Principal Data Scientist - Banking Payments

Capital One Financial

Quick summary

Work type
On-site
Location
McLean, VA · Richmond, VA
Salary
$161,800–$184,600 / yr
Posted
31 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $171k
This role $173k
$116k most similar roles pay here $231k

This role pays more than 56% of similar roles. Most pay $126,800–$214,500 — the shaded band above. At the midpoint, this role pays about $173k versus about $171k for comparable roles.

Based on 240 similar postings.

Employer

About Capital One Financial

Capital One Financial is a bank holding company specializing in credit cards, auto loans, banking, and savings products, known for its data-driven approach to consumer and commercial finance. Industry: Financial Services & Banking

Capital One Financial currently has 498 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 495 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Principal Data Scientist - Banking Payments

The Principal Data Scientist role within the Bank Operations Data Science team at the Payments Organization involves partnering with cross-functional teams to develop cutting-edge machine learning models that enhance core banking operations such as document reading, anomaly detection, and operational forecasting. Using technologies like Python, Snowflake, neural networks, and LLMs, this position focuses on streamlining payment channels by ingesting data, detecting anomalies, and implementing agentic processes for operational efficiency. Ideal candidates are innovative, creative, technically proficient, and statistically minded, with experience building both agentic systems and machine vision models to tackle complex business challenges in the financial sector.

What you'll do

  • Develop machine learning models to enhance check/document reading and anomaly identification.
  • Create natural language processing solutions for call analysis and operational forecasting.
  • Streamline payment/monetary transfer channels through ingestion, anomaly detection, and agentic processes.
  • Build innovative industry-leading models using neural networks, LLMs, and transformer architectures.
  • Work with Python and Snowflake to extract insights from large volumes of numeric and textual data.
  • Collaborate directly with the Enterprise Payments team to improve operational efficiency.

What we're looking for

  • At least one agentic system personally built.
  • At least one machine vision model personally built.
  • Experience with Python and Snowflake in data analysis.
  • Expertise in building innovative machine learning models.
  • Strong statistical skills and technical proficiency required.
  • Collaboration experience with cross-functional teams.
  • Focus on operational forecasting and anomaly detection.

More like this

Similar roles

Senior Associate, Data Scientist - Financial Services

Capital One Financial

Plano, TX 23 days ago $123,300$140,700
AWS Python R SQL Machine Learning Data Analysis Big Data CI/CD Docker Kubernetes Terraform PostgreSQL Spark Hadoop Git Jupyter Notebook Scikit-learn TensorFlow PyTorch