{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/title/staff-data-scientist"},"x-facet":{"type":"title","slug":"staff-data-scientist","display":"Staff Data Scientist","count":2},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a1f35a9c-2e5"},"title":"Staff Data Scientist","description":"<p>We are looking for a Staff Product Data Scientist to join our Data &amp; Insights team. This role will lead the strategy, development, and operationalization of advanced analytics and machine learning solutions that power data intelligence for Okta’s Product Management teams, uncovering actionable insights on customer behavior, product engagement, and opportunities that will drive our product growth strategy.</p>\n<p>You’ll define the long-term data science roadmap while partnering closely with Okta’s diverse Product Management teams and executive leadership.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Collaborate closely with Product Managers and leadership to provide insights that will help drive product strategy and roadmaps, ensuring decisions are grounded in a data-driven approach.</li>\n<li>Build and deploy statistical and machine learning models (e.g., predicting churn, lifetime value, feature adoption) to forecast user behavior and product growth opportunities in order to help influence roadmap decisions.</li>\n<li>Conduct thorough exploratory analysis on extensive, complex datasets to uncover key drivers of user adoption and engagement, identifying unseen opportunities for significant product improvement.</li>\n<li>Work with data engineering, analytics engineering, and data analysts to shape and enhance the foundational data infrastructure necessary for scalable ML and advanced analytics initiatives.</li>\n<li>Develop and construct usable data sets by integrating and manipulating information from various disparate data sources as needed.</li>\n<li>Translate intricate data insights into clear, compelling narratives for executives, product managers, and engineers, effectively influencing crucial business and product decisions.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>7+ years of experience in data science or ML, including 3–5 years in a senior, staff, or technical leadership role.</li>\n<li>Deep understanding of product analytics and data science frameworks, with a proven history of designing and analyzing product data to solve complex, ambiguous business problems and deliver measurable results.</li>\n<li>Demonstrated ability to apply cutting-edge AI tools to accelerate the discovery of deep, actionable insights from complex product data.</li>\n<li>Demonstrated ability to translate data insights into product impact and formulate strategic, data-driven recommendations.</li>\n<li>Deep expertise in machine learning algorithms (supervised, unsupervised, NLP, forecasting, optimization) and statistical modeling.</li>\n<li>Strong proficiency in Python, SQL, and leading ML libraries.</li>\n<li>Excellent communication skills and a proven ability to influence Product and executive partners.</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Experience in high-growth SaaS, cybersecurity, identity, or enterprise software environments.</li>\n<li>Prior ownership of ML platform/tooling decisions and evaluations.</li>\n<li>Experience enabling self-service analytics or citizen data science capabilities.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_a1f35a9c-2e5","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Okta","sameAs":"https://www.okta.com/","logo":"https://logos.yubhub.co/okta.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/okta/jobs/7731595","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$184,000-$253,000 USD","x-skills-required":["data science","machine learning","Python","SQL","statistical modeling","data engineering","analytics engineering","data analysts"],"x-skills-preferred":["high-growth SaaS","cybersecurity","identity","enterprise software"],"datePosted":"2026-04-18T15:58:37.181Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bellevue, Washington; 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assume hands-on leadership, especially when helping teams resolve complex problems through iterative execution.</li>\n<li>Identify broad company problems and opportunities that can be tackled through data science; work with relevant teams to design and build the data science outputs that deliver outsized value to our users and our business.</li>\n<li>Contribute to the overall strategy, roadmap, and vision of your data science team and organization.</li>\n<li>Evangelize and inspire best practices across data science; lead by example to build a culture of craftsmanship and innovation.</li>\n<li>Provide mentorship to our data science talent to help them grow technically and professionally.</li>\n</ul>\n<p>Minimum requirements:</p>\n<ul>\n<li>10+ years of data science experience OR equivalent combined industry and research experience in a quantitative field.</li>\n<li>B.S. / M.S. / Ph.D. in a quantitative field (e.g. Statistics, Mathematics, Economics, Operations Research, Quantitative Marketing, Physical Sciences, Engineering, etc.).</li>\n<li>Experience with modern causal inference techniques.</li>\n<li>Demonstrated experience of leading organization-wide initiatives spanning multiple teams, or leveraging deep domain expertise to influence tech roadmap planning and execution.</li>\n<li>Demonstrated ability to effectively collaborate across multiple teams and stakeholders to drive business outcomes.</li>\n<li>Experience creating alignment with stakeholders in ambiguous and complex situations.</li>\n<li>Demonstrated ability to balance execution and velocity with research, statistical depth, and scalable design.</li>\n<li>Experience, mentoring, and investing in the development of peers.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_8aceb903-d3d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Stripe","sameAs":"https://stripe.com/","logo":"https://logos.yubhub.co/stripe.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/stripe/jobs/7568328","x-work-arrangement":"remote","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["causal inference","experimentation","modeling","analytical insights","data foundations","modern causal inference techniques","leadership","cross-functional collaboration","stakeholder alignment","execution and velocity","research and statistical depth","scalable design"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:52:57.718Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"N/A"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Data Science","industry":"Technology","skills":"causal inference, experimentation, modeling, analytical insights, data foundations, modern causal inference techniques, leadership, cross-functional collaboration, stakeholder alignment, execution and velocity, research and statistical depth, scalable design"}]}