
Global payments and technology company
Senior Data Scientist
福利厚生
•育児休暇
•Learning Budget
•ストックオプション
必須スキル
Airflow
TensorFlow
PyTorch
About Us
At Mastercard, we're powering economies and empowering people, building a sustainable economy where everyone prospers.
Size: 10000+ employees
Industry: Consulting, Financial Services, Technology, Fintech
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
Senior Data Scientist:
Overview:
We are seeking a highly skilled and visionary Senior Data Scientist to support the development of advanced AI solutions that drive innovation and deliver measurable impact across the business. This role involves supporting complex AI initiatives and architecting scalable machine learning systems. The ideal candidate combines deep technical expertise with strategic thinking and strong leadership capabilities.
Role:
Responsible for developing AI-driven innovative analytical solutions and identifying opportunities to support business and client needs in a quantitative and scalable manner, facilitating informed recommendations and decisions. Activities include designing and deploying machine learning models, building intelligent systems, conducting performance analyses, ad hoc reporting, and AI-powered data visualizations.
In this position, you will:
Support complex initiatives and projects to derive insights and automation from AI models and systems to solve critical business questions
Translate client/stakeholder needs into AI-driven technical solutions in collaboration with internal and external partners and present findings and outcomes to clients/stakeholders
Identify rich data sources and oversee the integration, cleaning, and transformation of datasets to ensure consistency and readiness for AI applications
Deliver high-quality AI solutions and tools within agreed-upon timelines and budget parameters and conducting post-implementation reviews
Guide others to develop sophisticated AI models and engineering solutions (e.g., intelligent agents, recommendation engines, prototypes) utilizing advanced machine learning, deep learning, and generative AI techniques
All about you:
3 to 5 years proven experience leading AI/ML projects from concept to production
Strong proficiency in Python, Tensor Flow, Py Torch, and cloud platforms (e.g., AWS, Azure, GCP)
Deep understanding of machine learning, deep learning, NLP, and MLOps
Experience with complex neural network architectures and transformer-based models (e.g., BERT, GPT, Vi Ts) is strongly preferred
Experience with data architecture, model deployment, and performance tuning
Excellent communication and stakeholder management skills
Demonstrated ability to mentor and grow technical teams
#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.
Email Address
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Client-provided location(s): Dublin, Ireland
Job ID: Mastercard-22331_R-257869
Employment Type: OTHER
Posted: 2025-08-14T19:19:43
Apply on company site
Perks and Benefits
Health and Wellness
- Health Insurance
- Dental Insurance
- Vision Insurance
- Life Insurance
- Short-Term Disability
- Long-Term Disability
- FSA
- FSA With Employer Contribution
- HSA
- HSA With Employer Contribution
- Fitness Subsidies
- On-Site Gym
- Pet Insurance
- Mental Health Benefits
- Virtual Fitness Classes
- Health Reimbursement Account
Parental Benefits
- Birth Parent or Maternity Leave
- Non-Birth Parent or Paternity Leave
- Fertility Benefits
- Adoption Assistance Program
- Family Support Resources
- On-site/Nearby Childcare
- Adoption Leave
Work Flexibility
- Flexible Work Hours
- Remote Work Opportunities
- Hybrid Work Opportunities
Office Life and Perks
- Commuter Benefits Program
- Casual Dress
- Happy Hours
- Snacks
- Company Outings
- On-Site Cafeteria
- Holiday Events
- Some Meals Provided
Vacation and Time Off
- Paid Vacation
- Paid Holidays
- Personal/Sick Days
- Leave of Absence
- Volunteer Time Off
Financial and Retirement
- 401(K) With Company Matching
- Performance Bonus
- Relocation Assistance
- Financial Counseling
- Stock Purchase Program
- 401(K)
- Company Equity
Professional Development
- Tuition Reimbursement
- Promote From Within
- Mentor Program
- Access to Online Courses
- Lunch and Learns
- Internship Program
- Work Visa Sponsorship
- Leadership Training Program
- Associate or Rotational Training Program
- Shadowing Opportunities
Diversity and Inclusion
Employee Resource Groups (ERG)
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Mastercardについて

Mastercard
PublicA financial network that processes payments between banks and cardholders
10,001+
従業員数
Purchase
本社所在地
$360B
企業価値
レビュー
10件のレビュー
3.8
10件のレビュー
ワークライフバランス
2.8
報酬
4.1
企業文化
4.2
キャリア
3.4
経営陣
3.1
72%
知人への推奨率
良い点
Great team culture and supportive colleagues
Excellent benefits and compensation
Training and development opportunities
改善点
Work-life balance challenges and long hours
High pressure and stress during peak times
Management issues and lack of direction
給与レンジ
51件のデータ
L6
L7
L9
Mid/L4
Director
L5
L6 ·
0件のレポート
$198,500
年収総額
基本給
-
ストック
-
ボーナス
-
$168,725
$228,275
面接レビュー
レビュー3件
難易度
3.3
/ 5
期間
14-28週間
内定率
33%
体験
ポジティブ 33%
普通 34%
ネガティブ 33%
面接プロセス
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Behavioral Interview
5
Super Day/Final Round
6
Offer
よくある質問
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
Past Experience
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