Data Visualization Engineer – Machine Learning focus, DC area or NYC

At Capital One, we’re building a leading information-based technology company. Still founder-led by Chairman and CEO 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.

Data Visualization Engineer – Machine Learning focus
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’re looking for engineers to help build this new practice within our Design organization. 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.

WHY WE CARE

  • Because we’re aiming to Change Banking for Good, which means being brave enough to change how people interact with us AND their money, for the better
  • Because we want to know things that’ll enable us to make strategic decisions with the greatest degree of confidence, driven by real-time data
  • Because insights should be accessible to us, both as employees of Capital One, and as customers who are trying to make sense of their money

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
  • Is outcome-focused and has an exceptional track record to prove 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 ML 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.

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.

Basic Qualifications:

  • Bachelor’s degree in Computer Science or related field
  • At least 3 years of experience engineering data visualizations and interactive experiences
  • At least 3 years experience building data visualizations using 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

INTERESTED?
Let’s talk – everything you’ve just read is intended to be a jumping-off point for our conversation. So if you’re intrigued and would like to learn more, please email kim.rees@capitalone.com about what’s particularly interesting to you about this opportunity.

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Data Visualization Designer, DC Area

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’re looking for a designer to help build this new practice, which partners with Tech and Product to create ultra-powerful, ultra-helpful experiences for internal teams and customers, alike.

WHY WE  CARE

  • Because we’re aiming to Change Banking for Good, which means being brave enough to change how people interact with us AND their money, for the better
  • Because we want to know things that’ll enable us to make strategic decisions with the greatest degree of confidence, driven by real-time data
  • Because insights should be accessible to us, both as employees of Capital One, and as customers who are trying to make sense of their money

WHO ARE YOU? LIKELY SOMEONE WHO…

  • Is deeply creative and driven by playfulness, wonder, and a thirst for understanding
  • Is a problem solver with a knack for uncovering elegant solutions
  • Is a confident person who’s humble and never pretends to be someone you’re not
  • Enjoys fully immersing yourself in data, business constraints, and customer problems you’re interpreting.
  • Asks questions to get at the deeper-level “why” because you prioritize relevance and meaning over the artifact or visualization itself
  • Is outcome-focused and have an exceptional track record to prove it

HERE’S WHAT YOU CAN EXPECT IN THIS ROLE
As a Capital One Data Visualization Designer, you may work on everything from customer-facing interfaces, physical installations, and internal tools. Here’s what you’ll be doing:

Design
You’ll spend the majority of your time exploring the shape of data visually. Tools like Illustrator, Photoshop, and Tableau are extremely familiar to you. You also like to dabble with specialized tools such as Gephi, RAW, and Plot.ly. Your sketchbook is your constant companion. You’re passionate about layout, typography, and color and have the expertise and awareness to defend your design choices. You recognize that data visualization design optimizes for comprehension, engagement, and contextualization, and you’ve done your research on perception and cognition.

Build
You love to show your work in context so tools like Sketch, Balsamiq, and/or Axure are in your toolbox. You like to test out ideas with quick prototypes. For the finished product, and working closely with engineers, you’ll apply your designs primarily through CSS which you know inside out and backwards. While you’re not a developer, you have a strong opinion of pacing, transitions, and overall experience of the finished product and you’re comfortable jumping into code to visually refine it.

Collaborate
You’ll work closely with Data Scientists, UI/UX Designers, and Data Visualization Engineers. These roles will sometimes overlap a bit, and you’re comfortable adjusting your expectations to facilitate the group effort. You’ll work under the guidance of the Creative Director and are at ease communicating your ideas and thrive on collaborating creatively.

Learn
Passion for your craft drives you to stay on top of the latest developments in the field. You’re comfortable reaching out to experts and your peers alike to facilitate your understanding of techniques and tools.

Share
Your participation in external and internal communities alike is expected and encouraged.

INTERESTED?
Let’s talk everything you’ve just read is intended to be a jumping-off point for our conversation. So if you’re intrigued and would like to learn more, please email kim.rees@capitalone.com about what’s particularly interesting to you about this opportunity.

Data Visualization Engineer, DC area or NYC

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’re looking for engineers to help build this new practice within our Design organization, which partners with Tech and Product to create ultra-powerful, ultra-helpful experiences for internal teams and customers, alike.

WHY WE CARE

  • Because we’re aiming to Change Banking for Good, which means being brave enough to change how people interact with us AND their money, for the better
  • Because we want to know things that’ll enable us to make strategic decisions with the greatest degree of confidence, driven by real-time data
  • Because insights should be accessible to us, both as employees of Capital One, and as customers who are trying to make sense of their money

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
  • Is a confident person who’s humble and never pretends to be someone you’re not
  • Enjoys fully immersing yourself in the data sets, business constraints, and customer problems you’re interpreting.
  • Asks questions to get at the deeper-level “why” because you prioritize relevance and meaning over the artifact or visualization itself
  • Is outcome-focused and have an exceptional track record to prove it

HERE’S WHAT YOU CAN EXPECT IN THIS ROLE
As a Capital One Data Visualization Engineer, you may work on everything from customer-facing interfaces, physical installations, internal tools and platforms, and libraries. Here’s what you’ll be doing:

Seek:  You will sit with product owners and users 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.

Assess:  For a given problem space, you will assess whether data visualization is an appropriate solution and to what degree. You recognize that data visualization isn’t the only tool in the toolbox and will advise if the project isn’t a good candidate for the team’s expertise.

Design:  You’ll spend the majority of your time finding the shape of data. This entails immersing yourself in the data and exploring the data using tools such as Tableau, Processing, R, D3, RAW, Gephi, and others. 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. Because your mind is finely tuned to envisioning the form of the data, you’ll find most of your solutions come to life on paper.

Build:  You’ll bring solid experience in technologies such as: node.js, Javascript, D3, AngularJS, React, Python, R, REST, JSON, SQL, HTML / HTML5, CSS, NoSQL databases, relational databases, Hadoop, and AWS/Cloud Infrastructure 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.

Collaborate:  You’ll work closely with Data Scientists, Data Engineers, UI/UX and Visual Designers, and Software Engineers. These roles will sometimes overlap a bit, and you’re comfortable adjusting your expectations to facilitate the group effort.

Improve Insatiably:  You will continuously find and assess emerging technologies, libraries, and tools. You strive to improve your work and workflow and constantly look for tools and processes that will make you more efficient, nimble, and help bring to life your nuanced solutions.

Learn:  >Passion for your craft drives you to stay on top of the latest developments in the field. You’re comfortable reaching out to experts and your peers alike to facilitate your understanding of techniques and tools.

Share:  You’ll look for opportunities to create open source libraries, tools, and frameworks. You’ll build a culture of sharing in your team. Your participation in external and internal communities alike is expected and encouraged.

INTERESTED?
Let’s talk – everything you’ve just read is intended to be a jumping-off point for our conversation. So if you’re intrigued and would like to learn more, please email kim.rees@capitalone.com about what’s particularly interesting to you about this opportunity.