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Principal Associate, Data Scientist

McLean, VA, USA | Capital One

  • Industry:
    Financial Services
  • Position Type:
    Full-Time
  • Functions:
    IT / Information Technology
    Biotech/R&D/Science
  • Experience:
    5-7 years
Job Description:
51 people have viewed this job

The Bank Data Science team has a relentless focus on the craft of data sciences and innovation with a target towards continually identifying fraud attacks and improving customer experience. Using the latest in machine learning and distributed computing technologies, you will be building next generation of data products to enable automation and aim for the right decision at the right time for in-moment decisioning.

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:

Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers.

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.

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.

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 phase 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:

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


 


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