Lead Data Scientist

Posted Yesterday
Be an Early Applicant
Ashbourne, Meath, IRL
Hybrid
Entry level
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
We are a global technology company in the payments industry.
The Role
Develops end-to-end data science and machine learning solutions using large datasets. Responsibilities include data analysis, feature engineering, model training, testing, deployment, serving, monitoring, pipeline development, and production-model optimization. The role partners with business stakeholders to define requirements and performance metrics, works across data platforms and cloud environments, and applies AI tooling to improve analytics processes.
Summary Generated by Built In
Our Purpose
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.
Title and Summary
Lead Data Scientist
Role and Summary
Data Scientist
The Data Scientist in the Foundry R&D team is responsible for creating data & analytics solutions including deep learning Artificial Intelligence (A.I.) and Machine Learning (M.L.) models that sit atop large datasets. The Data Scientist is responsible for developing full life cycle modeling processes of data analysis, feature engineering, model training, testing, serving and monitoring.
As a Data Scientist, you will:• 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 building 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• Develop, test, and evaluate modern machine learning and A.I. models• Oversee implementation of models• Evaluate production models based on business metrics to drive continuous improvement• Leverage AI tooling for development of analytics code and data pipelines and to innovate on process
Essential Skills:• Data engineering and data science experience• Strong skills in Databricks, Snowflake, and other data platforms• Experience with SQL language and one or multiple of the following database technologies: PostgreSQL, Hadoop, Spark.• Experience in working with Cloud (e.g., Azure, AWS)• Python and one of the following machine learning libraries
o Spark ML
o TensorFlow
o Scikit Learn
o XGBoost• Good communication skills• Highly skilled problem solver• Exhibits a high degree of initiative• Bachelor's or Master's in CS, Data Science, ML/AI, or a related STEM field
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.

Skills Required

  • Data engineering and data science experience
  • Strong proficiency with Databricks, Snowflake, and other data platforms
  • SQL experience
  • Experience with PostgreSQL, Hadoop, or Spark
  • Cloud experience, such as Azure or AWS
  • Python experience
  • Experience with Spark ML, TensorFlow, Scikit-learn, or XGBoost
  • Strong communication skills
  • Highly skilled problem solver
  • High degree of initiative
  • Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence, or a related STEM field

What the Team is Saying

Jenny
Mastercard

Mastercard Compensation & Benefits Highlights

  • Retirement Support — Retirement plans are highlighted as especially strong, featuring a notably generous company match and added financial-planning resources. Feedback suggests this component stands out as a key strength of the overall package.
  • Parental & Family Support — Parental and family benefits are consistently portrayed as robust, including extended new-parent leave and assistance for fertility, adoption, and surrogacy. Feedback suggests these programs are a signature part of the offering.
  • Leave & Time Off Breadth — Paid time off is described as substantial, with multiple leave types and generous vacation and personal days noted in U.S. materials. Feedback suggests time off is frequently praised as a differentiator.

Mastercard Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Purchase, NY
38,800 Employees
Year Founded: 1966

What We Do

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re building a resilient economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Why Work With Us

We live the Mastercard Way: creating value in the communities we touch, growing together through the opportunities we see, and moving fast to innovate and scale. Our collaborative culture and our passionate people are the key to what we do, driving meaningful change as one team and connecting everyone to priceless possibilities.

Gallery

Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery

Mastercard Teams

Team
Technology
Team
Cybersecurity and Threat Intelligence
Team
Consulting
Team
AI and Data
About our Teams

Mastercard Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

In our ongoing workplace evolution, we’ve introduced hybrid work, Work-From-Elsewhere Weeks and Meeting-Free Days.

Typical time on-site: 3 days a week
Company Office Image
HQPurchase, NY | Global Headquarters
Company Office Image
Arlington Tech Hub
Company Office Image
Atlanta, GA
Company Office Image
Bogotá, Colombia
Boston, MA
Chicago, IL
Company Office Image
Dublin Tech Hub
Gurugram, India
Company Office Image
London, UK
Company Office Image
Miami, FL | Latin America & Caribbean HQ
Mumbai, India
Company Office Image
NYC Tech Hub
Company Office Image
St. Louis Tech Hub
Company Office Image
Pune Tech Hub
Tel Aviv, Israel
Company Office Image
Sydney Tech Hub
San Francisco, CA
São Paulo, Brazil
Seattle, WA
Company Office Image
Singapore
Company Office Image
Toronto, Canada
Vancouver Tech Hub
Learn more

Similar Jobs

Mastercard Logo Mastercard

Lead Data Scientist

Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Hybrid
Dunboyne, Meath, IRL
38800 Employees

Mastercard Logo Mastercard

Lead Data Scientist

Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Hybrid
Dunboyne, Meath, IRL
38800 Employees

Mastercard Logo Mastercard

Lead Data Scientist

Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Hybrid
Ashbourne, Meath, IRL
38800 Employees

Mastercard Logo Mastercard

Lead Data Scientist

Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Hybrid
Dunboyne, Meath, IRL
38800 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account