Job description

WHO WE ARE Hi, we're DuckDuckGo, the online protection company and remote-first team of 400+ on a mission to raise the standard of trust online. Founded in 2008 and profitable since 2014, our annual revenue is in the hundreds of millions USD and millions use our browser on Mac spreadprivacy.com, Windows spreadprivacy.com, iOS spreadprivacy.com, and Android spreadprivacy.com, our search engine duckduckgo.com, and the DuckDuckGo subscription duckduckgo.com. We also offer private, useful, and optional AI, including Duck.ai duck.ai, which lets you chat privately with ChatGPT, Claude, and other AIs, all in one place. Our culture duckduckgo.com of trust, inclusivity, and empowered project management underpins everything we do, where each team member takes full ownership of their projects, from scoping and execution to postmortem. If you're seeking end-to-end ownership of your work, you've come to the right place! YOUR TEAM AND ROLE Working on the Data Science Functional Team, you'll drive product and business impact through statistical modeling, experiment design, Bayesian marketing analysis, and classifier implementation across our search engine, instant answers, AI, and revenue optimization, and work on related projects. Recent projects include: - Defining core growth metrics for our products and building the infrastructure to monitor trends and anomalies - Measuring the impact of major marketing campaigns for Duck.ai duck.ai, translating full-funnel data into actionable decisions - Building monitoring pipelines to detect unexpected shifts in search traffic patterns faster and more reliably - Expanding evaluation datasets for page context understanding across complex scenarios like multi-tab browsing and content reattachment - Improving the trigger systems that determine when AI-assisted answers surface in DuckDuckGo Search, balancing quality and our privacy-first approach Our data meets rigorous privacy standards and is necessarily sparse, so you'll need to think creatively to surface actionable insights in an evidence-first culture where quantitative rigor is the baseline, not the exception. ABOUT YOU - You have 7+ years of experience in Data Science and a track record of leading high-complexity projects from scoping to production with minimal direction. - You can do 2 or more of the following: - Deploy and iterate on ML in production environments - Develop and deploy NLP solutions - Apply knowledge of LLMs including fine-tuning, LLM-as-judge, and AI-assisted development - Conduct marketing campaign analysis using Bayesian methods - You write production-grade code in Python or a comparable high-level language. - You have advanced SQL and query optimization skills, familiarity with columnar databases like BigQuery, Clickhouse, Redshift, or Druid; experience with a BI tool like Tableau or PowerBI is a plus. - You can design, implement, and analyze experiments across product surfaces, and are comfortable deriving insights from sparse or privacy-constrained data. - You collaborate effectively with product teams and contribute to overall team throughput. COMPENSATION This role is paid on a regional pay scale, in local currency, and stock options: - United States: $190,500 USD annually - United Kingdom: £134,600 GBP annually - Canada: C$253,500 CAD annually - Europe/Rest of World: €157,350 EUR annually In Spain, pay is expected to transition to the EUR scale on January 1, 2027, and in other Europe/Rest of World countries on February 1, 2027. Compensation is transparent across the organization, and all team members within the same professional level and global region receive the same compensation. Eligibility for company-sponsored health benefits is limited to team members based in the United States. This program does not extend to team members located in other countries, such as Canada or the UK. Our Team Member Support Guide duckduckgo.com explains how we prioritize your wellbeing including paid parental leave, office setup, and co-working allowances. HIRING PROCESS Hiring works best when it's a two-way street. Learn how we help you get to know DuckDuckGo, envision your future role here, and find out more about how we hire duckduckgo.com. DIVERSITY, EQUITY, AND INCLUSION DuckDuckGo provides equal work opportunities to all team members and applicants, and it prohibits discrimination and harassment of any type on the basis of race, color, ethnicity, caste, religion, age, sex (including pregnancy), national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by our policies or federal, state, or local laws. We want to ensure that our hiring process is accessible. If you need reasonable accommodation for any part of the application process because of a medical condition or disability, please send an email to careers@duckduckgo.com to let us know the nature of your request. PLEASE NOTE THAT: - You’ll be required to attend meetings on camera via video conferencing - Expect to travel at least two times a year: once for our all-hands meetup and again for a team retreat (each around 4-5 days). While extenuating circumstances may impact attendance, everyone is strongly encouraged to attend. - While we offer a flexible work arrangement with no core hours, expect an average full-time commitment of 40 hours per week. - A successful candidate must pass a background check as a condition of joining the team. - By applying for this role, you confirm that all information submitted is accurate and complete. You further acknowledge that providing false or fraudulent information during the application process is cause for denial of an offer, revocation of any existing offer, or other adverse action, up to and including termination after the start of your commencement of work. DISCLOSURE STATEMENT: USE OF AI IN HIRING PROCESS As part of our commitment to enhancing our recruitment process, we utilize artificial intelligence (AI) technology to assist in reviewing and summarizing job applications and test projects, including those tools integrated into our recruitment vendor platforms. We use AI to flag potentially fraudulent applications, analyze and summarize applicants’ experience, interviews, and project performance, and help streamline our selection process. KEY PRINCIPLES: - Data Privacy: All information provided in your application will be handled in accordance with our Recruiting Privacy Policy duckduckgo.com. We ensure that your personal information is protected and used solely for recruitment purposes. - Human Oversight and Accountability: The AI technology is designed to support our hiring team by providing insights and summaries of applications and evaluations of test projects against scoring rubrics. All final evaluations and hiring decisions, however, will be made by our hiring team, who will consider the AI's input alongside other factors. - Transparency: We believe in transparency regarding our hiring practices. If you have any questions about how AI is used in our recruitment process, please feel free to reach out to us. By submitting your application, you acknowledge and consent to the use of AI technology in our review process. If you would like to request an alternative selection process, please contact us as at careers@duckduckgo.com. Thank you for your interest in joining DuckDuckGo! #LI-DNI

