{"id":174740,"url":"https://alion.io/job/visa-staff-data-scientist","title":"Staff Data Scientist","company":{"id":83,"name":"Visa","domain":"visa.com","url":"https://alion.io/company/visa","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":84,"open_postings":135,"ghost_share":0.022,"stale_share":0.541,"repost_share":0.059,"time_to_fill_p50_days":34,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Bellevue, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":141100,"max":226000,"currency":"USD","period":"year","gross":null,"usd_annual":226000},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ChatGPT","optional":false},{"name":"Copilot","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Agile","optional":true},{"name":"GitHub","optional":true},{"name":"Hadoop","optional":true},{"name":"Python","optional":true},{"name":"Spark","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-06-10T00:00:00Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-13T16:03:24Z","board_verified":true,"closed_at":null,"days_open":156,"trust":{"level":"stale","repost_count":1,"flags":["stale"],"days_open":113},"description":"About Us\nVisa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.\nAt Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.\nJoin Visa and do work that matters - to you, to your community, and to the world. Progress starts with you.\nJob Description\nVisa’s Post Purchase organization is building AI-driven decision intelligence across dispute resolution and recovery products, including RDR, CDRN, VDRN, and Recover. We are seeking a Staff Data Scientist to lead high-impact machine learning initiatives that improve automation, recovery outcomes, and client experience at global scale.\nThis is a Staff-level individual contributor role for someone who thrives in ambiguity, owns complex problem spaces, and drives solutions from concept through production with measurable business impact. You will work with large-scale transactions and dispute data to develop models that enhance decision quality and enable scalable, intelligent systems.\nKey Responsibilities\nDefine and lead high-impact ML initiatives across dispute decisioning, merchant matching, and recovery prediction\nOwn end-to-end ML lifecycle, including problem framing, feature engineering, model development, deployment, and monitoring\nBuild and productionize scalable models using large-scale transaction and dispute datasets\nPartner closely with Product, Engineering, and Data Engineering to translate business needs into data-driven solutions\nDrive adoption of ML solutions through explainability, performance measurement, and stakeholder alignment\nDevelop experimentation frameworks to evaluate and continuously improve model performance\nDesign and implement GenAI/LLM-based solutions for explainability, workflow automation, and decision support\nInfluence product strategy by identifying opportunities to improve automation, efficiency, and customer outcomes\nMentor junior team members and contribute to best practices across the data science organization\nWork Environment\nVisa requires employees to work in the office 3 days per week. Specific expectations will be confirmed by the Hiring Manager.\nQualifications\nBasic Qualifications:\n5+ years of relevant work experience with a Bachelor’s Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience\nExperience with digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) to support everyday work\nPreferred Qualifications:\n6+ years of experience with a Bachelor’s degree or 4+ years with an Advanced degree or up to 3 years with a PhD\nAdvanced degree (MS or PhD) in AI, Computer Science, Statistics, Operations Research, or a related quantitative field\nExperience applying data science or analytics solutions to solve complex business problems with measurable outcomes\nProven track record of commercializing analytical or ML solutions in production environments\nStrong experience managing or leading end-to-end projects across cross-functional teams\nAgile experience and ability to manage evolving priorities in dynamic environments\nExperience working with large-scale datasets and building scalable models\nExperience with distributed data processing frameworks (e.g., Hadoop, Hive, Spark)\nProficiency in programming languages such as Python or R, along with SQL\nExperience with version control tools such as git or GitHub\nHands-on experience applying machine learning and predictive modeling tecniques to business problems\nExperience in data science, data engineering, or analytics roles in large-scale environments\nExperience in payments, fraud, risk, disputes, fintech, or transaction-heavy domains\nExperience working in global organizations with distributed stakeholders\nProven ability to lead projects, influence teams, and provide technical thought leadership\nWhat Sets This Role Apart\nOwnership of high-impact, ambiguous problem spaces across Visa’s Post Purchase ecosystem\nDirect influence on ML-driven decision intelligence and product strategy\nOpportunity to build scalable systems that improve recovery outcomes, automation, and client experience\nWork at the intersection of AI/ML, product, and platform at global scale\n\nInformation for US Applicants\nFor roles located in the US, the estimated salary range for this position is $141,100.00 to $ 226,000.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.Work Hours\nVaries upon the needs of the department.\nTravel Requirements\nThis position requires travel 5-10% of the time.\nMental/Physical Requirements\nThis position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.\nVisa is an EEO Employer\nQualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.","description_format":"text","description_chars":5954,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity","Life insurance"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Cards & Card Issuing","Payment Processing & Gateways"],"lifecycle":[{"event":"open","at":"2026-08-30T06:40:28Z"},{"event":"close","at":"2026-10-01T14:25:53Z"},{"event":"reopen","at":"2026-11-13T16:03:24Z"}],"visa":[{"country":"US","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"H-1B filings in 12 months: 756 · green card filings: 121","filings_12m":756,"filings_prev_12m":1087,"green_card_filings_12m":121,"median_offered_wage_usd":147620,"route":null,"cap_exempt":false,"checked_at":"2026-11-12T07:36:15+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":94}],"liveness":{"score":15,"band":"cold","label":"Long shot","p_open":1,"p_active":0.548,"p_room":0.28,"age_days":156,"expected_fill_days":34,"reasons":["conf:3","win:tail","crowd:brand"],"computed_at":"2026-11-13T19:11:59Z"},"pay":{"stated_usd_annual":226000,"is_top_pay":true},"html_url":"https://alion.io/job/visa-staff-data-scientist","json_url":"https://alion.io/job/visa-staff-data-scientist.json","meta":{"generated_at":"2026-11-13T19:11:59Z","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":38355,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-14T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"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":83},"rest":"https://alion.io/mcp/rest/get_company?id=83"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fvisa-staff-data-scientist"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"free","price":{"credits":0,"usd":0},"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%2Fvisa-staff-data-scientist"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"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%2Fvisa-staff-data-scientist"},{"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/visa-staff-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fvisa-staff-data-scientist"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":174740}},{"tool":"search_jobs","arguments":{"company":"visa.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":174740},"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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