Senior Data Scientist

Visa

Hybrid

Quick summary

Work type: Hybrid
Location: Washington, DC
Salary: $170,872–$232,700 / yr
Posted: 104 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $162k

This role $202k

$95k most similar roles pay here $247k

This role pays more than 80% of similar roles. Most pay $126,800–$198,000 — the shaded band above. At the midpoint, this role pays about $202k versus about $162k 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 18 open roles on FindRole.

Listed pay typically runs $163,550–$198,600 across 17 roles with salary data.

Most-posted roles

View all roles at Visa

At a glance

TL;DR · Senior Data Scientist

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The Sr. Data Scientist role at Visa Inc.'s Washington, DC office involves designing and developing personalization models and large-scale data science systems to drive global AI product innovation. This senior-level position requires expertise in deep learning, machine learning, recommendation systems, and generative models, with a focus on applying advanced techniques to real-world datasets. Day-to-day responsibilities include fostering experimentation within the team, integrating data science capabilities across functions, and communicating complex technical insights to stakeholders. Candidates should be proficient in Python, Spark, Scikit-learn, TensorFlow, or PyTorch, and capable of working with large-scale data sets to build scalable models. The role demands a strong background in computer science, data analytics, operations research, or statistics, coupled with experience in data-driven business decision-making.

Skills

Python Spark Tensorflow PyTorch Scikit-learn Deep Learning Machine Learning Recommendation Systems Generative Models Statistical analyses CI/CD

What you'll do

Design and develop personalization models and signals for global AI products.
Execute data science capabilities in the personalization space using advanced techniques.
Develop large-scale data science systems for real-world applications.
Stay current with industry trends and emerging technologies in data science.
Communicate complex technical concepts to stakeholders and influence business decisions.

What we're looking for

5+ years of progressive experience in data science or related field.
Master’s degree in Computer Science, Data Analytics, Statistics, or equivalent.
Expertise in deep learning, machine learning, and recommendation systems.
Proficiency in Python, Spark, Scikit-learn, TensorFlow, and PyTorch.
Experience working with large-scale datasets to build scalable models.
Ability to communicate complex technical concepts to stakeholders effectively.
Collaborative skills for integrating data science capabilities across teams.

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