{"id":3053344,"url":"https://alion.io/job/mastercard-lead-data-scientist-nbm-program-performance","title":"Lead Data Scientist, NBM Program Performance","company":{"id":252,"name":"Mastercard","domain":"mastercard.com","url":"https://alion.io/company/mastercard","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":86,"open_postings":170,"ghost_share":0.024,"stale_share":0.435,"repost_share":0.082,"time_to_fill_p50_days":26,"computed_at":"2026-10-23T05:54:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Lisbon, Portugal"],"countries":["PT"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":53000,"max_usd":121000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":709},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-10-22T02:45:54Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-10-23T23:28:52Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Our Purpose\nMastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.\nTitle and Summary\nLead Data Scientist, NBM Program PerformanceOverviewThe Integrity & Standards team is part of the Security Solutions organization and is responsible for securing Mastercard transactions by managing minimum security standards for stakeholders, industry standards, fraud attacks and insights, and network integrity.\nThe Lead Data Scientist, NBM Program Performance will report to the Vice President, NBM Governance & Performance and serve as the analytical engine for the global Network Behavior Management (NBM) program. The role will develop and maintain the measurement framework, dashboards, and recurring insights needed to evaluate the performance of existing Transaction Processing Excellence (TPE) fees, understand the ecosystem harms they are designed to address, and quantify the benefits delivered to issuers, acquirers, merchants, cardholders, and Mastercard.\nThis individual will translate complex network, operational, fraud, dispute, and financial data into clear decision support for NBM governance, program prioritization, stakeholder engagement, and executive communications.\nRole\nDevelop and maintain a clear, repeatable NBM program analytics framework that measures ecosystem harm, intervention effectiveness, stakeholder outcomes, and overall program performance.\nBuild, maintain, and continuously improve dashboards that provide transparent views of existing TPE performance, including trends, concentration of behaviors, affected markets and stakeholders, and changes following implementation.\nDefine practical outcome measures and baselines for each TPE, distinguishing activity and fee collection from actual reduction of harmful behavior and improvement in ecosystem outcomes.\nAssess and quantify the nature, prevalence, severity, and distribution of the ecosystem harms that individual TPEs are intended to address.\nQuantify the benefits and potential unintended impacts of NBM interventions for issuers, acquirers, merchants, cardholders, and Mastercard, using a consistent methodology wherever possible.\nProduce monthly, quarterly, and annual program analytics and executive-ready insights, ensuring that performance is measured consistently across TPEs, regions, and stakeholder groups.\nIdentify underperforming, duplicative, outdated, or data-constrained TPEs and provide evidence-based analysis to support decisions to maintain, modify, consolidate, or retire them.\nPartner across Mastercard to identify authoritative data sources, validate assumptions, and improve data quality and comparability.\nCreate reusable analytical models and documentation, including metric definitions, calculation logic, data lineage, limitations, and controls, so that results can be understood, reproduced, and governed.\nPerform root-cause, trend, segmentation, and scenario analysis to explain changes in program performance and distinguish correlation from credible evidence of program impact.\nSupport the evaluation of proposed new TPEs by defining the harm baseline, expected outcomes, stakeholder impacts, measurement approach, and post-implementation review requirements before launch.\nDevelop concise narratives and visualizations that translate technical findings into clear implications, choices, and recommended actions for governance forums and senior leaders.\nMonitor the reliability and timeliness of recurring dashboards and reporting; proactively identify data gaps, anomalies, and methodological limitations and drive resolution with accountable partners.\nContribute analytical support to the NBM Revenue Transformation Steering Committee, including mapping targeted behaviors to Mastercard capabilities and providing evidence relevant to sustainable exit strategies for NBM fees.\nHelp strengthen a culture of objective, outcome-based performance management across the NBM program.\nKey Deliverables\nA governed NBM performance measurement framework with standard metric definitions and calculation methodologies.