
10,000+ employees
🏦 Banking
đź’ł Fintech
đź’¸ Finance
đź’° Post-IPO Equity on 2023-05
Banking • Fintech • Finance
Capital One is a leading financial services company that specializes in offering credit cards, auto loans, banking, and savings accounts. With a focus on innovation and technology, Capital One aims to change banking for good by providing customer-friendly solutions and fostering a diverse and inclusive workforce. The company is known for its commitment to creating a positive impact in the banking industry through advanced digital tools and customer service excellence.
🔥 0 minutes ago
🏄 California, New York, +2 more states – Remote
đź’µ $286.2k - $392k / year
⏰ Full Time
đźź Senior
📊 Data Scientist
🦅 H1B Visa Sponsor
đź‘» Ghost score 0%
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10,000+ employees
🏦 Banking
đź’ł Fintech
đź’¸ Finance
đź’° Post-IPO Equity on 2023-05
Banking • Fintech • Finance
Capital One is a leading financial services company that specializes in offering credit cards, auto loans, banking, and savings accounts. With a focus on innovation and technology, Capital One aims to change banking for good by providing customer-friendly solutions and fostering a diverse and inclusive workforce. The company is known for its commitment to creating a positive impact in the banking industry through advanced digital tools and customer service excellence.
• Partner with software engineers, distinguished researchers, and solutions architects to drive decisions through modeling • Define and drive an end state based on simplicity, digital technologies, cloud hosting, and open-source software • Distill complex interconnected modeling systems to influence senior business leaders on model strategy, business use, and risks • Assess, challenge, and defend state-of-the-art decision-making systems to internal and regulatory partners • Shape machine-learning model development from design through training, evaluation, validation, and implementation • Oversee benchmark and challenger model development to stress-test critical modeling decisions • Design AI/ML models and build solutions for agentic AI products • Design experiments and A/B tests, model telemetry, and turn results into AI strategy and guidance for C-suite leadership
• Bachelor's degree in a quantitative field plus 11 years of experience performing data analytics, or Master's degree/MBA with quantitative concentration plus 9 years, or PhD in a quantitative field plus 6 years • Currently has, or is in the process of obtaining, the required degree, with completion by the scheduled start date • At least 6 years of experience leveraging open-source programming languages for large-scale data analysis • At least 6 years of experience working with machine learning • At least 6 years of experience utilizing relational databases • Hands-on experience developing data science solutions using open-source tools and cloud computing platforms • Experience building, validating, and backtesting models • Experience with clustering, classification, sentiment analysis, time series, and deep learning • Preferred: PhD in STEM plus 5 years of experience in data analytics • Preferred: at least 6 years of experience in Python, Scala, or R for large-scale data analysis • Preferred: at least 6 years of experience with machine learning • Preferred: at least 2 years of experience with AWS • Preferred: at least 6 years of experience with complex architectural patterns (SOA), APIs, microservices, and event streams • Preferred: at least 6 years of experience with DevOps or DevSecOps and CI/CD tools including Jenkins, Artifactory, Chef, Ansible, AWS CloudFormation, GitHub, and Sonar
• Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI) • Comprehensive, competitive, and inclusive health, financial, and other benefits supporting total well-being • Employment authorization sponsorship may be considered for a new qualified applicant • Remote work option
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