{"id":2438980,"url":"https://alion.io/job/pubmatic-data-scientist-mobile-app-performance","title":"Data Scientist, Mobile App Performance","company":{"id":5112,"name":"PubMatic","domain":"pubmatic.com","url":"https://alion.io/company/pubmatic","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":75,"open_postings":27,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-14T06:34:16Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Redwood City, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":225000,"max":250000,"currency":"USD","period":"year","gross":null,"usd_annual":250000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Hadoop","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-09T16:09:00Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-14T03:15:59Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"About the Role:\nOwn the data science functionfor Mobile App performance, working at the intersection of MLandprogrammatic advertising. This is a high-ownership, high-visibility role--both internally and with our customers.\nWhat You'll Do:\nModel Development \nBuild signal enrichment pipelines leveraging contextual signals, behavioral data, and mobile attribution frameworks \nDevelop production-grade predictive models based on event data (clicks, installs, in-app events, retention). \nPartner with GTM teams to translate metric frameworks into buyer-facing insights and predictive models \nDrive Product Development \nConduct deep-dive analysis to influence product and engineering decisions: pull and query large datasets, extract valuable signals from noise, and produce actionable insights into how we can drive better outcomes for buyers and publishers \nDevelop predictive modeling frameworks to quantify performance gains from product hypotheses before they ship - reducing decision latency and de-risking the roadmap \nAct as the senior data science voice in product discussions. Bring partner-level insight and analytical rigor to roadmap decisions. \nEvaluate and Improve System Health \nUnderstand changes and drivers across PubMatic's mobile ecosystem: diagnose issues, identify structural inefficiencies, and track input/output metrics at each system component \nWork with product and engineering to define success metrics, design experiments, and evaluate new features before and after launch. \nDesign experiment frameworks and causal inference methods that produce reliable, unbiased signals for product and business decisions \nWho You Are:\nRequired \n5+ years of hands-on data science experience, with a focus on ML model development, statistical inference, and production-grade analysis \nDeep fluency in Python and SQL; experience with large-scale data environments (Spark, Hadoop, Hive, or equivalent) \nStrong foundation in experimental design, hypothesis testing, regression modeling, and causal inference \nExperience with ML algorithms relevant to ranking, prediction, and optimization problems: gradient boosted trees, deep learning, k-means, and related methods \nProven ability to extract actionable signals from noisy, high-volume datasets and communicate findings clearly \nTrack record of owning projects end-to-end, from problem framing through to production impact \nStrongly Preferred \nExperience in mobile advertising, programmatic, or ad tech \nFamiliarity with mobile measurement and attribution or campaign performance optimization in mobile applications \nBackground working alongside ML engineering or product teams on systems where the model is the product \nAdvanced degree (Master's or PhD) in Statistics, Computer Science, Mathematics, or a related quantitative discipline \nAdditional Information\nReturn to Office: PubMatic employees throughout the globe have returned to our offices via a hybrid work schedule (3 days “in office” and 2 days “working remotely”) that is intended to maximize collaboration, innovation, and productivity among teams and across functions.\nBenefits: Our benefits package includes the best of what leading organizations provide such as, paid leave programs, paid holidays, healthcare, dental and vision insurance, disability and life insurance, commuter benefits, physical and financial wellness programs, unlimited DTO in the US (that we actually require you to use!), reimbursement for mobile and fully stocked pantries plus in-office catered lunches 5 days per week.\nDiversity and Inclusion: PubMatic is proud to be an equal opportunity employer; we don’t just value diversity, we promote and celebrate it. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status\nAbout PubMatic\nPubMatic is one of the world’s leading scaled digital advertising platforms, offering more transparent advertising solutions to publishers, media buyers, commerce companies and data owners, allowing them to harness the power and potential of the open internet to drive better business outcomes.\nFounded in 2006 with the vision that data-driven decisioning would be the future of digital advertising, we enable content creators to run a more profitable advertising business, which in turn allows them to invest back into the multi-screen and multi-format content that consumers demand.\nCompensation Disclosure\nIn accordance withapplicable law, the below salaryrange provided is PubMatic’s reasonable estimate of the total compensation for this role. New hires and current team members are typically compensated toward the middle of our pay range.Theactual amount may vary, based on non-discriminatory factors such as location, experience, knowledge,skillsand abilities. In addition to salary PubMatic also offers a bonus and a competitive benefits package. \nTotal Compensation Range\n$225,000—$250,000 USD","description_format":"text","description_chars":4945,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Hybrid work","Life insurance","Vision insurance","Wellness"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Advertising"],"lifecycle":[{"event":"open","at":"2026-10-13T11:34:44Z"}],"visa":[],"liveness":{"score":60,"band":"ok","label":"Likely open","p_open":1,"p_active":0.602,"p_room":1,"age_days":4,"expected_fill_days":28,"reasons":["conf:3","stale_co","win:early"],"computed_at":"2026-10-14T06:34:16Z"},"pay":{"stated_usd_annual":250000,"is_top_pay":true},"html_url":"https://alion.io/job/pubmatic-data-scientist-mobile-app-performance","json_url":"https://alion.io/job/pubmatic-data-scientist-mobile-app-performance.json","meta":{"generated_at":"2026-10-14T07:52:47Z","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":9056,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-15T00:00:00Z"}},"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":5112},"rest":"https://alion.io/mcp/rest/get_company?id=5112"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fpubmatic-data-scientist-mobile-app-performance"},{"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%2Fpubmatic-data-scientist-mobile-app-performance"},{"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%2Fpubmatic-data-scientist-mobile-app-performance"},{"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/pubmatic-data-scientist-mobile-app-performance\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fpubmatic-data-scientist-mobile-app-performance"}]}