{"id":2353343,"url":"https://alion.io/job/mastercard-senior-data-scientist-10","title":"Senior 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":94,"open_postings":244,"ghost_share":0.016,"stale_share":0.352,"repost_share":0.098,"time_to_fill_p50_days":21,"computed_at":"2026-10-14T06:34:16Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","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":24000,"max_usd":48000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":55},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CNN","optional":false},{"name":"Hadoop","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Time Series Forecasting","optional":false},{"name":"Keras","optional":true},{"name":"NLP","optional":true},{"name":"PyTorch","optional":true},{"name":"TensorFlow","optional":true},{"name":"XGBoost","optional":true}],"status":"live","first_seen_at":"2026-10-12T14:15:31Z","employer_posted_date":"2026-10-12","last_verified_at":"2026-10-14T13:44:23Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"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\nSenior Data ScientistOur VisionAI Garage is responsible for establishing Mastercard as an AI powerhouse. AI will be leveraged and implemented at scale within Mastercard providing a foundational, competitive advantage for the future. All internal processes, all products and services will be enabled by AI continuously advancing our value proposition, consumer experience, and efficiency.\nOpportunity\nJoin Mastercard's AI Garage @ Gurgaon, a newly created strategic business unit executing on identified use cases for product optimization and operational efficiency securing Mastercard's competitive advantage through all things AI. The AI professional will be responsible for the creative application and execution of AI use cases, working collaboratively with other AI professionals and business stakeholders to effectively drive the AI mandate.\nRole\nDevelop AI/ML solutions/applications leveraging the latest industry and academic advancements.\nStrong theoretical understanding of statistical techniques, machine learning algorithms and their mathematical underpinnings.\nInterpret and explain model predictions and insights to varied audiences.\nThrive in an unstructured environment, working autonomously on a strong team to find opportunity and deliver business impact.\nLeverage open and closed source technologies to solve business problems.\nAbility to work cross-functionally, and across borders drawing on a broader team of colleagues to effectively execute the AI agenda.\nPartner with technical teams to implement developed solutions/applications in production environment.\nSupport a learning culture continuously advancing AI capabilities.\nAll About You:\nExperience\nDemonstrated passion for AI competing in sponsored challenges such as Kaggle.\nPrevious experience with or exposure to:\no Deep Learning algorithm techniques, open-source tools and technologies, statistical tools, and programming environments such as Python, R, and SQL.\no Big Data platforms such as Hadoop, Hive, Spark, GPU Clusters for deep learning.\no Classical Machine Learning Algorithms like Logistic Regression, Decision trees, Clustering (K means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Recommender Systems - Collaborative Filtering, FPMC, FISM, Fossil.\no Deep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks - Feedforward,\no CNN, LSTM's GRU's is a plus. Optimization techniques - Activity regularization (L1 and L2), Adam, Adagrad, Adadelta concepts; Cost Functions in Neural Nets - Contrastive Loss, Hinge Loss, Binary Cross entropy, Categorical Cross entropy; developed applications in KRR, NLP, Speech and Image processing.\no Deep Learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, and Theono is a plus.\nEffectiveness\nEffective at managing and validating assumptions with key stakeholders in compressed timeframes, without hampering development momentum.\nCapable of navigating a complex organization in a relentless pursuit of answers and clarity.\nEnthusiasm for Data Sciences embracing the creative application of AI techniques to improve an organization's effectiveness.\nAbility to understand technical system architecture and overarching function along with interdependency elements, as well as anticipate challenges for immediate remediation.\nAbility to unpack complex problems into addressable segments and evaluate AI methods most applicable to addressing the segment.\nIncredible attention to detail and focus instilling confidence without qualification in developed solutions.\nCore Capabilities\nStrong written and oral communication skills\n• Strong project management skill\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 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