Build meaningful solutions as our ML Data Visualization Engineer at Capital One (3 positions!)

[youknow...@gmail.com]

Data Visualization makes data tangible for our company and customers, thereby empowering us all by transforming what’s unknown into something that’s known. We enable these outcomes by digging into data sets, large and small, to manifest it in enlightening, understandable ways to fuel decision-making. We partner with our Center for Machine Learning to find meaning and understanding in previously inaccessible areas. You can expect your work to be applied to the domains of cybersecurity, fraud, anti-money laundering, and explainable AI among others. These efforts are at the forefront of Capital One and drives our mission and strategy.

  

WHO ARE YOU? LIKELY SOMEONE WHO…

• Is deeply creative and driven by playfulness, wonder, and a thirst for understanding
• A problem solver with a knack for uncovering elegant solutions
• Asks questions to get at the deeper-level “why” because you prioritize relevance and meaning over the artifact or visualization itself
• Better understands a complex ML algorithm by visualizing it   

HERE'S WHAT YOU CAN EXPECT IN THIS ROLE

As a Capital One Data Visualization Engineer, you may work on internal and customer facing tools, platforms, and libraries. Here’s what you'll be doing:

Seek

You will sit with product owners and Machine Learning Engineers to discuss their problem space. Rather than take orders on what to build, you'll engage users in conversations to uncover how they do their work, what tools they use, how they understand their work, and how they currently solve their problems. You will work to explore pain points and areas for meaningful improvement.

Design

You'll spend the majority of your time finding the shape of data. This entails immersing yourself in and exploring the data. You'll rabidly pull apart and tease out the nuance of the data to understand the breadth, depth, extents, outliers, relationships, and other factors that reveal its structure as a whole. Your sketchbook is your constant companion. It picks up where your tools fail you.

-OR-

You'll partner with one of our Dataviz Designers to do the aforementioned.

  

Build

You'll bring solid experience in technologies such as: D3.js, WebGL, Processing, Three.js, Unity, and Python to name a few. Using these technologies and others, you'll construct meaningful, interactive, responsive, frictionless, and succinct visualizations for a variety of subject matters and domains.

Please visit https://capitalone.wd1.myworkdayjobs.com/Capital_One/job/New-York-NY/Data-Visualization-Engineer_R33177 to apply.

    

Basic Qualifications:

• Bachelor’s degree in Computer Science, or military experience
• At least 3 years of experience engineering data visualizations and interactive experiences
• At least 3 years experience building data visualizations using JS, D3, WebGL, Processing, Three.js, or Unity
• Conversational knowledge of ML, AI, and NLP methodologies and related Python libraries
• At least 1 year experience working on a cross-functional team

    

Preferred Qualifications: 

• Master’s degree in Data Visualization, Computer Science, or related field
• At least 1 year of full-stack web development experience using React, Node, AWS, and SQL
• Experience with Kafka or Spark
• Experience engineering NLP, AI, and ML models in Python

At this time, Capital One will not sponsor a new applicant for employment authorization for this position.