远程工作雷达

资深数据科学家

Staff Data Scientist

其他全球可投
公司DuckDuckGo
薪资未公开
工作地点不限地点
地域资格全球可投
时区要求无特别要求
用工类型未标注
发布时间28 天前
数据来源Real Work From Anywhere
前往 Real Work From Anywhere 查看并投递 →
全球可投:该职位未限制候选人所在地区。仍需注意薪资可能按地区折算,以及实际签约方式(正式雇佣 / 独立合同)。

我们是谁
你好,我们是DuckDuckGo,一家在线保护公司,也是由300多名成员组成的远程优先团队,致力于提升在线信任标准。自2008年成立以来,我们自2014年起实现盈利,目前年收入超过1亿美元,数百万用户使用我们的浏览器(支持Mac、Windows、iOS和Android)、搜索引擎以及DuckDuckGo订阅服务。我们还提供私密、实用且可选的AI,包括Duck.ai,让您可以在一个地方与ChatGPT、Claude和其他AI进行私密聊天。我们的信任、包容和赋权项目管理文化贯穿于所有工作中,每位团队成员对其项目从规划、执行到事后分析都拥有完全的自主权。如果您希望对工作拥有端到端的掌控,这里就是您的理想之地!

您的团队和职位
在数据科学职能团队中,您将通过改进我们的搜索引擎排名和结果来推动产品和业务影响。近期项目包括:
- 在不牺牲延迟的情况下提高第一阶段排名质量和精度
- 开发新的词法匹配和文档权威性信号
- 扩展我们的搜索评估以衡量相关性准备度并发现排名盲点
- 探索大语言模型用于特征生成和排名

我们的数据符合严格的隐私标准,因此数据必然稀疏,您需要创造性地思考,在以证据为先的文化中,以量化严谨性作为基础,而非例外,从而挖掘出可操作的见解。

关于您
您有10年以上数据科学经验,其中2年以上在高级、首席或总监级别,并有从规划到生产阶段领导高复杂度项目的记录,且需要最少指导。
您能够就复杂的数据科学工作向他人提供建议。
您能够为模糊、复杂的数据科学问题制定策略,并将其转化为一系列明确的项目。
您有在生产环境中部署机器学习的经验,开发过自然语言处理解决方案,并参与过AI辅助开发。
您能用Python或类似高级语言编写生产级代码。
您具备高级SQL和查询优化技能。
您能有效与产品团队协作,并为整体团队效率做出贡献。
优选经验:
- 从规划到生产阶段运行与搜索相关的项目(排名、检索或索引)
- 使用大规模搜索基础设施(如Vespa、Elasticsearch、OpenSearch或Solr)

薪酬
每年222,033美元,外加股票期权。
薪酬以美元计算

查看英文原文

Who We AreHi, we're DuckDuckGo, the online protection company and remote-first team of 300+ on a mission to raise the standard of trust online. Founded in 2008 and profitable since 2014, annual revenue now exceeds $100m USD and millions use our browser on on Mac, Windows, iOS, and Android, our search engine, and the DuckDuckGo subscription. We also offer private, useful, and optional AI, including Duck.ai, which lets you chat privately with ChatGPT, Claude, and other AIs, all in one place. Our culture 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 RoleWorking on the Data Science Functional Team, you'll drive product and business impact through improving our search engine ranking and results. Recent projects include:Improving first-phase ranking quality and precision without sacrificing latencyDeveloping new lexical-matching and document-authority signalsExpanding our search evaluations to measure relevancy readiness and surface ranking blindspots Investigating LLMs for feature generation and ranking 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 YouYou have 10+ years of experience in Data Science, with 2+ years at Staff, Principal, or Director level, and a track record of leading high-complexity projects from scoping to production with minimal direction.You are comfortable advising others on complex data science work.You can develop strategies for ambiguous, complex data science problems and turn them into a series of well-defined projects.You have hands-on experience deploying ML in production, developing NLP solutions, and in AI-assisted development.You write production-grade code in Python or a comparable high-level language.You have advanced SQL and query optimization skills.You collaborate effectively with product teams and contribute to overall team throughput.Preferred experience:Running search-specific projects (ranking, retrieval, or indexing) from scoping to productionWorking with large-scale search infrastructure (e.g. Vespa, Elasticsearch, OpenSearch, or Solr)Compensation$222,033 USD annually and stock options. Compensation is identical within professional levels, regardless of geographic location or team. Compensation for each professional level is transparent across the organization. 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 explains how we prioritize your wellbeing including paid parental leave, office setup, and co-working allowances.Hiring ProcessHiring 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.Diversity, Equity and InclusionDuckDuckGo 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 conferencingExpect 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 ProcessAs 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. 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

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