Senior Data Scientist

6 days ago

Miami, Florida, United States MasterCard Full time
About the Role

We are seeking a highly skilled Senior Data Scientist to join our Foundational AI team. As a key member of our team, you will be responsible for deploying machine learning models and associated data flows to production, searching, cleaning, and aggregating large data sets, and performing statistical data analysis.

Key Responsibilities
  • Deploy machine learning models and associated data flows to production
  • Search, clean, and aggregate large data sets from Cloudera Hadoop, Azure, and Splunk
  • Develop and maintain applications on Linux environments
  • Perform statistical data analysis
  • Iteratively train and retrain machine learning systems and models
  • Extend existing machine learning frameworks and libraries
  • Data visualization and storytelling with Tableau, Jupyter, RShiny, and/or d3s
  • Graph analytics with Python, R, or TigerGraph
Requirements
  • Programming with Python and/or R languages
  • Programming within machine learning frameworks such as TensorFlow, PyTorch, scikit-learn, and/or Spark/ML
  • Model deployment with containers such as Kubernetes and/or Docker
  • Anomaly detection and model/data drift analysis affecting production machine learning models
  • Building and maintaining machine learning production pipelines
  • Solid verbal and written communication skills
  • Bachelor of Science in Computer Science, Engineering, or Mathematics or similar field
  • Experience with a Fortune 500 company a plus
About Mastercard

Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences.

What We Offer
  • Competitive base salary based on location, experience, and other qualifications for the role
  • Annual bonus or commissions depending on the role
  • Insurance (including medical, prescription drug, dental, vision, disability, life insurance)
  • Flexible spending account and health savings account
  • Paid leaves (including 16 weeks new parent leave, up to 20 paid days bereavement leave)
  • 10 annual paid sick days
  • 10 or more annual paid vacation days based on level
  • 5 personal days
  • 10 annual paid U.S. observed holidays
  • 401k with a best-in-class company match
  • Deferred compensation for eligible roles
  • Fitness reimbursement or on-site fitness facilities
  • Eligibility for tuition reimbursement
  • Gender-inclusive benefits

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