Capital One Principal Data Scientist - AI Training Team 

United States, Virginia, Arlington 

237893673

In this role, you will:

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

• Leverage a broad stack of technologies — Python, PyTorch, AWS, Hugging Face, LangChain, GitHub, and more — to reveal the insights hidden within huge volumes of numeric and textual data

• 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.

• Technical. You’re comfortable with open-source languages and are passionate about developing further. You have experience building large deep learning models - whether on language, images, events, or graphs.

• Statistically-minded.You’ve built models, benchmarked them, and deployed them. You know how to think probabilistically, design experiments, and to interpret automated metrics like Rouge or Bleu.

• A data guru. “Big data” doesn’t faze you and you love data-centric methods. You have the skills to retrieve, combine, clean, filter, annotate, 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 a Bachelor’s Degree plus 5 years of experience in data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus 3 years in data analytics, or currently has, or is in the process of obtaining PhD, with an expectation that required degree will be obtained on or before the scheduled start date

• 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

Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

New York City (Hybrid On-Site):
$165,100 - $188,500 for Princ Associate, Data Science

San Jose, California (Hybrid On-site):
$174,900 - $199,700 for Princ Associate, Data Science

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan."