Senior Associate, Data Scientist - Capital One Personal Loan

ITSMF; McLean (VA); On-site; USD 136,000 - 155,000; Full time

Job summary

Capital One in McLean, VA seeks a Senior Associate Data Scientist for Personal Lending. You will partner with cross-functional teams to build models that optimize loan acquisition, pricing, and risk using Python, Spark, and AWS across billions of records.

The ideal candidate will have a quantitative degree with experience in machine learning, SQL, and open-source tools, and a track record of delivering end-to-end models from data exploration to deployment.

Qualifications

• Bachelor's Degree in a quantitative field plus 2 years of data analytics experience.
• Master's Degree in a quantitative field or MBA with a quantitative concentration.

Responsibilities

• Partner with cross-functional teams to deliver data products customers love.
• Leverage Python, Conda, AWS, H2O, Spark to reveal insights from large datasets.
• Build machine learning models from design to training, evaluation, and implementation.
• Translate complex analyses into tangible business goals.

Skills

Python

AWS

Spark

SQL

R

Scala

Machine Learning

Conda

Education

Bachelor's Degree in a quantitative field

Master's Degree in a quantitative field or MBA with a quantitative concentration

Tools

H2O

Conda

Job description

Senior Associate, Data Scientist - Capital One Personal Loan

Data is at the center of everything we do. 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.

As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.

Team Description

The Personal Loan Acquisition modeling team builds the machine learning models that help our customers access the right loan products at the best possible rates to achieve their financial goals. We do predictive TDR and non-TDR models for acquisition processes including list selection, campaign & channel optimization, underwriting, pricing and verification, etc. using tech stacks Python, Spark, and AWS.

Role Description

In this role, you will:

• Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love


• Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, 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:

• 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.


• 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.


• 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 clustering, classification, sentiment analysis, time series, and deep learning.


• A data guru. 'Big data' doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.

Basic Qualifications:

• Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
  
  
  • A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics
  
  
  • A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration
  
  

Preferred Qualifications:

• Master’s Degree in 'STEM' field (Science, Technology, Engineering, or Mathematics), or PhD in 'STEM' field (Science, Technology, Engineering, or Mathematics)


• Experience working with AWS


• At least 2 years’ experience in Python, Scala, or R


• At least 2 years’ experience with machine learning marketing or risk modeling


• At least 2 years’ experience with SQL

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

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Chicago, IL: $123,300 - $140,700 for Sr Assoc, Data Science McLean, VA: $135,600 - $154,800 for Sr Assoc, Data Science New York, NY: $148,000 - $168,900 for Sr Assoc, Data Science Richmond, VA: $123,