Lead Data Scientist

Visa

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Bellevue, WA
Salary
$180,000–$288,000 / yr
Posted
145 days ago
Freshness
Confirmed live yesterday
Closes
Feb 28, 2027

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $163k
This role $234k
$96k most similar roles pay here $309k

This role pays more than 92% of similar roles. Most pay $127,703–$198,950 — the shaded band above. At the midpoint, this role pays about $234k versus about $163k for comparable roles.

Based on 240 similar postings.

Employer

About Visa

Visa Inc. is the world''s largest payment network, enabling digital payments for consumers, merchants, financial institutions, and governments through its global processing network and branded card products. Industry: Payments Technology & Financial Services

Visa currently has 101 open roles on FindRole.

Listed pay typically runs $149,200–$238,700 across 96 roles with salary data.

Most-posted roles

View all roles at Visa

At a glance

TL;DR · Lead Data Scientist

As a Lead Data Scientist on the Visa Acceptance Platform team, you will join a multi-functional development group focused on building innovative payment solutions and advancing artificial intelligence within the payments space. You will be responsible for designing, building, and testing products while mentoring others to implement maintainable code and defining standard methodologies for data science applications. Your daily work involves developing strategies for data extraction, ensuring data quality through complex modeling, and identifying trends across diverse sources to plan platform-wide updates. To succeed, you must leverage expertise in Hadoop, Hive, Kafka, Redis, NoSQL, RDBMS, Spark, Flink, and MapReduce. You will also design and maintain ETL pipelines while building AI and machine learning models for predictive analytics to improve delivery efficiency and drive new revenue opportunities within the global payments infrastructure.

What you'll do

  • Mentor team members to implement extensible, maintainable, and reusable code for AI and data science applications.
  • Define technical frameworks, coding patterns, and standard methodologies while ensuring compliance with security requirements.
  • Develop strategies for data extraction, wrangling, complex modeling, and artificial intelligence to improve data quality.
  • Advise on technical specifications and identify system dependencies during discussions with product owners and business partners.
  • Analyze complex trends across data sources to plan future platform updates and solution improvements.
  • Define roadmaps for software upgrades and server patches to address security remediation needs.
  • Lead the development of AI/ML powered models to drive revenue and improve delivery efficiency.

What we're looking for

  • 10 years of experience with a Bachelor’s Degree, or 8 years with an Advanced Degree, or 3 years with a PhD.
  • Experience with a Bachelor’s Degree, with an Advanced Degree, or with a PhD (preferred).
  • Three years of experience building AI/ML powered models for predictive analytics and insights (preferred).
  • Four years of experience solving data problems using technologies like Hadoop, Hive, Kafka, Redis, NoSQL, and RDBMS (preferred).
  • Two years of experience designing, implementing, and maintaining ETL pipelines (preferred).
  • Three years of experience with data analysis, metrics building, and evaluation (preferred).
  • Experience with Big Data and Analytics leveraging technologies like Hadoop, Spark, Flink, and MapReduce (preferred).

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