Principal Data Scientist, Mastercard
Global payments technology company
Be an early applicant
Global payments technology company
1001+ employees
Be an early applicant
1001+ employees
Company mission
To connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible.
Role
Who you are
- 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
- Solid Python skills
- Familiarity with XGBoost
- Strong communication skills
- Highly skilled problem solver
- Exhibits a high degree of initiative
- At least an undergraduate degree in CS, or a STEM related field
Desirable
- 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
What the job involves
- You will be joining a team of Data Scientists and engineers working on innovative AI and ML fraud detection
- Be a senior practitioner researching and building 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 modelling
- 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
Our take
Mastercard is in the global payments business, and operates the world's fastest payments processing network. Its products and solutions have become central to everyday commerce across the world, in activities ranging from shopping and travelling to running businesses.
As the economy has become more and more digitised, Mastercard has been a leading player in helping businesses and individuals across the globe embrace card payments and digital banking. One of the world's largest companies, its revenue has seen consistent gain in the last 20 years.
The challenge for modern payments companies is that payments are always changing, as seen in the astronomical rise of contactless payments over the last decade. Mastercard's acquisition of blockchain systems, and an overall focus on leveraging its technology towards a digital economy, has placed the company in good stead to keep up to date with current trends, like cryptocurrency, in the digitised payments world.
Steph
Company Specialist at Welcome to the Jungle
Insights
21% employee growth in 12 months
Company
Company benefits
- Gym membership
- Share purchase options
- Extra holiday purchase optional
- Work from home opportunities
- Health insurance
Company HQ
Purchase, Harrison, NY
Leadership
Michael Miebach
(CEO, not founder)Has served in a variety of roles at the company, including President and CPO. Currently Board Member at IBM, Accion, the World Resources Institute, the US-India Strategic Partnership Forum, and the Metropolitan Opera. They are also a Trustee of USCIB.
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