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Capital One Manager Data Science - Marketing Valuations 
United States, Virginia, Richmond 
667224673

20.11.2024
West Creek 5 (12075), United States of America, Richmond, Virginia Manager, Data Science - Marketing and Valuations


In this role, you will:

  • Lead a team of data scientists in delivering advanced machine learning solutions that solve real, high impact business problems

  • Work closely with subject matter experts to deliver flexible, well managed models that perform well under a variety of economic conditions

  • Translate business goals into data science solutions and communicate with senior stakeholders

The Ideal Candidate is:

  • Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience with software engineering techniques and developing end to end model pipelines in Python.

  • You are experienced in various machine learning algorithms and predictive solutions

  • You are effective in communicating technical details to a variety of audiences

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 a 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:

  • PHD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics

  • At least 1 year of experience working with AWS

  • 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

  • Experience with Kubeflow Pipelines

  • Experience with XGBoost

. 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.