Lead Data Scientist - Machine Learning Expert Job at Mastercard, New York, NY

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  • Mastercard
  • New York, NY

Job Description

Salary: $166,000 - 265,000 per year Requirements:

  • Proficiency in programming with Python and/or R
  • Experience with ML frameworks like TensorFlow, PyTorch, scikit-learn, and/or Spark/ML
  • Familiarity with model deployment using containers such as Kubernetes and/or Docker
  • Skills in anomaly detection and model/data drift analysis relating to production ML models
  • Ability to build and maintain ML production pipelines
  • Strong verbal and written communication skills
  • Bachelor of Science in Computer Science, Engineering, Mathematics, or a related field
  • Experience with a Fortune 500 company is advantageous
Responsibilities:
  • In this position, you will:
  • Design, develop, and conduct research on ML systems
  • Analyze, transform, and enhance data science prototypes
  • Clean, aggregate, and manage large datasets from platforms like Cloudera, AWS, Azure, and Splunk
  • Develop and maintain applications in Linux environments
  • Conduct statistical analyses of data
  • Iteratively train and retrain machine learning systems and models
  • Expand existing ML frameworks and libraries
  • Create data visualizations and compelling narratives using tools such as Tableau, Jupyter, RShiny, and/or d3s
  • Perform graph analytics using Python, R, or TigerGraph
Technologies:
  • AI
  • AWS
  • Azure
  • Docker
  • Jupyter
  • Kubernetes
  • Linux
  • Machine Learning
  • PyTorch
  • Python
  • Security
  • Spark
  • Splunk
  • Tableau
  • TensorFlow
  • Cloud
  • Support

More:

At Mastercard, our mission is to connect and empower an inclusive digital economy that benefits everyone. With a presence in over 210 countries and territories, we are dedicated to building a sustainable world full of priceless opportunities. Our AI Services team seeks a data scientist keen on operationalizing and scaling ML/AI applications to contribute to various data science projects. This role involves collaborating with top-tier data scientists focused not only on model-building but also on resolving critical business issues. We strive for a culture that prioritizes security and integrity, ensuring that all team members uphold our security policies and report any potential violations. We are proud to be an equal opportunity employer, and we provide a competitive compensation package, including benefits for full-time and certain part-time employees.

last updated 49 week of 2025

Job Tags

Full time, Part time,

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