Skip to content
NEXTMOVEFDE careers · United States

Director, Data Scientist - External Data Strategy

AI summary of the role

Lead the External Data Strategy team at Capital One, building data pipelines, analytics, and machine learning models to understand customers' financial lives.

What you’ll do

  • Partner with cross-functional teams of data scientists, software engineers, and product managers to deliver data and insights
  • Leverage Python, Conda, AWS, Databricks, Spark to reveal insights from huge volumes of data
  • Build machine learning models and data pipelines from design through implementation
  • Develop deep subject matter expertise in consumer financial data

What you’ll bring

  • Bachelor's in quantitative field + 9 years data analytics, or Master's + 7 years, or PhD + 4 years
  • At least 4 years experience with open source programming languages for large scale data analysis
  • At least 4 years experience working with machine learning
  • At least 4 years experience utilizing relational databases

Technologies

Python · Spark · SQL · Databricks · AWS · Conda · machine learning · relational databases

About Capital One

US consumer bank and largest credit card issuer; cloud-native operator running credit cards, auto loans, retail banking, and now the Discover network on AWS.

Public · 5000+ people

Source and classification

Internal deployment & tooling · Evidence for this classification:

Director, Data Scientist - External Data Strategy Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. The External Data Strategy team builds the data pipelines, advanced
More from the job description

Director, Data Scientist - External Data Strategy Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. The External Data Strategy team builds the data pipelines, advanced analytics, and models that enable Capital One to understand our customer’s financial lives. We lead the full data lifecycle from sourcing new data, designing and implementing features pipelines, to providing support to our data users across the business. We leverage Python, Spark, SQL, Databricks, and other AWS capabilities to deliver powerful data for our customers. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver data [... source excerpt omitted ...] luation, validation, and implementation Develop deep subject matter expertise in consumer financial data and how that data enables Capital One to make the right decisions for our customers. Lead a team of 10-15 data scientists as a leader-of-leaders by setting a strategic agenda, providing technical oversight and guidance, and developing talented individual contributors and managers. Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the righ [... source excerpt omitted ...] You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date : A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 9 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathemat

How jobs are selected

Employer postings · Data from · Sources