Lead Data Scientist

Mastercard
Salt Lake City
Workplace: OnsiteFull timeUSD 140,000 - 231,000 annuallyFunction: Data Science & Machine LearningExperience: 7+ yearsEducation: mastersSkills: ["Python","SQL","Kubernetes","Docker","REST APIs","TensorFlow","Scikit-learn","Pandas","LLMs","GenAI","XGBoost","LightGBM","CATBoost","SVM","Random Forest","LSTM","RNN"]

Lead a data science team to deliver production-grade machine learning solutions for financial applications, mentor teammates, plan and direct ML projects, and communicate findings to business leaders. Build and optimize models for transaction classification, risk assessment, and NLP tasks, leveraging GenAI, LLMs, and a modern tech stack to impact financial health and Open Banking initiatives.

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FursaFursa
Mastercard
Mastercard
3 months ago

Lead Data Scientist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Status: Live

Job Summary

Lead a data science team to deliver production-grade machine learning solutions for financial applications, mentor teammates, plan and direct ML projects, and communicate findings to business leaders. Build and optimize models for transaction classification, risk assessment, and NLP tasks, leveraging GenAI, LLMs, and a modern tech stack to impact financial health and Open Banking initiatives.
Location: Salt Lake City
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key Responsibilities

  • •Lead, mentor and grow the data science team and tech stack focused on developing production-grade services and capabilities.
  • •Plan and direct data science / machine learning projects within the team.
  • •Design and implement machine learning models for financial applications including but not limited to: Transaction Classification, Temporal Analysis, Risk modeling from structured and unstructured data.
  • •Measure, validate, implement, monitor and improve performance of both internal and external facing machine learning models.
  • •Present technical problems and findings to business leaders internally and to clients succinctly and clearly.

Pay and Benefits

Salary: USD 140,000 - 231,000 annually

Key Requirements

  • •7+ years in data science/ machine learning model development and deployments.
  • •Exposure to financial transactional structured and unstructured data, transaction classification, risk evaluation and credit risk modeling is a plus.
  • •SQL / Database experience is preferred.
  • •Experience with Kubernetes, Containers, Docker, REST APIs, Event Streams or other delivery mechanisms.
  • •Familiarity with GenAI, LLMs, TensorFlow, Python, Sklearn, Pandas, etc.
Experience:7+ yearsFintechPayments
Education:Master's
Skills:PythonSQLKubernetesDockerREST APIsTensorFlowScikit-learnPandasLLMsGenAIXGBoostLightGBMCATBoostSVMRandom ForestLSTMRNN
Languages:English
Tech Stack:PythonKubernetesDockerREST APIsTensorFlowScikit-learnPandasLLMsGenAIXGBoostLightGBMCATBoostSVMRandom ForestLSTMRNN

Company Brief

Mastercard
Mastercard is a global payments and technology company that processes transactions, provides fraud prevention and data services, and builds payment infrastructure for consumers, businesses, merchants and governments across 200+ countries.
Industry: Payments
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Purchase, New York, United States
Founded: 1966
Glassdoor
Glassdoor: 4.1
WebsiteLinkedInGlassdoor