{"id":1558922,"url":"https://alion.io/job/mastercard-data-scientist-ii-8","title":"Data Scientist II","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":91,"open_postings":152,"ghost_share":0.013,"stale_share":0.48,"repost_share":0.053,"time_to_fill_p50_days":21,"computed_at":"2026-10-01T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","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":16500,"max_usd":39000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":13},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Hadoop","optional":false},{"name":"Machine Learning","optional":false},{"name":"Power BI","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"Airflow","optional":true},{"name":"Alteryx","optional":true},{"name":"Apache NiFi","optional":true},{"name":"Python","optional":true},{"name":"Scala","optional":true},{"name":"Snowflake","optional":true},{"name":"Spark","optional":true},{"name":"SSIS","optional":true}],"status":"live","first_seen_at":"2026-09-30T00:00:00Z","employer_posted_date":"2026-09-30","last_verified_at":"2026-10-01T13:50:24Z","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\nData Scientist IIData Scientist II, Product Data & AnalyticsOur Vision\nThe Product Data & Analytics team builds internal analytics partnerships that strengthen focus on business health, portfolio performance, revenue optimization, initiative tracking, new product development, and go-to-market strategies. We are a hands-on global team that delivers scalable, end-to-end data solutions in close partnership with the business. Through data-driven insights, we influence decisions across Mastercard. Our team includes analytics engineers, data architects, BI developers, data analysts, and data scientists who collectively manage our data assets and analytical solutions.\nWhat We Look For\nAre you excited by the value that data assets can bring to an organization?\nAre you an advocate for data-driven decision-making?\nAre you motivated to be part of a global analytics team that builds large-scale analytical capabilities for users across continents?\nAre you interested in proactively improving data-driven decisions for a global corporation?\nRole Responsibilities\nPartner with global and regional teams to design, develop, and maintain advanced reporting and data visualization capabilities using large-scale data sets across products, markets, and services.\nTranslate business requirements into clear solution specifications and deliver high-quality outputs on time.\nCreate repeatable processes for ETL development, data modelling, and reporting.\nUse analytical tools to manipulate large-scale databases, synthesize insights, and present findings through Tableau, Power BI, Excel, and PowerPoint.\nApply quality control, data validation, and cleansing processes to both new and existing data sources.\nBring passion, curiosity, and technical expertise to every engagement.\nCandidate Profile\n3-5 years of experience in data engineering and management, data mining, data analytics, reporting, data product development, or quantitative analysis.\nAdvanced SQL skills, including the ability to write optimized queries for large data sets.\nExperience writing stored procedures, functions, and views is preferred.\nExperience with platforms and environments such as Databricks, Cloudera Hadoop, big data technology stacks, SQL Server, Microsoft BI Stack, cloud platforms, Snowflake, and related technologies.\nExposure to Python, Scala, Hive, Impala, Spark, cloud technologies, and related tools.\nExperience creating data pipelines using tools such as Alteryx, SSIS, or similar platforms.\nExperience with at least one data visualization tool, such as Power BI, Tableau, or a similar platform.\nExposure to AI, machine learning, or agent creation is a plus.\nAdvanced knowledge of job scheduling tools such as Apache Airflow, NiFi, or similar workflow orchestration tools.\nExperience applying data validation, quality control, and cleansing processes to new and existing data sources.\nAbility to present data findings in a clear, readable, and insight-driven format, including support decks for stakeholders.\nAbility to engage with management and internal stakeholders to gather and clarify requirements.\nAbility to work effectively in a team, apply sound judgment, and operate through ambiguity.\nExperience in financial institutions or payments is a plus.\nEducation\nBachelor’s or master’s degree in Computer Science, Information Technology, Engineering, Mathematics, Statistics, or a related field; M.S. or M.B.A. preferred.\nAdditional Competencies\nExcellent English language, quantitative, technical, and communication skills, both written and verbal.\nStrong analytical and problem-solving skills.\nHigh attention to detail and commitment to quality.\nCreativity and innovation in approaching analytical challenges.\nSelf-motivated working style with a strong sense of urgency.\nProject management discipline with an ability to identify and mitigate risks.\nAbility to prioritize and manage multiple tasks simultaneously.\nCorporate Security Responsibility\nAll activities involving access to Mastercard assets, information, and networks carry inherent risk. Everyone working for, or on behalf of, Mastercard is responsible for protecting information security and is expected to:\nAbide by Mastercard’s security policies and practices.\nEnsure the confidentiality and integrity of all information accessed.\nReport any suspected information security violation or breach.\n• Complete all required periodic security training in accordance with Mastercard guidelines.\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":5565,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":true}]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Cards & Card Issuing","Payment Processing & Gateways"],"lifecycle":[{"event":"open","at":"2026-10-01T03:18:32Z"}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":1,"expected_fill_days":21,"reasons":["conf:2","velocity","win:early","comp:brand"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/mastercard-data-scientist-ii-8","json_url":"https://alion.io/job/mastercard-data-scientist-ii-8.json","meta":{"generated_at":"2026-10-01T20:19:56Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":2891,"day_limit":5000,"remaining_today":2109,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}