1,000+ matching jobs for “Data Scientist”

How results work

Exact titles rank first, then title variations and keywords in descriptions. These labels aren't qualification scores. Without keywords, recently added jobs appear first.

Lennar

Lead Data Engineer

Irving, Texas, United States +1 location

on the Team Design, build, and operationalize data engineering solutions for Lennar’s data and analytics platforms and products. Architect and implement ETL, …

Added Oct 27, 2026

Save job

Vertex Pharmaceuticals

Executive Director, Data & Methods (Data and Computational Sciences)

Boston, Massachusetts, United States

Full time
Regular

Pay posted by employer$270,600–$406,000

The Executive Director, Data & Methods will lead a top-tier, multidisciplinary team of scientists and engineers to deliver foundational …

Added Oct 18, 2026

Save job

Biogen

Senior Clinical Scientist, Clinical Development

Cambridge, Massachusetts, United States

Hybrid
Full time
Regular

Pay posted by employer$141,000–$188,250

As a Senior Clinical Scientist, you will be an integral member of the clinical development team, significantly contributing to the …

Added Oct 30, 2026

Save job

Regeneron Pharmaceuticals

Scientist, Cardiac Vascular - In Vivo

TARRYTOWN

Full time
Regular

Pay posted by employer$93,900–$153,300

… conduct precision dosing and physiological monitoring, and generate high-quality functional and molecular data to support target validation and therapeutic development. This position offers the opportunity to …

Added Oct 16, 2026

Save job

Johnson & Johnson

Associate Scientist I, Discovery-Oncology

Beerse, Belgium

… to life while championing patients every step of the way. We are searching for the best talent for a Senior Scientist, in Oncology Discovery, Innovative Medicine, located in Beerse, Belgium Join our Oncology In Vivo team and …

Added Oct 18, 2026

Save job

Merck (MSD)

Senior Scientist - Design Control (Hybrid)

Rahway, New Jersey, United States

Pay posted by employer$117,000–$184,200

Job Description The Senior Scientist, Device Design Control Lead , is a crucial member of our team, responsible for spearheading design control …

Added Oct 16, 2026

Save job

Booz Allen Hamilton

Data Systems Engineer

Washington, District of Columbia, United States

Pay posted by employer$86,800–$198,000

Data Systems Engineer The Opportunity: Are you looking for an opportunity to combine systems thinking, …

Added Oct 27, 2026

Save job

Capital One Financial

Data Engineer 4

McLean, Virginia, United States +3 locations

… technical solutions in full-stack development tools and technologies Influence a team of developers, data analysts and data scientists with deep experience in machine learning, distributed microservices, lakehouse …

Added Nov 10, 2026

Save job

Capital One Financial

Data Engineer 4

McLean, Virginia, United States +3 locations

Added Oct 27, 2026

Save job

Regeneron Pharmaceuticals

Senior Manager, Clinical Scientist, Hematology

Warren +1 location

Full time
Regular

Pay posted by employer$150,500–$245,500

… develop life-changing medicines for people with serious diseases. We are seeking a Senior Manager, Clinical Scientist to join our Clinical Sciences team, supporting rare hematologic conditions and/or immunologic diseases. In …

Added Oct 16, 2026

Save job

Lead Data Engineer

Remote - Minnesota

In person

Pay posted by employer$188,251–$230,084

Lead Data Engineer Collaborate with Innovative 3Mers Around the World Choosing where to start and grow your career …

Added Nov 5, 2026

Save job

Capital One Financial

Data Engineer 5

Chicago, Illinois, United States

Added Oct 27, 2026

Save job

Capital One Financial

Data Engineer 4

McLean, Virginia, United States +1 location

Added Oct 27, 2026

Save job

Capital One Financial

Data Engineer 4

New York City, New York, United States +1 location

Added Oct 27, 2026

Save job

Capital One Financial

Data Engineer 4

Wilmington, Delaware, United States +1 location

Added Oct 27, 2026

Save job

Capital One Financial

Data Engineer 4

McLean, Virginia, United States +1 location 2 postings

Added Oct 27, 2026

Save job

Capital One Financial

Data Engineer 5

Wilmington, Delaware, United States

Added Oct 27, 2026

Save job

Capital One Financial

Data Engineer 4

Chicago, Illinois, United States

Added Oct 27, 2026

Save job

Capital One Financial

Data Engineer 4

Wilmington, Delaware, United States

Added Oct 27, 2026

Save job

Mastercard

Director, Data Science

Vancouver, British Columbia, Canada +1 location

Pay posted by employer$154,000–$247,000 CAD

… that help people, businesses and governments realize their greatest potential. Title and Summary Director, Data Science Overview The Security Solutions Data Science team is responsible for delivering Artificial …

