# Staff Data Scientist

**Company**: Visa
**Location**: Bellevue, WA
**Work arrangement**: hybrid
**Experience**: staff
**Job type**: full-time
**Salary**: $141,100.00 to $226,000.00 USD per year
**Category**: Data Science
**Industry**: Finance

**Apply**: https://visa.wd5.myworkdayjobs.com/en-US/Visa/job/US---Bellevue-WA/Staff-Data-Scientist_REF082941W?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/job/staff-data-scientist-c3cda41e-ba2/

## Description

Visa's Post Purchase organisation is building AI-driven decision intelligence across dispute resolution and recovery products. We're seeking a Staff Data Scientist to lead high-impact machine learning initiatives that improve automation, recovery outcomes, and client experience at global scale.

This is a Staff-level individual contributor role for someone who thrives in ambiguity, owns complex problem spaces, and drives solutions from concept through production with measurable business impact. You will work with large-scale transactions and dispute data to develop models that enhance decision quality and enable scalable, intelligent systems.

**Key Responsibilities**

- Define and lead high-impact ML initiatives across dispute decisioning, merchant matching, and recovery prediction

- Own 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

- Partner closely with Product, Engineering, and Data Engineering to translate business needs into data-driven solutions

- Drive adoption of ML solutions through explainability, performance measurement, and stakeholder alignment

- Develop experimentation frameworks to evaluate and continuously improve model performance

- Design and implement GenAI/LLM-based solutions for explainability, workflow automation, and decision support

- 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 organisation

**Work Environment** Visa requires employees to work in the office 3 days per week. Specific expectations will be confirmed by the Hiring Manager.

**Qualifications** **Basic Qualifications:**

- 5+ years of relevant work experience with a Bachelor’s Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience

- Experience with digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) to support everyday work

**Preferred Qualifications:**

- 6+ years of experience with a Bachelor’s degree or 4+ years with an Advanced degree or up to 3 years with a PhD

- Advanced degree (MS or PhD) in AI, Computer Science, Statistics, Operations Research, or a related quantitative field

- Experience applying data science or analytics solutions to solve complex business problems with measurable outcomes

- Proven track record of commercializing analytical or ML solutions in production environments

- Strong experience managing or leading end-to-end projects across cross-functional teams

- Agile experience and ability to manage evolving priorities in dynamic environments

- Experience working with large-scale datasets and building scalable models

- Experience with distributed data processing frameworks (e.g., Hadoop, Hive, Spark)

- Proficiency in programming languages such as Python or R, along with SQL

- Experience with version control tools such as git or GitHub

- Hands-on experience applying machine learning and predictive modeling techniques to business problems

- Experience in data science, data engineering, or analytics roles in large-scale environments

- Experience in payments, fraud, risk, disputes, fintech, or transaction-heavy domains

- Experience working in global organisations with distributed stakeholders

- Proven ability to lead projects, influence teams, and provide technical thought leadership

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## Skills

### Required
- Python
- R
- SQL
- Generative AI
- Machine Learning
- Data Science

### Nice to have
- Advanced degree in AI, Computer Science, Statistics, Operations Research
- Experience with distributed data processing frameworks
- Proficiency in programming languages
- Experience in data science, data engineering, or analytics roles

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Source: [Apply at visa.wd5.myworkdayjobs.com](https://visa.wd5.myworkdayjobs.com/en-US/Visa/job/US---Bellevue-WA/Staff-Data-Scientist_REF082941W?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)