Lead Data Scientist, Mastercard
$153-254k
Global payments technology company
Job no longer available
Global payments technology company
1001+ employees
Job no longer available
$153-254k
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
- Master's or PhD in Pure or Applied Mathematics, or an allied field, with in-depth knowledge of topology, preferably topological data analysis
- Experience leading research projects, with a passion for problem-solving using mathematics, statistics, machine learning, and artificial intelligence
- Leadership experience, either in a business setting or the classroom
- 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 is a plus
- Hands-on experience with ML tools such as Numpy, SciPy, Pandas, Scikit-learn, Tensorflow, Keras, NLTK, Gensim, BERT, NetworkX, etc
- Proficient with data visualization and translating complex problems into actionable insights
What the job involves
- 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
- The Foundational AI team is looking for a Data Scientist who is passionate about applying concepts from Topological Data Analysis (TDA) to Machine Learning and Artificial Intelligence problems in a business setting.
- The person in this role will be joining a team of leading-edge data scientists who are not just building models but are working to solve foundational business problems for the Company while making scientific contributions to the Data Science community
- The ideal candidate is comfortable with topological Data Analysis concepts like Persistent Homology and applying them to Big data sources, predictive, and descriptive models to provide insights and solutions for different business problems.
- The person in this role will be responsible for data interpretation and presentation to aid business partners in making informed data-driven decisions to improve business outcomes.
- The right candidate is able to collaborate with other data scientists and various internal business partners to help solve business problems using advanced ML/AI and TDA. The person in this role must be organized and follow best practices in coding and documentation
- Lead, design, develop, and deliver innovative solutions for various data science projects
- Be responsible for documenting and articulating various data science projects across the organization following our engagement model, the Cross-Industry Standard Process for Data Mining (CRISP-DM)
- Present results in either peer-reviewed papers or presentations at scientific and business conferences
- Gain mastery 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 TDA as well as ML/AI tools and techniques
- Work with different partner teams and be an integral part of model deployment
- Need to build and maintain strong relationships with internal Mastercard partners
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)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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