Senior Data Scientist, AI Solutions Engineering

Visa

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Austin, TX
Salary
$133,300–$213,400 / yr
Employment
Full-time
Posted
4 days ago
Freshness
Confirmed live today

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $172k
This role $173k
$107k most similar roles pay here $225k

This role pays more than 60% of similar roles. Most pay $131,430–$211,750 — the shaded band above. At the midpoint, this role pays about $173k versus about $172k 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 98 open roles on FindRole.

Listed pay typically runs $153,500–$245,900 across 94 roles with salary data.

Most-posted roles

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At a glance

TL;DR · Senior Data Scientist, AI Solutions Engineering

Senior Data Scientist, AI Solutions Engineering - Client Services joins the Client Services team as a technical force multiplier focused on driving data-driven decision making. The role involves designing and maintaining scalable data models, schema designs, and enrichment pipelines while developing advanced machine learning, deep learning, and generative models to solve business problems. You will build robust data infrastructure, create visualizations for complex insights, and manage end-to-end projects from scoping to delivery. Key technologies include Python, R, SQL, Spark, Airflow, dbt, Hadoop, Hive, Presto/Trino, TensorFlow, PyTorch, and scikit-learn, alongside cloud platforms like AWS, Azure, or Google Cloud. The role addresses the challenge of making data available from new sources and translating complex analytics into actionable recommendations for diverse audiences within the payments technology domain.

What does a Data Scientist earn?

Median $165000 from 287 postings across 61 companies.

See salary data

What you'll do

  • Design and maintain scalable data models, schema designs, and certified datasets for reporting and analytics.
  • Develop and implement advanced machine learning, deep learning, and generative AI models to solve business problems.
  • Build and optimize data enrichment pipelines using Spark, Python, SQL, Airflow, and dbt.
  • Manage end-to-end data science projects from initial scoping through to final delivery.
  • Translate complex analytics output into actionable recommendations for senior business audiences.
  • Create visualizations to communicate complex data insights clearly to diverse stakeholders.
  • Provide technical direction and leadership to data science teams to ensure high-quality project outcomes.
  • Manage large-scale datasets using distributed processing technologies like Hadoop, Hive, and Presto/Trino.

What we're looking for

  • A bachelor's degree with 5 years of experience, an advanced degree with 2 years of experience, a PhD, or 8 years of relevant work experience.
  • Hands-on expertise in data engineering and AI/ML solutions using large-scale datasets to build scalable models.
  • Proficiency in programming languages such as Python, R, and Spark.
  • Experience implementing data pipelines using frameworks like SQL, Airflow, dbt, and distributed processing technologies.
  • Ability to work with modern distributed systems including Hadoop, Hive, Presto/Trino, and cloud-native platforms (AWS, Azure, or GCP).
  • Ability to develop advanced models including deep learning, machine learning, recommendation systems, and generative AI tools.
  • Experience in managing data science projects from scoping to delivery while providing technical direction to teams (preferred).
  • Experience communicating complex technical concepts to business audiences and collaborating with cross-functional teams (preferred).

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