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Capital One Manager Data Science - Fraud Deep Learning 
United States, New York, New York 
778914325

26.06.2024
11 West 19th Street (22008), United States of America, New York, New York Manager, Data Science - Fraud, Deep Learning


In this role, you will:

  • Utilize Deep Learning and Sequence Modelling techniques to build Fraud models

  • 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, Pytorch, Tensorflow 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.

  • 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 a Bachelor’s Degree plus 6 years of experience in data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus 4 years of experience in data analytics, or currently has, or is in the process of obtaining PhD plus 1 year of experience in data analytics, with an expectation that required degree will be obtained on or before the scheduled start date

  • At least 2 years’ experience in open source programming languages for large scale data analysis

  • At least 2 years’ experience with machine learning

  • At least 2 years’ experience with relational databases

Preferred Qualifications:

  • At least 1 year of experience working with AWS

  • At least 2 years’ experience building advanced Deep Learning architectures (for example: RNN’s, CNN’s, Transformers)

  • At least 2 years’ experience with Pytorch, Tensorflow or other Deep Learning frameworks

  • At least 4 years’ experience in Python, Scala, or R for large scale data analysis

  • At least 4 years’ experience with machine learning

  • At least 4 years’ experience with SQL

New York City (Hybrid On-Site): $201,400 - $229,900 for Mgr, Data ScienceThis 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.