{"id":3082010,"url":"https://alion.io/job/google-search-ads-research-data-scientist","title":"Search Ads Research Data Scientist","company":{"id":82,"name":"Google","domain":"google.com","url":"https://alion.io/company/google","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":84,"open_postings":184,"ghost_share":0.038,"stale_share":0.538,"repost_share":0.038,"time_to_fill_p50_days":30,"computed_at":"2026-10-23T05:54:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mountain View, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":139000,"max_usd":264000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1251},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-22T06:37:11Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-10-23T16:42:02Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"About the job\nAs a Data Scientist, you will evaluate and improve Google Search Ads products. You will collaborate with a multi-disciplinary team of engineers and analysts on a wide range of problems. This position will bring scientific excellence and statistical methods to the challenges of Search Ads product creation, development and improvement with an appreciation for the behaviors of the end user.\nIndividual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits\nLearn more about benefits at Google.\nResponsibilities\nCollaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.\nUse custom data infrastructure or existing data models as appropriate, using specialized knowledge. Design and evaluate models to mathematically express and solve defined problems with limited precedent.\nGather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure.\nOwn the process of gathering, extracting, and compiling data across sources via relevant tools (SQL, R, Python). 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