implement datadriven recommendations and outcomes building relationships within capital one across the external data science community to continue shaping the capital one data science brand and attracting toptier talent developing and deploying behavioral models to better target and underwrite prospects applicants and customers leveraging analytical and technical skills to build the nextgeneration enterprise digital experimentation and analytics platform collaborating with data engineers data scientists product managers and other business analysts to create a nimble and resilient modeling infrastructure that enables cicd the ideal candidate will be technical you have handson experience developing data science solutions from concept to production and selecting the right tool for the job at hand you understand modern cloud computing and have a solid foundation in statistics you have experience prototyping and implementing data science solutions in a financial institution you know python scala andor r communicator you can communicate complex ideas clearly your team knows their priorities and you manage expectations with your broader crossfunctional stakeholder network ad leadership team innovative but also resultsfocused you continually research and evaluate emerging technologies you stay current on published stateoftheart algorithms models you balance rd with inmarket results customer businessminded you have an astute ability to understand the customer and business problem that is to be solved and can drive towards impactful outcomes leader you challenge conventional thinking and traditional ways of operating and you work with stakeholders to identify and improve the status quo basic qualifications bachelors degree plus 8 years of experience in data analytics or masters degree plus 6 years of experience in data analytics or phd plus 4 years of experience in data analytics at least 5 years coding experience with open source programming languages in pyhon r or scala at least 5 years experience developing commercial data science solutions in a financial institution leveraging one or more of the following operations research natural language processing machine learning deep learning video or image analysis or timeseries analysis at least 4 years experience managing data science or data engineering groups preferred qualifications masters degree or phd in a stem major science technology engineering or math at least 3 years experience working with aws azure or similar cloud platform at least 7 years experience developing commercial solutions in python scala or r at least 7 years experience developing commercial data science solutions leveraging one or more of the following operations research natural language processing machine learning deep learning videoimage analysis or timeseries analysis at least 4 years experience mentoring junior data scientists and providing technical governance and oversight capital one will consider sponsoring a new qualified applicant for employment authorization for this position