\nAn integrated dashboard suite covering TPE performance, ecosystem harm, stakeholder benefits, geographic and portfolio trends, and data-quality indicators.\nMonthly operating insights, quarterly performance reviews, and an annual NBM program impact assessment.\nTPE-level scorecards that connect the targeted behavior, measured harm, intervention, observed outcome, stakeholder benefit, limitations, and recommended action.\nPre-launch measurement plans and post-implementation effectiveness reviews for new or materially changed TPEs.\nA prioritized inventory of analytical gaps and the data, ownership, or process changes required to close them.\nMeasures of Success\nGovernance forums and senior leaders have a reliable, consistent view of whether NBM interventions are reducing harmful behavior and creating measurable ecosystem value.\nTPE decisions are supported by defined baselines, transparent methodologies, and evidence rather than fee or activity measures alone.\nDashboards and recurring reporting are accurate, timely, decision-oriented, and used to identify actions, owners, and priorities.\nStakeholder benefits and trade-offs are articulated across issuers, acquirers, merchants, cardholders, and Mastercard.\nData limitations are visible and progressively reduced through stronger definitions, lineage, controls, and cross-functional ownership.\nNBM performance measurement is consistent across regions while preserving necessary visibility into local differences.\nAll About You\nSignificant experience in analytics, business intelligence, program performance, payments, fraud, risk, network operations, or a related field.\nDemonstrated ability to build and maintain executive-level dashboards and translate complex datasets into clear business insights and decisions.\nStrong quantitative skills, including metric design, trend and segmentation analysis, benefit quantification, and assessment of analytical limitations.\nExperience with business-intelligence and data-analysis tools such as Power BI, Tableau, SQL, Python, or equivalent platforms.\nAbility to connect operational and financial measures with customer, consumer, risk, and ecosystem outcomes.\nStrong understanding of data governance, including metric definitions, data lineage, quality controls, documentation, and reproducibility.\nAbility to work across global and regional teams, influence without direct authority, and build productive relationships with technical and non-technical stakeholders.\nExcellent written and verbal communication skills, with the ability to create concise executive narratives and explain analytical findings to varied audiences.\nHigh intellectual curiosity, sound judgment, attention to detail, and a willingness to challenge assumptions constructively.\nAbility to manage multiple priorities independently and deliver high-quality work in a complex, evolving environment.\nExperience in the payments ecosystem and knowledge of issuer, acquirer, merchant, cardholder, fraud, dispute, or network dynamics is strongly preferred.\nBachelor’s degree in analytics, economics, finance, statistics, computer science, engineering, business, or a related discipline; advanced degree or relevant professional experience is a plus.\nCorporate Security Responsibility\nAll activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:\nAbide by Mastercard’s security policies and practices;\n\nEnsure the confidentiality and integrity of the information being accessed;\n\nReport any suspected information security violation or breach, and\n\nComplete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.","description_format":"text","description_chars":8281,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Cards & Card Issuing","Payment Processing & Gateways"],"lifecycle":[{"event":"open","at":"2026-10-22T02:45:54Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":1,"expected_fill_days":26,"reasons":["conf:4","velocity","win:early","comp:brand"],"computed_at":"2026-10-23T05:54:15Z"},"pay":null,"html_url":"https://alion.io/job/mastercard-lead-data-scientist-nbm-program-performance","json_url":"https://alion.io/job/mastercard-lead-data-scientist-nbm-program-performance.json","meta":{"generated_at":"2026-10-24T01:12:11Z","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":1957,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-25T00:00:00Z"}},"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":252},"rest":"https://alion.io/mcp/rest/get_company?id=252"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmastercard-lead-data-scientist-nbm-program-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%2Fmastercard-lead-data-scientist-nbm-program-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%2Fmastercard-lead-data-scientist-nbm-program-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/mastercard-lead-data-scientist-nbm-program-performance\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmastercard-lead-data-scientist-nbm-program-performance"}]}