Staff Data Scientist

Visa

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Bellevue, WA
Salary
$145,300–$232,700 / yr
Posted
106 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $180k
This role $189k
$109k most similar roles pay here $246k

This role pays more than 62% of similar roles. Most pay $139,375–$220,000 — the shaded band above. At the midpoint, this role pays about $189k versus about $180k 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 95 open roles on FindRole.

Listed pay typically runs $149,200–$238,700 across 90 roles with salary data.

Most-posted roles

View all roles at Visa

At a glance

TL;DR · Staff Data Scientist

Staff Data Scientist The Staff Data Scientist joins the Post Purchase organization to lead high-impact machine learning initiatives focused on building AI-driven decision intelligence for dispute resolution and recovery products. This individual contributor role involves owning the end-to-end machine learning lifecycle, including problem framing, feature engineering, model development, deployment, and monitoring. The candidate will build and productionize scalable models using large-scale transaction and dispute datasets to improve automation, merchant matching, and recovery outcomes. Key responsibilities include designing GenAI and LLM-based solutions for workflow automation and decision support while mentoring junior team members. Required technical skills include proficiency in Python or R, SQL, and version control tools like git or GitHub. The role also requires experience with distributed data processing frameworks such as Hadoop, Hive, and Spark to solve complex problems within the payments and transaction-heavy domain.

What does a Data Scientist earn?

Median $162000 from 275 postings across 59 companies.

See salary data

What you'll do

  • Lead high-impact machine learning initiatives for dispute decisioning, merchant matching, and recovery prediction.
  • Manage the end-to-end ML lifecycle including problem framing, feature engineering, model development, deployment, and monitoring.
  • Build and productionize scalable models using large-scale transaction and dispute datasets.
  • Translate business needs into data-driven solutions by partnering with Product, Engineering, and Data Engineering teams.
  • Design and implement GenAI/LLM-based solutions for explainability, workflow automation, and decision support.
  • Develop experimentation frameworks to evaluate and continuously improve model performance.
  • Influence product strategy by identifying opportunities to improve automation, efficiency, and customer outcomes.
  • Mentor junior team members and contribute to best practices across the data science organization.

What we're looking for

  • 5+ years of experience with a Bachelor’s degree, 2+ years with an Advanced degree, or 0 years with a PhD.
  • 8+ years of relevant work experience is also accepted as a qualification.
  • Experience with digital fluency and emerging technologies like Generative AI tools.
  • Advanced degree in AI, Computer Science, Statistics, Operations Research, or a related quantitative field (preferred).
  • Proven track record of commercializing analytical or ML solutions in production environments (preferred).
  • Proficiency in programming languages such as Python or R, along with SQL (preferred).
  • Experience with distributed data processing frameworks like Hadoop, Hive, or Spark (preferred).
  • Experience in payments, fraud, risk, disputes, fintech, or transaction-heavy domains (preferred).

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