Lead Data Scientist

2 days ago

O'Fallon MO United States MasterCard Full time
About Mastercard

Mastercard is a global technology company in the payments industry, dedicated to connecting and powering an inclusive, digital economy that benefits everyone, everywhere. Our mission is to make transactions safe, simple, smart, and accessible using secure data and networks, partnerships, and passion. We cultivate a culture of inclusion for all employees, respecting their individual strengths, views, and experiences.

Job Title: Lead Data Scientist

We are seeking a highly skilled Lead Data Scientist to join our AI Services team. The ideal candidate will be passionate about data analysis, Machine Learning, and Artificial Intelligence, with a strong background in leading large data science projects and solving business challenges through data science.

Responsibilities:
  • Lead, design, develop, and deliver innovative ML/AI solutions for various data science projects.
  • Document and articulate various data science projects across the organization, following our engagement model, the Cross-Industry Standard Process for Data Mining (CRISP-DM).
  • Gain a clear understanding of business operations and data needed to solve problem statements for specific projects.
  • Pull and prepare data, train and test models, and be responsible for overall execution on projects using Mastercard operational and transaction data to glean insights for our partners.
  • Present your approach to the solution and model output to various business partners.
  • Maintain a current knowledge of advanced ML/AI tools and techniques.
  • Work with different partner teams and be an integral part of model deployment.
  • Build and maintain strong relationships with internal Mastercard partners.
Requirements:
  • Masters or PhD in a highly quantitative field (mathematics, statistics, computer science, or related fields).
  • Experience leading large data science projects, with a passion for solving business challenges through data science.
  • Experience leading other data scientists from a technical perspective.
  • Demonstrated research ability a plus.
  • Ability to quickly pick up new tools and technologies.
  • Excellent oral and written communication skills.
  • Experience in predictive modeling, data science, and analysis in both batch and streaming settings.
  • Proficiency in Python/R, Hadoop, Spark, MySQL with documentation for reproducibility.
  • Experience in anomaly detection, supervised/unsupervised learning, time-series data, and natural language processing. Experience in entity resolution a plus.
  • Hands-on experience with ML tools such as Numpy, SciPy, Pandas, Scikit-learn, Tensorflow, Keras, NLTK, Gensim, BERT, NetworkX, etc.
  • Excellent organization and interpersonal skills.
  • Very detail-oriented with an ability to think creatively.
  • Excellent problem-solving skills.
  • Self-motivated and capable of working independently but with a collaborative nature.
  • Proficient with data visualization and translating complex problems into actionable insight.
About You

We are an inclusive Equal Employment Opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

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