Requirements

Must-haves

Defining core growth metrics for our products and building the infrastructure to monitor trends and anomalies
Measuring the impact of major marketing campaigns for Duck.ai http://duck.ai, translating full-funnel data into actionable decisions
Building monitoring pipelines to detect unexpected shifts in search traffic patterns faster and more reliably
Expanding evaluation datasets for page context understanding across complex scenarios like multi-tab browsing and content reattachment
Improving the trigger systems that determine when AI-assisted answers surface in DuckDuckGo Search, balancing quality and our privacy-first approach
You have 7+ years of experience in Data Science and a track record of leading high-complexity projects from scoping to production with minimal direction.
You can do 2 or more of the following:
Deploy and iterate on ML in production environments
Develop and deploy NLP solutions
Apply knowledge of LLMs including fine-tuning, LLM-as-judge, and AI-assisted development
Conduct marketing campaign analysis using Bayesian methods
You write production-grade code in Python or a comparable high-level language.
You can design, implement, and analyze experiments across product surfaces, and are comfortable deriving insights from sparse or privacy-constrained data.
You collaborate effectively with product teams and contribute to overall team throughput.
You’ll be required to attend meetings on camera via video conferencing
While we offer a flexible work arrangement with no core hours, expect an average full-time commitment of 40 hours per week.
A successful candidate must pass a background check as a condition of joining the team.
DISCLOSURE STATEMENT: USE OF AI IN HIRING PROCESS
Transparency: We believe in transparency regarding our hiring practices. If you have any questions about how AI is used in our recruitment process, please feel free to reach out to us.

Nice-to-haves

You have advanced SQL and query optimization skills, familiarity with columnar databases like BigQuery, Clickhouse, Redshift, or Druid; experience with a BI tool like Tableau or PowerBI is a plus.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

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Platform: ashby
Effort: quick

Benefits

Benefits detected in the listing.

Vision

Parental Leave