{"id":2991292,"url":"https://alion.io/job/mastercard-lead-data-scientist-10","title":"Lead Data Scientist","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":["Dublin, Ireland"],"countries":["IE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":94000,"max_usd":212000,"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":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"Hadoop","optional":false},{"name":"Machine Learning","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"XGBoost","optional":false}],"status":"live","first_seen_at":"2026-10-14T00:00:00Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-23T15:29:03Z","board_verified":true,"closed_at":null,"days_open":9,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":9},"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 ScientistRole and SummaryData Scientist\nThe Data Scientist in the Foundry R&D team is responsible for creating data & analytics solutions including deep learning Artificial Intelligence (A.I.) and Machine Learning (M.L.) models that sit atop large datasets. The Data Scientist is responsible for developing full life cycle modeling processes of data analysis, feature engineering, model training, testing, serving and monitoring.\nAs a Data Scientist, you will:\nWork closely with the business owners to understand business requirements, performance metrics regarding data quality and model performance of customer facing products\nWork with multiple disparate sources of data, storage systems, and building processes and pipelines to provide cohesive datasets for analysis and modeling\nGenerate and maintain and optimize data pipelines for model building and model performance evaluation\nDevelop, test, and evaluate modern machine learning and A.I. models\nOversee implementation of models\nEvaluate production models based on business metrics to drive continuous improvement\nLeverage AI tooling for development of analytics code and data pipelines and to innovate on process\nEssential Skills:\nData engineering and data science experience\nStrong skills in Databricks, Snowflake, and other data platforms\nExperience with SQL language and one or multiple of the following database technologies: PostgreSQL, Hadoop, Spark.\nExperience in working with Cloud (e.g., Azure, AWS)\nPython and one of the following machine learning libraries\no Spark ML\no TensorFlow\no Scikit Learn\no XGBoost\nGood communication skills\nHighly skilled problem solver\nExhibits a high degree of initiative\n• Bachelor’s or Master’s in CS, Data Science, ML/AI, or a related STEM field\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 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