{"id":1503688,"url":"https://alion.io/job/google-product-data-scientist-sellside-ads","title":"Product Data Scientist, Sellside Ads","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":75,"open_postings":103,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":30,"computed_at":"2026-10-12T06:55:09Z"}},"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":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":132000,"max_usd":253000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1089},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Gemini","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-28T11:39:36Z","employer_posted_date":"2026-09-30","last_verified_at":"2026-10-12T11:11:43Z","board_verified":true,"closed_at":null,"days_open":14,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":14},"description":"About the job\nWe are a team of product analysts and data scientists who partner within and across Ads product area groups (PAGs) on complex, data-intensive problems. We provide product analytics, in depth analyses, modeling, dashboards, metrics definitions and analytics consulting. We work closely with product managers and engineers to shape the strategy of this business.\nWe apply technical and business analyses to uncover insights and support and advise strategic decisions. This team interprets and analyzes huge data sets generated from real-time ads auctions running at 5-10M queries per second (QPS). We study longitudinal problems, like engagement and customer loyalty, new business segments, competitive positioning and risks. Our mission is to power Ads’ strategic product decisions with data-driven and objective perspective, insights and recommendations.Google Ads is at the forefront of AI innovation, applying cutting-edge machine learning and Generative AI models like Gemini to power a multi-billion dollar global business.\nOur work directly impacts billions of users by protecting users from harm, improving ad quality, and optimizing campaigns for advertiser return-on-investment. We foster a culture of deep collaboration, partnering closely with teams like Google Research and DeepMind to solve complex challenges. Join us to work on state-of-the-art AI, take on problems at an unparalleled scale, and build the next generation of advertising technology.\nIndividual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $138000 - $197000 (USD) + 15% bonus target + equity + benefits\nLearn more about benefits at Google.\nResponsibilities\nMake decisions from data, and be capable of maximizing impact by prioritizing requests from different stakeholders.\nCollaborate as part of a team of analysts supporting PMs and engineering teams for our sellside products: AdSense and Google Ad Manager and AdMob.\nWork cross-functionally with analyst colleagues in Finance and Publisher Intelligence.\nConduct ad-hoc deep dives into experiments and product performance to help prioritize product resource investments. Provide intelligence and quantitative support around auction fundamentals and engaged market dynamics; support our responses to regulatory inquiries and published research into these topics.\nAnalyze, uncover, and communicate upcoming risks and opportunities to the business. Develop infrastructure to scale and support existing analyses, and present findings to decision-makers and executives across the company.\nQualifications\nMinimum qualifications:\nBachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.\n5 years of experience with analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems), and coding (e.g., Python, R, SQL) or 2 years of experience with a Master's degree.\nPreferred qualifications:\nMaster's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.\n5 years of work experience with analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems), and coding (e.g., Python, R, SQL).","description_format":"text","description_chars":3313,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Operating Systems","Streaming & OTT Platforms","Foundation Models","Consumer Internet Groups"],"lifecycle":[{"event":"open","at":"2026-09-30T04:49:33Z"}],"visa":[],"liveness":{"score":47,"band":"ok","label":"Likely open","p_open":1,"p_active":0.528,"p_room":0.9,"age_days":13,"expected_fill_days":30,"reasons":["conf:2","stale_co","velocity","win:mid","comp:brand"],"computed_at":"2026-10-12T06:55:09Z"},"pay":null,"html_url":"https://alion.io/job/google-product-data-scientist-sellside-ads","json_url":"https://alion.io/job/google-product-data-scientist-sellside-ads.json","meta":{"generated_at":"2026-10-12T15:53:03Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":25193,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-13T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":82},"rest":"https://alion.io/mcp/rest/get_company?id=82"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fgoogle-product-data-scientist-sellside-ads"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fgoogle-product-data-scientist-sellside-ads"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fgoogle-product-data-scientist-sellside-ads"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/google-product-data-scientist-sellside-ads\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fgoogle-product-data-scientist-sellside-ads"}]}