Senior Data Scientist

Mastercard

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Salt Lake City, UT
Salary
$115,000–$184,000 / yr
Posted
5 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $159k
This role $150k
$91k most similar roles pay here $227k

This role pays less than 61% of similar roles. Most pay $126,800–$191,250 — the shaded band above. At the midpoint, this role pays about $150k 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 · Senior Data Scientist

As a Senior Data Scientist on the International, Open Banking, Product Value Proposition Team, you will serve as an individual contributor focused on developing innovative, data-driven open banking solutions. You will apply various data science techniques to large datasets to address affordability, credit decisioning, and identity verification use cases. Your daily responsibilities include collaborating with engineers to build interactive dashboards, conducting customer trials, and managing projects from problem framing to deployment. The role requires proficiency in Python and the machine learning library ecosystem, as well as experience with Plotly’s Dash framework. You will utilize time series analysis and natural language processing techniques, specifically for topic modeling and named entity recognition. This position addresses complex challenges within the financial services sector, specifically regarding consumer and business lending to drive value across a diverse client base.

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 innovative open banking solutions.
  • Build and deploy interactive dashboards using Plotly’s Dash framework to provide insights for clients.
  • Communicate technical requirements and project results effectively to both technical and non-technical stakeholders.
  • Conduct customer trials to support data specification, processing, analysis, and result presentation.
  • Propose new data sources and utilize modern tools to drive product excellence and innovation.
  • Establish team methods for rapid prototyping, reproducibility, automation, and proper data governance.
  • Share best practices and knowledge with the wider Mastercard data science community.

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 sets.
  • Real world experience developing and deploying interactive dashboards based on Plotly’s Dash framework.
  • Workplace Python coding experience including knowledge of the principal Python 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, including topic modeling and named entity recognition.
  • Practical knowledge or experience of solution deployment involving data science pipelines and MLOps frameworks.
  • Experience working in financial services regarding consumer and/or business lending.

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