{"id":166215,"url":"https://alion.io/job/mastercard-manager-data-scientist-3","title":"Manager, 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":85,"open_postings":163,"ghost_share":0.018,"stale_share":0.515,"repost_share":0.086,"time_to_fill_p50_days":27,"computed_at":"2026-11-03T05:54:40Z"}},"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":["Gurgaon, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":33000,"max_usd":72000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":20},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache NiFi","optional":false},{"name":"Hadoop","optional":false},{"name":"Machine Learning","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-07-31T00:00:00Z","employer_posted_date":"2026-08-31","last_verified_at":"2026-11-03T10:06:24Z","board_verified":true,"closed_at":null,"days_open":95,"trust":{"level":"stale","repost_count":1,"flags":["stale"],"days_open":95},"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\nManager, Data ScientistAbout Mastercard:Mastercard is a leading global technology company in the payments industry. Our mission is to connect and empower an inclusive, digital economy that benefits everyone, everywhere, by making transactions safe, simple, smart, and accessible. Leveraging secure data, robust networks, strategic partnerships, and our commitment to innovation, we enable individuals, financial institutions, governments, and businesses to realize their full potential. With a presence in over 210 countries and territories, we are dedicated to building a sustainable world that unlocks priceless possibilities for all, driven by our core value of decency.\nAbout the Team:\nThe Optimization Solutions team focuses on enhancing digital payment performance across all Mastercard products and regions. As consumer preferences evolve towards digital payments, we prioritize delivering a seamless and secure experience. The team analyses digital performance metrics, identifies factors influencing outcomes, and monitors broader industry trends. We generate actionable, data-driven insights and recommendations, collaborate with external stakeholders to implement optimization solutions, and work cross-functionally to ensure alignment and execution.\nPosition: Manager - Data Scientist\nThe Role\nAs part of the Optimization Solutions team, the role involves:\nPartner with global, cross functional teams to design, develop, and maintain advanced analytics and data science solutions that drive business impact.\nBuild, deploy, and scale machine learning models that deliver actionable insights for product optimization, growth, and sales enablement.\nLead the end to end design and technical oversight of complex data science and ML solutions, ensuring scalability, performance, and engineering excellence.\nDrive the development, validation, monitoring, and continuous improvement of predictive models, statistical techniques, and algorithms aligned with business objectives.\nEstablish and uphold best practices across statistical analysis, feature engineering, model evaluation, and performance monitoring.\nTranslate advanced analytics, model results, and experimental findings into clear, data driven insights for senior business and product stakeholders.\nDesign and implement robust data pipelines, including ingestion, aggregation, and processing of large-scale, high dimensional datasets.\nResearch and evaluate emerging AI, machine learning, and data science technologies to identify innovative opportunities and potential risks.\nContribute to the development and adoption of frameworks, standards, and guardrails that ensure responsible, compliant, and resilient AI solutions.\nApply appropriate metrics, benchmarking, and measurement frameworks to assess solution effectiveness and business value.\nAll About You\nEducation & Experience:\nStrong academic background in Computer Science, Data Science, Technology,\nMathematics, Statistics, or a related field-or equivalent work experience.\nExperience in data management, mining, analytics, reporting, product development, and quantitative analysis.\nTechnical Skills:\nProficiency in Python, Spark, Hadoop platforms (Hive, Impala, Airflow, NiFi), and SQL.\nFamiliarity with machine learning frameworks, libraries, data structures, and software architecture.\nExperience with BI platforms like Tableau or Power BI is a plus.\nAnalytical & Communication Skills:\nStrong analytical skills with a proven ability to translate data into compelling insights.\nExperience interacting with stakeholders to understand technical needs and deliver effective solutions.\nAbility to articulate the business value of products and contribute to sales enablement.\nWork Style:\nComfortable working in a fast-paced, deadline-driven environment.\n• Effective as both a team player and an individual contributor.\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":4963,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Cards & Card Issuing","Payment Processing & 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