Senior Director Data Science

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. You're not afraid to share a new idea. - Technical. You're 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. You've 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 a Bachelor's Degree in a quantitative field plus 11 years of experience performing data analytics; a Master's Degree or MBA plus 9 years of experience; or a PhD plus 6 years of experience. - 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 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