Manager, Data Science

Capital One Financial

Actively hiring
Plano, Tx, US Posted 55 days ago
View original post Log in to save

At a glance

AI generated

TL;DR

The Manager, Data Science role at Capital One Services in Plano, Texas involves leading a cross-functional team to develop data-driven solutions that enhance customer experience. This senior position requires translating complex analytical work into actionable business strategies and collaborating with data scientists, software engineers, and product managers to deliver impactful products. Ideal candidates will have extensive experience in large-scale data analysis using open-source programming languages, machine learning techniques, and relational databases. With a background in Statistics, Economics, Computer Science, or related quantitative fields, the successful applicant will bring expertise in leveraging advanced analytics to solve business challenges at scale.

Skills

Python SQL R machine learning data analytics relational databases CI/CD

What you'll do

  • Lead a team of data scientists and engineers to develop customer-centric products.
  • Translate complex analytical work into clear business objectives and strategies.
  • Utilize open-source programming languages for large-scale data analysis tasks.
  • Apply machine learning techniques to solve business problems effectively.
  • Work with relational databases to extract valuable insights and drive decisions.

What we're looking for

  • Bachelor's degree in a quantitative field and 6 years of data analytics experience required.
  • Master's degree in a quantitative field and 4 years of relevant experience accepted.
  • PhD in a quantitative field with 1 year of experience acceptable.
  • Experience leveraging open-source languages for large-scale data analysis needed.
  • Must have worked with machine learning techniques.
  • Utilization of relational databases is essential.

Market check

Salary context

This listing doesn't show a salary. Similar roles on FindRole typically pay $110,000–$225,000.

Peer median band

$110,000–$225,000

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$135,000–$211,200

Middle half of comparable postings.

Based on 239 comparable postings.

* 240 is the maximum number of comparable postings sampled.

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 489 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 483 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

More like this

Similar roles

Data Scientist Manager

Genworth Financial

Remote (US) 65 days ago $115,900–$115,900
Python Pandas Scikit-Learn Apache Spark PySpark SQL Hive XGBoost Logistic Regression Time Series Forecasting Optimization Machine Learning GLMs MLOps ETL Data Engineering RDBMS SQL Server Oracle Greenplum Hadoop Databricks AWS
Remote

Senior Manager, Data Science

Walmart

(Usa) San Bruno - 850 Cherry Ca San Bruno Home Office, US 10 days ago $143,000–$286,000
Python R SQL Java C++ Terraform AWS Kubernetes Docker CI/CD PostgreSQL NoSQL Tableau PowerBI Prometheus Grafana Git Jenkins Scikit-learn TensorFlow PyTorch

Data Science Manager, Growth

Stripe

US 35 days ago $210,900–$316,300
Python SQL R Hadoop Spark Kafka Docker AWS Google Cloud Platform Azure CI/CD Git Jupyter Notebook Scikit-learn TensorFlow PyTorch Prometheus Grafana Kubernetes

Senior Data Science Manager

Genworth Financial

Richmond, Virginia, US 17 days ago
Python SQL Azure Databricks version control CI/CD Prometheus Grafana PostgreSQL Kafka Spark Hadoop Git Jenkins Tableau PowerBI AXIS Linux AWS

Manager, Data Scientist - Bureau Data Strategy

Capital One Financial

Mclean, Va, US 21 days ago $197,300–$225,100
Python SQL Pandas NumPy Scikit-learn Spark Hadoop AWS Azure Git Jupyter Notebook CI/CD Docker Kubernetes