{"id":3572,"date":"2026-09-03T22:24:10","date_gmt":"2026-09-03T22:24:10","guid":{"rendered":"https:\/\/coderseditor.com\/itjobs\/job\/senior-data-scientist-research-reliability-analytics\/"},"modified":"2026-09-03T22:24:10","modified_gmt":"2026-09-03T22:24:10","slug":"senior-data-scientist-research-reliability-analytics","status":"publish","type":"job_listing","link":"https:\/\/coderseditor.com\/itjobs\/job\/senior-data-scientist-research-reliability-analytics\/","title":{"rendered":"Senior Data Scientist, Research, Reliability Analytics"},"content":{"rendered":"

Senior Data Scientist, Research, Reliability Analytics Overview<\/h2>\n\n\n\n\n\n\n\n\n
Company Name<\/strong><\/td>\nGoogle<\/td>\n<\/tr>\n
Job Role<\/strong><\/td>\nSenior Data Scientist, Research, Reliability Analytics<\/td>\n<\/tr>\n
Qualifications<\/strong><\/td>\nNot Specified<\/td>\n<\/tr>\n
Category<\/strong><\/td>\nIT Jobs<\/td>\n<\/tr>\n
Job Type<\/strong><\/td>\nFull Time<\/td>\n<\/tr>\n
Location<\/strong><\/td>\nLondon<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

This role sits within the Reliability Analytics team, which focuses on improving decision-making and systems in Platform Reliability Engineering through data and data science. The team works across a wide range of reliability challenges where analytical approaches can make a meaningful difference, combining domain knowledge with statistical, predictive, and generative AI\/ML techniques to improve reliability for Google\u00e2\u0080\u0099s users and customers.<\/p>\n

In this position, you will help shape tools and methods that support reliability work at scale. The role is centered on building statistical and machine learning solutions, creating investigative data pipelines, and using data science to improve reliability outcomes for Google Cloud Platform. You will work closely with Platform Reliability Engineering and partner teams to support change supervision, rollout processes, and other key reliability areas. The work is expected to have a direct influence on engineering priorities and roadmaps, especially in areas tied to software releases and change management.<\/p>\n

The broader Technical Infrastructure organization provides the systems and platforms that keep Google\u00e2\u0080\u0099s products running. That includes work on data centers, core infrastructure, and the next generation of Google platforms. The environment is highly technical and collaborative, with an emphasis on keeping networks and services reliable and fast for users.<\/p>\n

What you will do<\/h3>\n
    \n
  • Build statistical, machine learning, and AI-driven tools, along with investigative data pipelines, that can be connected to existing reliability infrastructure or used to support new systems.<\/li>\n
  • Apply data science methods to improve Google Cloud Platform reliability in partnership with Platform Reliability Engineering, with a focus on change supervision and rollout-related work.<\/li>\n
  • Partner with engineering and product stakeholders to develop and improve reliability tools in ways that align with engineering goals and priorities.<\/li>\n
  • Develop deep familiarity with the relevant engineering infrastructure and data assets so you can help guide engineering roadmaps and priority-setting.<\/li>\n
  • Contribute to team learning sessions and support broader data science initiatives across the organization.<\/li>\n<\/ul>\n

    What you need<\/h3>\n
      \n
    • A master\u00e2\u0080\u0099s degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a similar quantitative field.<\/li>\n
    • At least five years of professional experience using analytics to solve product or business problems, including coding in Python, R, or SQL, querying databases, or performing statistical analysis; or at least three years of equivalent experience if you have a PhD.<\/li>\n
    • Practical experience with Python, SQL, and statistical modeling.<\/li>\n
    • Experience working with generative AI agents.<\/li>\n
    • For stronger consideration, eight or more years of analytics experience in product or business settings, including coding and statistical analysis; or six or more years of equivalent experience with a PhD.<\/li>\n
    • Experience in software development and with source control workflows.<\/li>\n
    • Experience in cloud computing or distributed computing environments.<\/li>\n
    • Ability to build investigative tools and data pipelines that can be integrated into infrastructure systems.<\/li>\n
    • A track record of influencing engineering priorities and roadmap decisions.<\/li>\n
    • Comfort operating at a mid-level scope, where you are expected to drive progress, solve problems, and mentor less experienced team members.<\/li>\n<\/ul>\n

      Additional context<\/h3>\n

      The role is based in London, UK. Google describes the position as mid-level and notes that it involves deeper expertise and applied knowledge in the relevant area, along with responsibility for driving progress, solving problems, and mentoring junior colleagues.<\/p>\n

      Google states that English proficiency is required for all roles unless a posting explicitly says otherwise. The company also notes that it does not accept agency resumes and will not be responsible for fees related to unsolicited resumes.<\/p>\n

      Google is an equal opportunity and affirmative action employer. It says it is committed to building a workforce that reflects the users it serves and to fostering a culture of belonging. The company says hiring decisions are made without regard to protected characteristics, subject to applicable law. It also references its EEO policy, workplace discrimination rights information, Belonging at Google, and its hiring process information.<\/p>\n

      If you need an accommodation during the application process, Google asks that you complete its accommodations form for applicants.<\/p>\n

      Information collected and processed through your Google Careers profile and any applications you submit is subject to Google\u00e2\u0080\u0099s Applicant and Candidate Privacy Policy.<\/p>\n

      Google also includes standard equity-related terms, explaining that equity is granted at Alphabet\u00e2\u0080\u0099s discretion under the relevant agreement and stock plan, is not guaranteed, and does not affect statutory payments or create an acquired right from past grants.<\/p>\n

      To apply, use the application link on the Google Careers posting for this role.<\/p>\n\n

      Degree Requirement:<\/strong> Not Specified<\/p>\n

      Visa Sponsorship May be<\/strong><\/p>\n","protected":false},"author":1,"featured_media":0,"template":"","meta":{"_acf_changed":false,"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_promoted":"","_job_location":"London","_application":"https:\/\/www.google.com\/about\/careers\/applications\/jobs\/results\/129277247038071494","_company_name":"Google","_company_website":"","_company_tagline":"","_company_twitter":"","_company_video":"","_filled":0,"_featured":0,"_remote_position":0,"_job_salary":"","_job_salary_currency":"GBP","_job_salary_unit":"yearly"},"job-types":[38],"class_list":["post-3572","job_listing","type-job_listing","status-publish","job-type-experienced"],"acf":[],"jetpack_sharing_enabled":true,"jetpack_likes_enabled":true,"_links":{"self":[{"href":"https:\/\/coderseditor.com\/itjobs\/wp-json\/wp\/v2\/job-listings\/3572","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/coderseditor.com\/itjobs\/wp-json\/wp\/v2\/job-listings"}],"about":[{"href":"https:\/\/coderseditor.com\/itjobs\/wp-json\/wp\/v2\/types\/job_listing"}],"author":[{"embeddable":true,"href":"https:\/\/coderseditor.com\/itjobs\/wp-json\/wp\/v2\/users\/1"}],"wp:attachment":[{"href":"https:\/\/coderseditor.com\/itjobs\/wp-json\/wp\/v2\/media?parent=3572"}],"wp:term":[{"taxonomy":"job_listing_type","embeddable":true,"href":"https:\/\/coderseditor.com\/itjobs\/wp-json\/wp\/v2\/job-types?post=3572"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}