Director, Data Scientist - External Data Strategy

Hobbsnews; McLean (VA); On-site; USD 269,100 - 307,200; Full time

Benefits offered by this job

Performance-based incentive compensation

Comprehensive health benefits

Inclusive workplace

Flexible accommodation during application

Job summary

Hobbsnews is seeking a Director, Data Scientist for the External Data Strategy team in McLean, VA. This role focuses on building data pipelines and analytics solutions that improve customer understanding of their financial lives through large data volumes.

The ideal candidate will lead a team and have extensive experience in data analytics, machine learning, and programming technologies such as Python and Spark. Offering a competitive salary range of $269,100 - $307,200, the position is integral to driving the business through data insights.

Qualifications

• 9 years of data analytics experience if Bachelor's Degree.
• 7 years of data analytics experience if Master's Degree.
• 4 years of data analytics experience if PhD.

Responsibilities

• Partner with cross-functional teams to deliver data insights.
• Build machine learning models and data pipelines.
• Lead a team of data scientists in strategic agenda setting.

Skills

Data analytics

Machine learning

Python

AWS

Spark

Education

Bachelor's Degree in a quantitative field

Master's Degree in a quantitative field or MBA

PhD in a quantitative field

Tools

SQL

Databricks

Conda

Job description

Overview

Director, Data Scientist - External Data Strategy

Data is at the center of everything we do. The External Data Strategy team builds the data pipelines, analytics, and models that enable Capital One to understand our customers’ financial lives. We leverage Python, Spark, SQL, Databricks, and AWS capabilities to deliver powerful data for our customers.

In this role, you will be part of a team that operates across billions of customer records to unlock opportunities that help everyday people save money, time, and reduce pain in their financial lives.

In this role, you will:

• Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver data and insights that drive the business
• Leverage a broad stack of technologies — Python, Conda, AWS, Databricks, Spark, and more — to reveal insights within large data volumes
• Build machine learning models and data pipelines through all phases of development, from design through training, evaluation, 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
• Translate the complexity of your work into tangible business goals

The Ideal Candidate

• Customer first. You focus on making the right decision for customers
• A leader. You challenge conventional thinking and develop talent within and beyond your team
• Technical. You have hands-on experience with open-source tools and cloud computing platforms and develop data science solutions
• A data guru. You can retrieve, combine, and analyze data from a variety of sources and structures

Basic Qualifications

• Currently has, or is in the process of obtaining one of the following with the expectation that the degree will be obtained by the start date: a) A Bachelor's Degree in a quantitative field plus 9 years of data analytics experience; b) A Master's Degree in a quantitative field or MBA with a quantitative concentration plus 7 years of data analytics experience; c) A PhD in a quantitative field plus 4 years of data analytics experience
• At least 4 years of experience leveraging open source programming languages for large scale data analysis
• At least 4 years of experience working with machine learning
• At least 4 years of experience utilizing relational databases

Preferred Qualifications

• At least 3 years of experience working with AWS
• At least 3 years of experience managing people
• At least 5 years of experience in Python for large scale data analysis
• At least 5 years of experience with machine learning
• At least 5 years of experience with Spark

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

Compensation and Benefits

The minimum and maximum full-time annual salaries for this role are listed below, by location. Salaries for part-time roles will be prorated based on hours worked. This information is solely for candidates hired to work in listed locations.

McLean, VA: $269,100 - $307,200 for Dir, Data Science

New York, NY: $293,600 - $335,100 for Dir, Data Science

Candidates hired to work in other locations will be subject to the pay range for that location, and the actual salary will be in the offer letter.

This role is eligible to earn performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI).

About Capital One

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support total well-being. Eligibility varies based on full/part-time status, exempt/non-exempt status, and management level.

Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable laws. Capital One promotes a drug-free workplace and will consider qualified applicants with criminal histories in accordance with applicable laws.

If you require an accommodation during the application process, contact Capital One Recruiting at 1-800-304-9102 or via email at [e-mail]. All information provided will be confidential and used only to provide needed reasonable accommodations.

For questions about the recruiting process, please email [e-mail]. Capital One does not provide, endorse, guarantee, or warrant third-party products or services available through this site.

Location notice

Capital One Financial is made up of several entities. Positions posted in Canada are for Capital One Canada, in the United Kingdom for Capital One Europe, and in the Philippines for Capital One Philippines Service Corp. (COPSSC).