Partner with a cross-functional teamof data scientists, software engineers, and business leaders to develop insights that drive community investments and financial well-being.
Leverage a broad stack of technologies—Python, R, Conda, AWS, H2O, Spark, and more—to collect, clean, and analyze data from diverse sources.
Develop and validate causal inference modelsto assess the social impact of internal community initiatives and relevant public programs.
Solve data challenges creativelyby sourcing and integrating alternative datasets, including government reports, survey data, and financial transaction data.
Translate complex findingsinto clear, actionable recommendations for internal stakeholders and external partners.
Mission-Driven.You’re passionate about leveraging data to make a positive social impact and believe in using insights to drive better decision-making.
Innovative.You stay on top of the latest research in causal inference, machine learning, and data collection methodologies—and love applying them to real-world problems.
Creative.You thrive in ambiguity, enjoy tackling undefined problems, and love finding novel data sources to enrich analysis.
Statistically-Minded.You have experience withcausal inference methods(RCTs, regression discontinuity, propensity score matching, difference-in-differences) and know how to interpret results from statistical models.
Technical.You’re proficient inR and Pythonand comfortable working with large-scale datasets incloud environmentslike AWS.
A Data Guru.You know that great data science starts with understanding the data. You have experience retrieving, combining, and analyzing structured and unstructured data from various sources.
Bachelor’s Degree plus5 years of experiencein data analytics, or Master’s Degree plus3 yearsin data analytics, or PhD in a quantitative field
At least 1 year of experiencein open-source programming languages for large-scale data analysis
At least 1 year of experiencewith machine learning
At least 1 year of experiencewith research or data analysis
At least 1 year of experiencewith relational databases
Master’s Degree in aSTEM field(Science, Technology, Engineering, Mathematics) plus3 yearsof experience in data analytics, or PhD in STEM
At least 1 year of experienceworking with AWS
At least 3 yearsof experience inR, Python, or Scala
At least 3 yearsof experience with machine learning
At least 3 yearsof experience with SQL
. 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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