Director, Data Scientist

5 months ago

Vancouver, Canada Mastercard Full time

Our Purpose

We work 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. We cultivate a

culture of inclusion

for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team - one that makes better decisions, drives innovation and delivers better business results.

Title and Summary

Director, Data Scientist

The Security Solutions Data Science team is responsible for creating Artificial Intelligence (AI) and Machine Learning (ML) models backing its flagship product. The models generated are production ready and created to back specific products in Mastercard’s authentication and authorization networks. The Data Science team is also responsible for developing automated processes for creating models covering all modeling steps, from data extraction up to delivery. In addition, the processes must be designed to scale, to be repeatable, resilient, and industrialized.

Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution.

You will be joining a team of Data Scientists and engineers working on innovative AI and ML fraud detection. Our innovative cross-channel AI solutions are applied in Fortune 500 companies in industries such as fin-tech and banking. We are pursuing a highly motivated individual with strong problem-solving skills to take on the challenge of structuring and engineering data and cutting-edge AI model evaluation and reporting processes.

Role

As a Director, Data Scientist, you will:

- 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

All About You

Essential Skills:

- 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

Nice To Have:

- 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

AI

Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
- Abide by Mastercard’s security policies and practices;- Ensure the confidentiality and integrity of the information being accessed;- Report any suspected information security violation or breach, and- Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

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