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Expect deep dives on how you process large datasets, choose features, evaluate models, and explain tradeoffs. Prepare examples of visualizations that changed a decision, plus how you validate sampling and metrics under real product constraints. Be ready to discuss mentoring and setting standards at staff level.
Strong fit if you lead end-to-end data science work—from messy data through model comparison to clear visuals—and can operate remotely with high ownership. Duck Duck Go’s Staff Data Scientist bar favors someone who elevates methods and partners closely with product and engineering.
As a Staff Data Scientist at Duck Duck Go (remote), a typical day centers on shaping models and analyses that inform product and privacy-minded decisions. You clean and manipulate large datasets, apply feature selection and sampling methods, compare models with loss and variance metrics, and share results through clear charts and visualizations—often partnering with engineering and product to turn findings into shipped improvements.
Prioritize statistical programming, data cleaning, feature selection, sampling design, model comparison (loss functions, explained variance), and visualization. Strengthen communication so stakeholders can act on results. No certification resources were provided for this listing.
Core work matches data scientist tasks: cleaning data, building and comparing models, and communicating results with visualizations, with added scope for technical leadership.
Yes. The listing is remote for Duck Duck Go.
See the O*NET summary for Data Scientists at onetonline.org.
Public-domain labor data — prepare examples for 2–3 of these.
Staff Data Scientist at Duck Duck Go - Remote Full-Time Position Role Overview We're seeking a Staff Data Scientist to join our Data Science Functional Team. At DuckDuckGo, we are committed to online privacy and trust. Our team of over 300 professionals operates remotely, with a focus on empowering each member for full ownership of their projects from start to finish. Key Responsibilities Drive product and business impact by enhancing our search engine ranking and results. Improve first-phase ranking quality and precision without compromising latency. Develop new lexical-matching and document-authority signals. Expand search evaluations to measure relevancy readiness and identify ranking blindspots. Investigate large language models (LLMs) for feature generation and ranking. Requirements Minimum 10+ years of experience in Data Science, with at least 2+ years at Staff, Principal, or Director level. A proven track record of leading high-complexity projects from scoping to production with minimal direction. Comfort advising others on complex data science work and developing strategic plans. Ability to develop strategies for sparse data sets in an evidence-first culture emphasizing quantitative rigor. Working at Duck Duck Go Our culture is built around trust, inclusivity, and empowered project management. Each team member takes full ownership of their projects, from scoping and execution to postmortem analysis. We value end-to-end ownership and encourage creative problem-solving in a privacy-focused environment. Next Steps To apply, complete your application directly on this page, or you'll be redirected to the employer's application platform to finish submitting there.
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