Lead Data Scientist, Mastercard
Global payments technology company
Job no longer available
Global payments technology company
1001+ employees
Job no longer available
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
- The ideal candidate is comfortable working with Big Data sources and able to implement and validate predictive models to provide insights and solutions for different business problems
- The person in this role must be organized and follow best practices in coding and documentation
- Masters or Ph.D. 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 insights
What the job involves
- The Foundational AI team is looking for a Data Scientist who is passionate about data analysis, Machine Learning, and Artificial Intelligence
- 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
- 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
- Lead, design, develop and deliver innovative ML/AI 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)
- 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
- 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
Insights
Company
Company benefits
- Gym membership
- Share purchase options
- Extra holiday purchase optional
- Work from home opportunities
- Health insurance
Company values
- Trust - integrity, respect, openness
- Agility - urgency and value through innovation
- Partnership - working as one team for the benefit of all
- Initiative - taking bold and thoughtful actions
Company HQ
Purchase, Harrison, NY
Articles
Founders
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.
People progressing
Joined as VP in 2008, promoted 4 times in 11 years to their current position of Executive Vice President.
Salary benchmarks
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