moves seamlessly from question to insight to action—providing a guided experience that feels like having an expert SRE at your side and ensuring the entry point is never an empty canvas. What You’ll Do Own the evaluation strategy for Dashboards and related teams. Define the metrics—offline and online, quality and cost, single‑turn and multi‑turn—that the team and the broader organization optimize against. Build evaluation datasets, golden traces, and regression harnesses that catch quality changes before they hit customers, and make those assets reusable by every team that builds dashboards and widgets through agents. Drive measurable improvements to retrieval relevance, tool‑selection accuracy, and context efficiency, partnering closely with the engineers on the team. Provide technical leadership across the Dashboards team and the broader organization through design reviews, working groups, and mentorship. Who You Are Bachelor’s, Master’s, or Ph.D. in a scientific field, or equivalent experience. 10+ years of relevant engineering or applied science experience, including time as a technical lead. Proven track record of leading ML or GenAI initiatives in a product‑driven environment, from research through production. Significant experience with evaluation, experimentation, or measurement of ML systems at scale. Strong product mindset and comfortable driving initiatives across cross‑functional teams. Ability to thrive in ambiguity and make sound technical calls when the path isn’t yet defined. Benefits and Growth New hire stock equity (RSUs) and employee stock purchase plan (ESPP). Continuous professional development, product training, and career pathing. An inclusive company culture, giving programs, and the ability to join Community Guilds. Competitive global benefits and global Spring Health benefits for employees and dependents age 6+. Reasonable yearly salary range: $276,000 – $345,000 USD. Variable compensation and other benefits, such as healthcare, dental, parental planning, mental health benefits, 401(k) plan with match, paid time off, fitness reimbursements, and discounted employee stock purchase plan. Equal Opportunity The company is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. Qualified applicants are considered regardless of criminal histories, consistent with legal requirements. #J-18808-Ljbffr
$276k - $345k
...The Dashboards product is Datadog's unified single-pane-of-glass for metrics, logs, and traces-a comprehensive treasure trove... ...the entry point is never an empty canvas. We're hiring a Staff Applied Scientist to define and guarantee the quality of this AI system at scale...SuggestedWork at office- ...United States Digital Space LLC located in New York, New York, seeks a seasoned leader for the Dashboards product. The role involves owning evaluation strategies, building datasets, and improving machine learning systems. With a proven record in product-driven ML initiatives...Suggested
- ...Afresh, an AI platform for grocery, is seeking a Staff Applied Scientist to lead R&D for our replenishment technology. You will tackle complex problems of inventory control and significantly impact food waste reduction. Ideal candidates have extensive experience in machine...Suggested
$218k - $257k
...a rewarding impact and keeping commerce human. Salary Range $218,000.00 - $257,000.00 What’s the role? We’re looking for a Staff Applied Scientist I to join our Machine Learning Team for Growth. In this role, you’ll lead initiatives focused on leveraging machine learning...SuggestedFull timeLocal areaVisa sponsorship- ...United States Digital Space LLC is looking for a Staff Applied Scientist in New York to drive the evaluation strategy for AI agent integrations. You will define metrics, build evaluation datasets, and partner with engineering teams to enhance product quality. The ideal...Suggested
- ...Afresh Technologies, Inc. is seeking a Staff Applied Scientist to lead R&D on AI models for replenishment technology. Your work will tackle complex inventory problems, aimed at reducing food waste and enhancing produce freshness globally. With a focus on operations research...
$150k - $200k
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$170k - $200k
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At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent...Full time$217k - $303.9k
...across the site. We are looking for a Staff Data Scientist to join our Safety Insights Data Science... .... Don’t live near an office? You can apply to work remotely from anywhere in the... ...by defining metrics, frameworks, and dashboards that quantify and monitor safety experiences...Work at officeRemote work$218.7k - $249.6k
...simplicity to banking. We are committed to building world‑class applied science and engineering teams and continue our industry... ...role, you will: Partner with a cross‑functional team of data scientists, software engineers, machine learning engineers and product managers...Full timePart timeLocal areaFlexible hours$262.5k - $299.6k
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...Senior Staff, Decision Scientist, Risk USA Flex is a growth-stage, NYC headquartered FinTech company that is creating the best rent payment... ...to the payments platform Define metrics and dashboards to monitor performance and guide strategy Communicate clear...Full timeLocal areaRelocation packageFlexible hours2 days per week3 days per week$218.7k - $249.6k
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...About Distyl AI Distyl is an applied AI technology company partnering with the world's most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing...3 days per week
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