Data Scientist I

Mastercard

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Salt Lake City, UT
Salary
$72,000–$115,000 / yr
Posted
4 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $159k
This role $94k
$55k most similar roles pay here $233k

This role pays less than 98% of similar roles. Most pay $126,800–$191,250 — the shaded band above. At the midpoint, this role pays about $94k versus about $159k for comparable roles.

Based on 240 similar postings.

Employer

About Mastercard

Mastercard is a global technology company in the payments industry, processing transactions between financial institutions and merchants using its extensive network of credit, debit, and prepaid card products. Industry: Payments Technology & Financial Services

Mastercard currently has 116 open roles on FindRole.

Listed pay typically runs $122,000–$207,000 across 104 roles with salary data.

Most-posted roles

View all roles at Mastercard

At a glance

TL;DR · Data Scientist I

Data Scientist I joins the International, Open Banking, Product Value Proposition Team to develop and drive forward data-driven open banking solutions. Working as an individual contributor within a growing team, you will apply various data science techniques to large datasets to create innovative analytical solutions for affordability, credit decisioning, and identity verification. You will collaborate with engineers to build interactive dashboards using Plotly’s Dash framework while communicating insights to both technical and non-technical stakeholders. The role requires proficiency in Python and the machine learning library ecosystem, along with experience in time series analysis, natural language processing, and MLOps frameworks. You will solve complex problems within the financial services sector, specifically focusing on consumer and business lending. Key responsibilities include managing projects, conducting customer trials, and ensuring data governance across all developed products.

What does a Data Scientist earn?

Median $162025 from 276 postings across 61 companies.

See salary data

What you'll do

  • Apply data science techniques to large datasets to develop and deploy open banking solutions.
  • Build and deploy interactive dashboards using Plotly’s Dash framework for client insights.
  • Conduct customer trials to support data specification, processing, analysis, and result presentation.
  • Identify and propose new data sources and tools to improve product excellence.
  • Establish team methods for rapid prototyping, reproducibility, automation, and data governance.
  • Communicate technical and non-technical findings effectively to clients and internal stakeholders.
  • Develop solutions specifically for affordability, credit decisioning, and identity verification use cases.

What we're looking for

  • An undergraduate degree or higher in Computer Science, Data Science, Econometrics, Mathematics, Statistics, or a similar field.
  • Multi-project, hands-on experience of the end-to-end data science process with large, complex data.
  • Experience developing and deploying interactive dashboards based on Plotly’s Dash framework.
  • Workplace Python coding experience including knowledge of the principal Data Science and Machine Learning library ecosystem.
  • Excellent written and oral communication skills for both technical and non-technical audiences.
  • Commercial experience utilizing time series and natural language processing methods (preferred).
  • Practical knowledge or experience of solution deployment, including data science pipelines and MLOps frameworks (preferred).
  • Experience working in financial services regarding consumer and/or business lending (preferred).

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