Added Oct 27, 2026

Save job

Mastercard

Director, Data Science

Vancouver, British Columbia, Canada +1 more

Pay posted by employer$154,000–$247,000 CAD

View job

Save job

About this opportunity

Original employer description

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

Director, Data Science

Overview

The Security Solutions Data Science team is responsible for delivering Artificial Intelligence (AI) and Machine Learning (ML) models that support Mastercard’s Identity and risk products across the payment networks. These models are designed to be production-ready and to power high-value capabilities that protect digital transactions and enable trusted decisioning at scale.

Beyond model development, the organization is responsible for building scalable, repeatable, and resilient data science capabilities that cover the end-to-end lifecycle of machine learning solutions, from data acquisition and feature engineering through experimentation, validation, deployment, and monitoring. These systems must not only perform effectively in production, but also be built in a way that is industrialized, maintainable, and aligned with broader business and platform needs.

Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. Within this mission, the Identity Data Science portfolio plays a significant role in developing intelligence-driven solutions that improve how risk is understood and managed across the merchant lifecycle.

We are looking for a highly skilled and strategic Director to lead a Data Science team that focuses on solving merchant risk during onboarding and monitoring. This role is critical in driving the research and development of a merchant registry and profiling capability within the Identity Data Science portfolio. This includes setting the strategy for how merchant intelligence is built and scaled, guiding the development of reusable data science assets and profiling frameworks, and ensuring strong execution across product, engineering, and data science partners. You will help shape both the technical direction and operational model needed to turn this capability into a durable and scalable advantage.

Role
Key responsibilities include:
• Define and execute the strategy for solving merchant risk during onboarding and monitoring through the research and development of a merchant registry and profiling capability
• Lead, coach, and develop high-performing teams of Data Scientists, including hiring, mentorship, and performance management
• Build a strong team culture focused on collaboration, accountability, and continuous learning
• Guide the design of scalable machine learning and analytical systems using modern data and cloud platforms such as Databricks and Sparks.
• Establish best practices for problem framing, technique selection, experimentation, and validation across the team
• Ensure teams identify appropriate approaches for business problems and rigorously validate solutions against both technical and business outcomes
• Partner closely with Product, Engineering, and other stakeholders to translate strategic needs into data science roadmaps and deliverables
• Drive Agile delivery practices that support iterative development, measurable outcomes, and continuous improvement
• Promote reusable data assets, standardization, and scalable workflows that strengthen long-term execution
• Communicate strategy, progress, trade-offs, and business value clearly to senior leadership
• Balance long-term vision with near-term delivery to maximize impact and time-to-value

All About You
Essential Skills to be successful:
• Advanced degree (Master’s or PhD preferred) in Data Science, ML, or related field
• Extensive experience leading a Data Science team and drive innovation with inspiration.
• Experienced being a great people leader but able to dig into the work where necessary
• A proven track record of deploying high performance machine learning models at scale in a production environment
• Strong proficiency with Python, SQL, along with experience using scalable Machine Learning and Cloud frameworks
• Strong ability to guide teams in identifying appropriate techniques and validating solutions rigorously
• Critical thinking and a drive to produce high-quality work, ensuring that all solutions meet rigorous standards
• Demonstrated success translating complex business problems into strategic data science initiatives. Ability to lead through ambiguity and change
• Strong understanding of Agile methodologies, with the ability to drive iterative delivery across cross-functional teams
• Excellent stakeholder management, communication to both technical and non-technical audiences, and leadership skills
• Proven ability to build teams, influence roadmaps, and deliver measurable business value in complex environments
• High-energy and self-driven orientation

Nice to Have
• Experience building or scaling shared data science platforms, registries, or enterprise data assets
• Familiarity with merchant risk, fraud, or identity ecosystems
• Experience driving cross-team standardization and reusable capabilities
• Exposure to governance frameworks for model validation and AI systems

Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact [email protected] and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.

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.

In line with Mastercard’s total compensation philosophy and assuming that the job will be performed in Canada, the successful candidate will be offered a competitive pay based on location, experience and other qualifications for the role and may be eligible to participate in a discretionary annual incentive program. This is a pipeline posting for future opportunities within our team.

Pay Ranges

Vancouver, Canada: $154,000 - $247,000 CAD

Toronto, Canada: $154,000 - $247,000 CAD

Why this result? · Employer labels

Keywords also found in description

AI & Data

Location reference: GeoNames (CC BY 4.0), normalized by Referizz.