Capital One kredit kartalari, avtomobil kreditlari, bank xizmatlari va jamg‘arma mahsulotlarini taklif qiluvchi moliyaviy xizmatlar va fintech kompaniyasidir. Kompaniya faoliyati mijozlarning mablag‘larini boshqarish usulini yaxshilash uchun moliyaviy tajribani texnologiyalar va raqamli vositalar bilan birlashtiradi. Kompaniyadagi karyera yo‘nalishlari xilma-xillik va inklyuzivlikni qadrlaydigan ishchi kuchi tarkibida mijozlarga yo‘naltirilgan yechimlar yaratishga qaratilgan.
Senior Director of Data Science at Capital One (Remote)
Lead agentic AI product development and machine-learning strategy at Capital One. Guide experimentation, model governance, and enterprise data-science direction.
Tavsif
- Collaborate with software engineers, distinguished researchers, and solutions architects to inform decisions through modeling
- Establish a target state centered on simplicity, digital technologies, cloud hosting, and open-source software
- Translate complex, interconnected modeling systems for senior business leaders, covering model strategy, applications, and risks
- Evaluate, challenge, and defend advanced decision-making systems with internal and regulatory stakeholders
- Lead machine-learning model development from design and training through evaluation, validation, and implementation
- Oversee benchmark and challenger models to stress-test critical modeling decisions
- Create AI/ML models and solutions for agentic AI products
- Develop experiments, A/B tests, and model telemetry, then convert findings into AI strategy and guidance for C-suite leaders
Talablar
- Bachelor’s degree in a quantitative field and 11 years of data analytics experience; or a master’s degree/MBA with a quantitative concentration and 9 years; or a quantitative PhD and 6 years
- Hold or be pursuing the required degree, with completion expected by the scheduled start date
- At least 6 years of experience using open-source programming languages for large-scale data analysis
- At least 6 years of machine-learning experience
- At least 6 years of experience working with relational databases
- Hands-on experience developing data-science solutions with open-source tools and cloud-computing platforms
- Experience developing, validating, and backtesting models
- Experience with clustering, classification, sentiment analysis, time series, and deep learning
- Preferred: PhD in STEM and 5 years of data analytics experience
- Preferred: at least 6 years of experience using Python, Scala, or R for large-scale data analysis
- Preferred: at least 6 years of machine-learning experience
- Preferred: at least 2 years of AWS experience
- Preferred: at least 6 years of experience with complex architectural patterns, including SOA, APIs, microservices, and event streams
- Preferred: at least 6 years of DevOps or DevSecOps experience with CI/CD tools including Jenkins, Artifactory, Chef, Ansible, AWS CloudFormation, GitHub, and Sonar
Imtiyozlar
- Performance-based incentive compensation, potentially including cash bonuses and/or long-term incentives
- Broad, competitive, and inclusive health, financial, and other benefits designed to support total well-being
- Employment authorization sponsorship may be considered for qualified new applicants
- Remote work option