Senior Associate, Data Science

201 Third Street (61049), United States of America, San Francisco, California

At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding.

Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.

Senior Associate, Data Science

The Capital One Technology team is looking for a Data Scientist to support our Program Management efforts with an initial focus on big data analysis within the context of Automation. This group sits within a predominantly "Horizon 2" focused broader team at Capital One. This role provides software development, algorithm development, and big data analytics that guide strategic business decisions for our customers, helping them use data effectively.

Capital One values complete collaboration with Product Management. As part of your role, you will be relied on for guidance and leadership on our overall program as well as our Product Road Map and prioritization of our associated sprint tasks. This is a team environment.

You will work with product owners to understand desired application capabilities and testing scenarios and continuously improve software engineering practices. You should be comfortable working in a near-start-up environment, preferably having done this before. As a self-starter, you should be comfortable working in a selfless team environment and have an appreciation for diversity of thought, action and team complexion. As a shared-tech team, we regularly work with other lines of business, so you will be expected to develop healthy relationships with other teams.

Technically, you have architected scalable systems and processes and can look at existing processes with a critical eye. You have experience with optimization and performance, integrating with APIs for various Big Data cloud services of different subsystems, and analyzing large segments of search data.

Responsibilities:

-Implement, refine and validate machine learning algorithms for products and applications

-Using Big Data tools (Hadoop, Spark, H2O, AWS) to conduct the analysis of billions of customer transaction records.

-Writing software to clean and investigate large, messy data sets of numerical and textural data

-Integrating with external data sources and APIs to discover interesting trends

-Designing data visualizations to communicate complex data simulations to key company stake holders and customers

-Designs and develops data pipelines consisting of data ingest, data validation, data cleaning, and data monitoring

-Develop new processes/tasks/objects using core workflow principles that are efficient, well structured, maintainable and easy to understand

-Set and enforce coding standards

-Direct efforts to define technical requirements

-Take responsibility for project activities including work estimation, planning, and stakeholder management, while pushing for project quality.

-Implement new scientific analysis and methodologies to support big data analytics efforts and stay current with evolving technologies and capabilities.

Position Provides Exposure to:

-Front End Skills: Java Script (jQuery, dojo)/CSS/HTML, Python Bokeh

-Back End Skills: Micro-services, REST, Python, NodeJS, Database (MongoDB, Cassandra, Postrgres, etc)

-DevOps/Platforms: Amazon Web Service (S3, RDS, EC2, Lambda, SQS, SNS, DynamoDB, CloudFormation, etc), Chef, Docker, Ansible

-Build/SCM Tools: Maven, Gradle, Git, PyBuilder

-DB/Data Platforms: Kafka, Storm, MongoDB, Hadoop, Spring XD/Spring Batch

-Data Science Platforms: Machine Learning applications to solve real-world problems

-Deployment Frameworks: Kubernetes

Basic Qualifications:

-Bachelor's Degree plus 2 years of experience in data analytics, or Master's Degree, or PhD

-At least 1 year of experience in open source programming languages for large scale data analysis

-At least 1 year of experience with machine learning

-At least 1 year of experience with relational databases

Preferred Qualifications:

-Master's Degree or PhD in a "STEM" major (Science, Technology, Engineering, or Math)

-At least 1 year of experience working with AWS, Azure, or similar cloud platform
-At least 3 years' experience in Python, Scala, or R
-At least 3 years' experience developing data science solutions leveraging one of more of the following: operations research, natural language processing, machine learning, deep learning, video/image analysis or time-series analysis

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


Meet Some of Capital One's Employees

Ryan P.

Head Of Design

Ryan and his team of designers and developers work at The Shop, a combined technology workshop and retail hub, to create meaningful financial products and services.

Al L.

Technology Recruiting Manager

Al leads a team of recruiters that support technology growth across the company. He focuses on bringing in top technology talent that can impact an industry ripe for change.


Back to top