Note: The job is a remote job and is open to candidates in USA. Capital One is a Fortune 200 company that focuses on data-driven decision-making. As a Data Science Leader, you will partner with a cross-functional team to drive modeling decisions and influence business strategy through advanced machine learning technologies.
Responsibilities
- Partner with a cross-functional team of software engineers, distinguished researchers, and solutions architects to drive great decisions through modeling
- Define and drive towards an end state that is based on simplicity and the adoption of digital technologies, cloud hosting, and open source software
- Distill the details of complex interconnected modeling systems to influence senior business leaders on model strategy, business use, and risks
- Assess, challenge, and at times defend state-of-the-art decision-making systems to internal and regulatory partners
- Shape our practice of building machine learning models, from design through training, evaluation, validation, and implementation
- Oversee development of benchmark and challenger models to stress test critical modeling decisions
Skills
- Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 11 years of experience performing data analytics
- A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 9 years of experience performing data analytics
- A PHD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics
- 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
- PhD in 'STEM' field (Science, Technology, Engineering, or Mathematics) plus 5 years of experience in data analytics
- At least 6 years of experience in Python, Scala, or R for large scale data analysis
- At least 6 years of experience with machine learning
- At least 2 year of experience working with AWS
- At least 6 years of experience with complex architectural patterns (SOA), building APIs, microservices, and event streams
- At least 6 years of experience with DevOps or DevSecOps and building CI/CD pipelines using Jenkins, Artifactory, Chef, Ansible, AWS CloudFormation templates, GitHub, and Sonar
Benefits
- This 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.
- Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
Company Overview
Company H1B Sponsorship