Senior Data Scientist

Mastercard

Salt Lake City (UT)

On-site

USD 115,000 - 184,000

Full time

12 days ago

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Benefits offered by this job

Insurance coverage

401k with match

Paid time off

Tuition reimbursement

On-site fitness facilities

Job summary

Mastercard is seeking a Senior Data Scientist to develop market-leading, data-driven open banking solutions with a strong focus on affordability/credit decisioning and identity/income verification. You will be part of a growing data science team, collaborating with data engineers, developers, and clients to deliver insights and value.

The role emphasizes end-to-end data science, dashboard creation, and effective communication across technical and non-technical audiences, while contributing to

Qualifications

Undergraduate degree or higher in Computer Science, Data Science, Econometrics, Mathematics, Statistics, or similar field.
End-to-end data science experience on large, complex datasets including problem framing, results communication and deployment.
Experience deploying interactive dashboards using Plotly Dash.

Responsibilities

Apply data science techniques to large datasets from development to deployment.
Build and deploy interactive dashboards with data engineers to deliver engaging client insights.
Communicate requirements effectively with clients and stakeholders to meet needs.
Conduct customer trials to demonstrate impact of open banking solutions.
Proactively pursue product excellence via new data sources and cross-team collaboration.
Develop and implement team methods for rapid prototyping, reproducibility and governance.
Engage with Mastercard data science community to share best practices.

Skills

Python

Dash framework

Time series

NLP

Communication

Collaboration

MLOps

Education

Bachelor's degree in CS/Data Science/Math

Tools

TensorFlow

scikit-learn

Pandas

SQL

Job 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

Senior Data Scientist

Our Purpose

Title And Summary

Senior Data Scientist

Who is Mastercard?

As a global technology company our mission at Mastercard is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential.

Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.

Overview

Our International, Open Banking, Product Value Proposition Team is looking for a Senior Data Scientist to develop and drive forward Mastercard’s ambitious, data-driven open banking solutions, through the skillful application of data science and a highly customer centric focus. The ideal candidate is motivated, intellectually curious, technically excellent, a great communicator and someone who will enjoy helping us build out our data science team and capabilities.

Role

As an individual contributor working within a growing data science team, you will take responsibility for developing market leading, innovative, analytical open banking solutions. Focused in the first instance on affordability/credit decisioning and identity/income verification use cases, you will help empower consumers and drive value creation across our client base.

Specifically In This Position, You Will

In pursuit of highly valued, market leading, solutions and insights, apply a range of problem appropriate data science techniques to large data sets, from development to deployment support.
Work closely with data engineers and developers to build and deploy interactive dashboards, providing the best, most engaging insights and UX for our clients.
Communicate effectively with clients and stakeholders, ensuring their requirements are fully understood and met.
Conduct effective customer trials to grow our open banking impact, supporting data specification, data processing/analysis and result generation/presentation.
Be highly proactive in pursuit of product excellence. For example, by investigating/proposing new data sources, encouraging cross team working, managing projects to agreed schedules and looking to utilise new tools and techniques.
Help to develop, implement and honour effective, engaging team methods to support rapid prototyping, reproducibility, productivity, automation, and appropriate data governance.
Engage with the wider Mastercard data science community, sharing best practice, knowledge, and insights, in support of collaborative, fulfilling work and value creation.

All About You

An undergraduate degree or higher in Computer Science, Data Science, Econometrics, Mathematics, Statistics, or similar field of study.
Multi-project, hands-on experience of the end-to-end data science process in relation to large, complex data. From problem framing to results communication and solution deployment, you will be able to demonstrate having played a key part in a range of successfully delivered projects.
Real world experience of developing and deploying interactive dashboards based on Plotly’s Dash framework.
Workplace Python coding experience, including a good knowledge of the principal Python Data Science / Machine Learning (ML) library ecosystem.
Excellent written and oral communication skills for both technical & non-technical audiences.
Highly engaged, evidenced through specific examples of collaboration, effective teamwork, successful independent work, and continued professional development.
Commercial, experience of successfully utilizing time series and natural language processing (NLP – especially in relation to topic modelling and named entity recognition) methods. A good working knowledge of supervised and un-supervised techniques is presumed.
Practical knowledge/experience of solution deployment (data science pipelines, MLOps frameworks and libraries etc.).
Experience of working in financial services with respect to consumer and/or business lending.

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.

Corporate Security Responsibility

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 the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience.

Mastercard benefits for full time (and certain part time) employees generally include:

insurance (including medical, prescription drug, dental, vision, disability, life insurance)
flexible spending account and health savings account
paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave)
80 hours of Paid Sick and Safe Time
25 days of vacation time
5 personal days, pro-rated based on date of hire
10 annual paid U.S. observed holidays
401k with a best-in-class company match
deferred compensation for eligible roles
fitness reimbursement or on-site fitness facilities
eligibility for tuition reimbursement
and many more