トレンド企業

Visa
Visa

Global payments technology company connecting the world

Staff Applied Scientist

職種データサイエンス
経験Staff+
勤務地Bellevue, WA, United States
勤務オンサイト
雇用正社員
掲載2ヶ月前

報酬

$145,300 - $232,700

応募する

福利厚生

健康保険

401k

ストックオプション

無制限休暇

必須スキル

Python

SQL

Company Description

Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.

At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters — to you, to your community, and to the world.

Progress starts with you.

Job Description

We are seeking a highly technical and hands-on Staff Applied Scientist to contribute to the development of AI-driven data products across the Visa Acceptance Platform. In this role, you will work closely with engineering, product, and architecture partners to design, build, and deploy machine learning solutions that operate at global scale.

This is an execution-focused role for an experienced data scientist who thrives in production environments and enjoys solving complex data and modeling problems that directly impact customers.

What You Will Do (Essential Functions)

  • Design, develop, and deploy machine learning models and data solutions that support analytics, predictive insights, and AI-powered platform features.
  • Perform data exploration, feature engineering, modeling, and validation using large, complex datasets.
  • Build, maintain, and improve data pipelines and model workflows in partnership with engineering teams.
  • Apply appropriate metrics and evaluation techniques to measure model performance, reliability, and business impact.
  • Collaborate with Product, Engineering, and Security partners to translate business requirements into scalable and secure data science solutions.
  • Contribute to platform modernization efforts by improving data quality, performance, reliability, and observability.
  • Support operational readiness through monitoring, troubleshooting, and continuous improvement of deployed models.

This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager.

Qualifications

Basic Qualifications:

  • 5 or more years of relevant work experience with a Bachelors 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

Preferred Qualifications:

  • 6 or more years of work experience with a Bachelors Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD
  • 2+ years of experience building and deploying AI/ML models for analytics, predictions, or recommendations in production environments.
  • 3+ years of experience working with large-scale data technologies such as Spark, Kafka, Hadoop, Hive, NoSQL, or relational databases.
  • 2+ years of experience designing and maintaining ETL or data pipelines.
  • Experience working with big data, distributed systems, and batch or streaming data processing.
  • Strong understanding of metrics design, experimentation, and model evaluation techniques.
  • Proficiency in Python and SQL; experience with modern ML frameworks is a plus.

Additional Information

Work Hours: Varies upon the needs of the department.

Travel Requirements: This position requires travel 5-10% of the time.

Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.

U.S. APPLICANTS ONLY: The estimated salary range for this position is 145,300.00 to 232,700.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

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Visaについて

Visa

Visa

Public

Visa Inc. is an American multinational payment card services corporation headquartered in San Francisco, California. It facilitates electronic funds transfers throughout the world, most commonly through Visa-branded credit cards, debit cards and prepaid cards.

10,001+

従業員数

Foster City

本社所在地

$500B

企業価値

レビュー

10件のレビュー

3.7

10件のレビュー

ワークライフバランス

3.2

報酬

4.2

企業文化

4.1

キャリア

4.0

経営陣

3.8

72%

知人への推奨率

良い点

Good benefits and high compensation

Learning opportunities and growth

Supportive management and team culture

改善点

Fast-paced and demanding environment

Slow decision-making and approvals

Long internal processes

給与レンジ

28件のデータ

Mid/L4

Mid/L4 · BUSINESS INTELLIGENCE ANALYST

1件のレポート

$136,407

年収総額

基本給

$104,929

ストック

-

ボーナス

-

$136,407

$136,407

面接レビュー

レビュー4件

難易度

3.3

/ 5

期間

14-28週間

体験

ポジティブ 0%

普通 75%

ネガティブ 25%

面接プロセス

1

Application Review

2

Online Assessment

3

Phone Screen

4

Technical Interview Rounds

5

Final Round Interview

6

Offer

よくある質問

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design