{"id":57570,"url":"https://alion.io/job/applovin-data-scientist-analytics","title":"Data Scientist – Analytics","company":{"id":2452,"name":"AppLovin","domain":"applovin.com","url":"https://alion.io/company/applovin","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":82,"open_postings":11,"ghost_share":0,"stale_share":0.727,"repost_share":0,"time_to_fill_p50_days":48,"computed_at":"2026-11-06T05:58:05Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Palo Alto, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":93000,"max_usd":199000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":376},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Google BigQuery","optional":true},{"name":"Looker","optional":true},{"name":"Metabase","optional":true},{"name":"Snowflake","optional":true},{"name":"Superset","optional":true},{"name":"Tableau","optional":true}],"status":"live","first_seen_at":"2026-08-14T00:33:27Z","employer_posted_date":"2026-09-30","last_verified_at":"2026-11-07T03:43:28Z","board_verified":true,"closed_at":null,"days_open":85,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":84},"description":"About AppLovin\nAppLovin makes technologies that help businesses of every size connect to their ideal customers. The company provides end-to-end advertising solutions for businesses to reach, monetize and grow their global audiences. For more information about AppLovin, visit: www.applovin.com.\nTo deliver on this mission, our global team is composed of team members with life experiences, backgrounds, and perspectives that mirror our developers and customers around the world. At AppLovin, we are intentional about the team and culture we are building, seeking candidates who are outstanding in their own right and also demonstrate their support of others.\nWe are seeking a Data Scientist - Analytics to join our team and help bridge the gap between engineering and business functions at AppLovin. In this role, you will work with petabyte-scale datasets across our ad and app ecosystem, analyzing high-velocity data streams generated by tens of millions of daily active users. You will support the development of analytics tools, monitoring systems, and reporting pipelines that improve visibility into product health, business performance, and model outcomes. You’ll partner closely with research scientists, engineers, and business stakeholders to uncover insights, diagnose issues, and identify opportunities for growth.\nThis role is ideal for someone early in their data science career who enjoys solving ambiguous problems, has foundational statistical and modeling knowledge, and is excited to build impactful tools used across the organization.\nKey Responsibilities\nAnalytics, Monitoring & Tooling\nBuild and maintain dashboards, monitoring systems, and automated reporting to track product, business, and model performance.\nDevelop scalable analytics pipelines to surface key metrics, detect anomalies, and support timely issue diagnosis..\nDefine and refine KPIs, using structured, hypothesis-driven analysis to understand performance changes and long-term trends.\nInsights Discovery & Model Evaluation\nAnalyze large datasets to identify trends, diagnose performance changes, and uncover growth opportunities.\nConduct exploratory analysis, root-cause investigations, and hypothesis-driven deep dives.\nSupport engineering and research science teams in evaluating model performance, including stability, calibration, and long-term health.\nExperimentation & Measurement\nAssist in designing A/B tests, computing key metrics, and interpreting results.\nApply basic statistical reasoning (e.g., variance, confidence intervals, significance testing) to support decision-making.\nCross-Functional Collaboration\nPartner with engineering to integrate new data sources, refine data structures, and enable scalable analytics.\nWork with product and business teams to understand analytical needs and translate them into actionable solutions.\nMinimum Qualifications\nBachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, Economics, Engineering, or another quantitative discipline.\n Basic understanding of core statistical concepts and introductory modeling techniques, with the ability to apply them in practical analysis\n0-3 years of experience in data analytics or data science (internships or projects count).Proficiency with SQL and at least one analytical programming language (Python preferred).\n\nAbility to work with large datasets and translate findings into actionable recommendations.\nAbility to translate business questions into analytical frameworks and communicate insights effectively to both technical and non-technical audiences.\nCurious, proactive mindset with a desire to learn quickly and contribute meaningfully.\nPreferred Qualifications\nMaster’s degree in Data Science or a related quantitative discipline.\nExperience with BI tools such as Looker, Tableau, Superset, Metabase, or similar.\nFamiliarity with cloud data warehouses (e.g., BigQuery, Snowflake) and workflow orchestration tools such as Airflow.\nExposure to A/B testing, experiment design, or statistical evaluation.\nUnderstanding of digital advertising, performance marketing metrics, or online marketplace dynamics.\nExperience collaborating with cross-functional teams (engineering, product, business).\nWhat You’ll Gain\nHands-on experience with real production analytics, monitoring systems, and model evaluation.\nOpportunities to build foundational infrastructure that scales across teams.\nExposure to high-scale data challenges and real-world ML performance considerations.\nA meaningful role in driving insights that inform product and business strategy.\nAppLovin provides a competitive total compensation package with a pay for performance rewards approach. Total compensation at AppLovin is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Depending on the position offered, equity, and other forms of incentive compensation (as applicable) may be provided as part of a total compensation package, in addition to dental, vision, and other benefits.\nOther Types of Pay: Equity eligible\nHealth Insurance: Medical, Dental, Vision, Life, Disability\nRetirement Benefits: 401(k) Retirement Plan\nPaid Time Off: Unlimited Discretionary Time Off\nPaid Holidays: 10 paid holidays per year\nPaid Sick Leave: 80 hours per year\nMethod of Application: Apply online\nApplication Window: The application window is expected to close within 30 days of the posting date.\nAll questions or concerns about this posting should be directed to .\nCA Base Pay Range\n$156,000—$234,000 USD\nAppLovin is proud to be an equal opportunity employer that is committed to inclusion and diversity. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status, or other legally protected characteristics. Learn more about EEO rights as an applicant here.\nIf you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send us a request at \nAppLovin will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in California, learn more here.\nTo support an efficient and fair hiring process, we may use technology-assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers.\nPlease read our Global Applicant Privacy Notice to learn more about how AppLovin processes your personal information.","description_format":"text","description_chars":6651,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":["Equity","Growth opportunities","Health insurance","Retirement plans"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Advertising","Mobile Games","Digital Marketing","Marketing & Sales AI"],"lifecycle":[{"event":"open","at":"2026-08-14T00:33:27Z"},{"event":"close","at":"2026-08-17T20:47:51Z"},{"event":"reopen","at":"2026-09-09T10:03:19Z"}],"visa":[{"country":"US","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"H-1B filings in 12 months: 32 · green card filings: 9","filings_12m":32,"filings_prev_12m":31,"green_card_filings_12m":9,"median_offered_wage_usd":182500,"route":null,"cap_exempt":false,"checked_at":"2026-11-06T22:30:08+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":3}],"liveness":{"score":17,"band":"cold","label":"Long shot","p_open":1,"p_active":0.466,"p_room":0.36,"age_days":84,"expected_fill_days":48,"reasons":["conf:0","stale_co","win:tail","crowd:junior"],"computed_at":"2026-11-06T05:58:05Z"},"pay":null,"html_url":"https://alion.io/job/applovin-data-scientist-analytics","json_url":"https://alion.io/job/applovin-data-scientist-analytics.json","meta":{"generated_at":"2026-11-07T04:30:51Z","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":11024,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-08T00:00:00Z"}},"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":2452},"rest":"https://alion.io/mcp/rest/get_company?id=2452"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fapplovin-data-scientist-analytics"},{"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%2Fapplovin-data-scientist-analytics"},{"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%2Fapplovin-data-scientist-analytics"},{"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/applovin-data-scientist-analytics\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fapplovin-data-scientist-analytics"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":57570}},{"tool":"search_jobs","arguments":{"company":"applovin.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":57570},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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