Senior Manager, Data Science

Visa

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Foster City, CA
Salary
$180,600–$289,300 / yr
Posted
44 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $191k
This role $235k
$124k most similar roles pay here $307k

This role pays more than 82% of similar roles. Most pay $162,000–$220,100 — the shaded band above. At the midpoint, this role pays about $235k versus about $191k 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 97 open roles on FindRole.

Listed pay typically runs $146,200–$233,700 across 96 roles with salary data.

Most-posted roles

View all roles at Visa

At a glance

TL;DR · Senior Manager, Data Science

Senior Manager, Data Science joins the Post Purchase Platform team to drive innovation in the payment landscape through artificial intelligence. This role involves designing, building, and testing products that manage network-level disputes and chargebacks while ensuring operational excellence across global systems. The manager will implement and maintain production machine learning, NLP models, and Gen AI products while overseeing data wrangling, LLM feature extraction, and model retuning. Key responsibilities include identifying complex trends, developing technical specifications with cross-functional teams, and creating visualizations to communicate complex analyses. The candidate must be proficient in Python, SQL, Hadoop, Hive, NoSQL, and Tableau or Power BI. They will also build agentic workflows and utilize XGBoost and Neural Network models to solve high-volume transaction data problems within the payment and post-purchase domain.

What you'll do

  • Implement, monitor, and maintain a suite of production machine learning, NLP models, and Gen AI products.
  • Develop strategies and tools for data extraction, model retuning, and ensuring data quality using LLMs.
  • Ensure all products adhere to corporate standards for model review management, governance, and data integrity.
  • Advise on technical specifications and identify system dependencies during discussions with cross-functional teams.
  • Identify complex trends across data sources to plan future platform-wide solution updates.
  • Build and maintain SQL-based dashboards and visualizations to communicate complex analyses to a broad audience.
  • Provide ad-hoc data analysis and conduct studies for account management and business development teams.
  • Lead and influence multiple teams by matching them with appropriate technologies and business problems.

What we're looking for

  • Bachelor's degree with 8+ years of experience, Master's with 5+ years, or PhD with 2+ years of experience.
  • 11+ years of relevant work experience is an acceptable alternative to the education requirements.
  • Expert proficiency in Python.
  • Four years of experience designing, building, and fine-tuning ML/AI models such as XGBoost, NLP, or Neural Networks.
  • Four years of experience solving data problems using technologies like SQL, Hadoop, Hive, or NoSQL.
  • One year of experience using LLMs for feature extraction from textual data.
  • One year of experience building dashboards with Tableau or Power BI.
  • Experience building agentic workflows (preferred).

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