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Director, Data Scientist-R-228570

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Mastercard

Yesterday

  • Job
    Full-time
    Expert Level
  • IT & Cybersecurity
  • Vancouver

AI generated summary

  • You must have extensive data science experience, SQL, PySpark, and Python skills, a strong problem-solver mindset, experience in fraud detection, and a relevant degree.
  • You will lead a team in developing and optimizing real-time fraud models, manage data pipelines, evaluate model performance, and collaborate with business owners to enhance detection capabilities.

Requirements

  • Extensive data science experience and significant leadership roles
  • Demonstrated full lifecycle model development, deployment and evaluation for complex problems
  • Experience with SQL language and the following technologies: PySpark, Hadoop, Databricks
  • Good knowledge of Linux / Bash environment
  • Python
  • XGBoost
  • Good communication skills
  • Highly skilled problem solver
  • Exhibits a high degree of initiative
  • At least an undergraduate degree in CS, or a STEM related field
  • Prior experience in payment fraud detection modeling
  • PhD/Master’s in CS, Data Science, Machine Learning, AI or a related STEM field
  • Experience in with data engineering and model building in PySpark using Spark ML on petabyte scale data
  • Understands and implements methods to evaluate own work and others for bias, inaccuracy, and error
  • Loves working with error-prone, messy, disparate, unstructured data

Responsibilities

  • Be a senior practitioner and lead a team of data scientists delivering production quality fraud models that run in real time to screen transaction networks.
  • Work closely with the business owners to understand business requirements, performance metrics regarding data quality and model performance of customer facing products.
  • Work with multiple disparate sources of data, storage systems, and build processes and pipelines to provide cohesive datasets for analysis and modeling.
  • Generate and maintain and optimize data pipelines for model building and model performance evaluation.
  • Set the roadmap and identify methods and approaches that enhances the performance of existing fraud detection models.
  • Overall responsibility for development, testing, and evaluation of modern machine learning and AI models for specific products.
  • Oversee implementation of models.
  • Evaluate production models based on business metrics to drive continuous improvement.

FAQs

What is the primary purpose of the Director, Data Scientist position at Mastercard?

The primary purpose is to lead a team of data scientists in delivering production-quality AI and ML fraud models that enhance transaction safety and performance within Mastercard’s authentication and authorization networks.

What type of work does the Security Solutions Data Science team focus on?

The team focuses on creating AI and ML models for fraud detection, developing automated processes for model creation, and ensuring these models are production-ready and scalable.

What are the essential skills required for this role?

Essential skills include extensive data science experience, full lifecycle model development and evaluation, SQL proficiency, familiarity with technologies like PySpark and Hadoop, proficiency in Python and XGBoost, strong problem-solving abilities, and good communication skills.

What qualifications are preferred for this position?

A PhD or Master’s in CS, Data Science, Machine Learning, AI, or a related STEM field is preferred.

Is prior experience in payment fraud detection modeling required?

Yes, prior experience in payment fraud detection modeling is a requirement for this role.

What kind of data does the Director, Data Scientist work with?

The role involves working with multiple disparate data sources, unstructured data, and managing large datasets for analysis and modeling.

What responsibilities will the Director, Data Scientist have regarding model evaluation?

The Director will oversee the evaluation of production models based on business metrics to drive continuous improvement in fraud detection models.

Are there opportunities for continuous improvement in this role?

Yes, the role includes setting roadmaps and identifying methods to enhance the performance of existing fraud detection models.

What is the work environment like for this role?

The work environment is collaborative, involving teamwork with data scientists and engineers on innovative AI and ML solutions for fraud detection.

What support does Mastercard provide for professional development?

While specific professional development programs are not detailed in the job description, Mastercard emphasizes a culture of inclusion and innovation, which typically includes opportunities for growth and learning.

Connecting Everyone to Priceless Possibilities

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Industry
10,001+
Employees
1966
Founded Year

Mission & Purpose

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. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.