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Data Scientist, Small Business Card

Employer
Capital One
Location
McLean, Virginia
Closing date
Aug 7, 2021

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Job Details

Center 2 (19050), United States of America, McLean, Virginia

Data Scientist, Small Business Card

At Capital One, data is at the center of everything we do. When we launched 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.

Department Summary:

Have you ever wondered what the engines are that drive the underwriting decisions for a credit card application at Capital One? How about how much credit to give to an applicant? Or maybe how we grow the product with the customer? The answer is behavioral models. We use behavioral models to predict things like how much a customer may spend on our credit card, the likelihood the customer pays us back, which website experience has the best chance of converting a prospect into a customer, and much more!

In Small Business Card (SBC), we face the unique challenge of serving small businesses not just an individual consumer. Every day we put ourselves in the shoes of our small business owners to understand their needs and help them succeed. Like a start-up, this customer-first approach has powered tremendous growth, tripling the size of our business in the last 5 years. And we have no intention of stopping there, we see even more attractive opportunities on the horizon.

As a Data Scientist on the Behavioral Modeling team in Small Business Card, you will be a key contributor in developing state-of-the-art behavioral models for small businesses. You will use the latest technology in computing to build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation. You will partner with best-in-class data scientists, business analysts, software engineers, data engineers, and product managers to innovate solutions that ultimately impact the company's bottom line in a meaningful way. You will do it all in a collaborative environment that values your insight, encourages you to take on new responsibilities, promotes continuous learning, and rewards innovation.

In this role, you will:
  • Partner with a cross-functional team of data scientists, business analysts, software engineers, data engineers and product managers to deliver behavioral models critical to credit decisioning
  • Leverage a broad stack of technologies - Python, AWS, H2O, Spark, Dask, xgboost, and more - to reveal the insights hidden within huge volumes of numeric and textual data
  • Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
  • Flex your interpersonal skills to translate the complexity of your work into tangible business goals


The Ideal Candidate is:
  • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea.
  • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. Your passionate about talent development for your own team and beyond.
  • Results Oriented. You are able to balance the ideal solution with the urgency to deliver in-market results fast. You are able to identify key points of leverage that provide value to the organization, and design practical solutions to meet those needs.
  • Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
  • Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with regression and tree-based methods and deeply understand statistical concepts.
  • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.


Basic Qualifications:
  • Bachelor's Degree plus 5 years of experience in data analytics, or Master's Degree plus 3 years in data analytics, 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 in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics)
  • At least 1 year of experience working with AWS
  • At least 3 years' experience in Python, Scala, or R
  • At least 3 years' experience with machine learning
  • At least 3 years' experience with SQL


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

Company

We Don’t Only Think Big Things—At Capital One, We Do Big Things.

You’re dedicated to your career. You deserve professional satisfaction and personal fulfillment. You belong at Capital One.

Here, every day brings another chance to do impactful work that matters: helping millions of customers confidently manage their money, building stronger communities and delivering truly disruptive tech. You’ll give your all alongside some of the brightest, most resilient people in the industry—and in return, you’ll enjoy the growth opportunities, support, flexibility and benefits you need for an exhilarating life both on and off the job.

Be inspired. Be yourself. That’s #LifeAtCapitalOne.

Creating a Culture of Belonging

At Capital One, we value diversity, inclusion and belonging at our core. We’re building a place of belonging—where everyone can feel seen, heard, valued and free to be their authentic selves. We want to be a place of opportunity—where associates from all backgrounds innovate for our customers and communities, and build meaningful, fulfilling careers.

We endeavor to be a welcoming and inspiring place for all. We seek and embrace diversity. And we’re committed to having a diverse and inclusive workforce, focused on increasing the representation of underrepresented groups, strengthening our culture of inclusion and belonging and harnessing our scale to invest in our communities.

We’re focused on three core principles to advance diversity, inclusion and belonging across Capital One:

Create a culture of belonging where everyone can thrive and innovate

Attract and develop talent from all backgrounds and experiences

Ensure our systems and programs promote fairness and equity

Get a career with more at Capital One.  Discover it for yourself today.

Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, sexual orientation, gender identity, protected veteran status, disability or other protected status.

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