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location_0_addressCountryName

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jobPosting hiringOrganization as json hashed.

ADAPTED_NOW

Data Scientist

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. As a Field Data Scientist within Mastercard Identity, a Services organization, you will have a diverse set of responsibilities supporting sales (pre-sales), customer success (post-sale), and product development, with the aim of supporting, growing, and developing a best-in-class product suite in the identity verification industry.

Salary

KBSkills

ACTIVE

YEAR

Our PurposeMastercard 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<h3></h3>Field Data Scientist<h3></h3>Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution. As a Field Data Scientist within Mastercard Identity, a Services organization, you will have a diverse set of responsibilities supporting sales (pre-sales), customer success (post-sale), and product development, with the aim of supporting, growing, and developing a best-in-class product suite in the identity verification industry. The role is focused on making sure potential prospects & clients see the best possible value from Mastercard Identity’s data ecosystem through machine learning or rule-based systems. As a product implementation expert, you will advise customers how to best leverage Identity’s data in their fraud workflows through proof of value tests. In addition, Field Data Scientists advise internal product stakeholders on opportunities for new product development and go to market strategies. Role As a Field Data Scientist you will: • Support the sales team to ensure Mastercard Identity can highlight the maximum benefit of its dataset through proof of value (POV) tests. • Support development of machine learning and rules-based models to help our client’s maximize fraud detection and false positive reduction, increase payment acceptance, and optimize their risk decisioning • Understand customer business needs and workflows, using this knowledge to position Mastercard Identity products and design solutions using them. • Proactively nurture & maintain one-on-one relationships with customer data scientists, with the aim of providing deep insights for development of fraud models. • Acquire a deep knowledge of Mastercard Identity products and data, using this knowledge to act as subject matter expert for customers. • Analyze Mastercard Identity data features and provide recommendations to our Product team to ensure that our products continually provide the best performing signals for our customers • Work with customer IT and engineering resources to QA their integration of Identity API products and ensure the correct data is available for modeling. • Assist with internal training on Identity products, data, and processes. • Attend product spec reviews to bring customer facing perspectives and share feedback from the market. All About You • Computer/Data Science or Engineering degree, or equivalent experience. • Experience in a customer-facing or heavily cross-functional role with data science centric project management experience. • Excellent scripting and analysis skills in python and SQL. • Solid presentation and communication skills. • Experience in a machine learning or data analytics capacity • Ability to create and understand supervised machine learning models. • Experience in understanding customer needs and using those to build design docs or technical specifications. • Proven ability to establish credibility with technical leaders in customer organizations. #SecuritySolutions<h3></h3>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 reasonable_accommodation@mastercard.com 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.<h3></h3>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:<ul><li>Abide by Mastercard’s security policies and practices;</li><li>Ensure the confidentiality and integrity of the information being accessed;</li><li>Report any suspected information security violation or breach, and</li><li>Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.</li></ul><h3></h3>Pay RangesVancouver, Canada: $88,000 - $141,000 CAD<h3></h3><h3></h3><h3></h3><h3></h3>

Mastercard

Field Data Scientist

salaryMin

salaryMax

payPeriod

currency

Analysis Skills

Application Programming Interface (API)

Communication Skills

Computer Science

Cross-Functional

Customer Relations

Customer Retention/Renewal

Customer/Client Research

Data Analysis

Data Quality

Data Science

Data Sets

Ecosystems

Information Assets

Information Technology & Information Systems

Information/Data Security (InfoSec)

Integration Testing

Internet Security

Machine Learning

Market Entry Strategy

Needs Assessment

Post-Sales

Pre-Sales

Product Design

Product Development

Product Positioning

Product Reviews

Project/Program Management

Python Programming/Scripting Language

Risk

Risk Management

SQL (Structured Query Language)

Sales Support

Scripting (Scripting Languages)

Technical/Engineering Design

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