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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
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."
. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
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