Senior Director, Data Science (Remote-Eligible)
In this role, you will:
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
The Ideal Candidate is:
A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo.
Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. Youre not afraid to share a new idea.
Technical. Youre comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
Statistically-minded. Youve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.
Basic Qualifications:
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
Preferred Qualifications:
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
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
Capital One is open to hiring a Remote Employee for this opportunity.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
Remote (Regardless of Location): $286,200 - $326,700 for Sr Dir, Data ScienceMcLean, VA: $314,800 - $359,300 for Sr Dir, Data Science
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidates offer letter.
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.
This role is expected to accept applications for a minimum of 5 business days.
