Director, Data Scientist
Phoenix, AZAll locationsPhoenix, AZSan Antonio Home Office IPhoenix Campus (Main)Tampa CampusCharlotte, NCColorado Springs CampusTampa CrosstownPlano LegacySan Antonio, TXPlano, TXTampa, FL Hybrid
$189,370–$361,950 a yearJobFig found this opening at its original source and checks that it remains available.
About the role
At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. As a dedicated Director, Data Scientist , you will lead a team of Data Scientists responsible for identifying, scoping, and translating business problems into applied statistical, machine learning, simulation, and optimization solutions that generate actionable business insights and drive business value through automation, revenue generation, and the reduction of expenses and risk. You will work closely with business leaders to ideate, evaluate, and scope projects that address critical business needs. You will manage the team's project portfolio and communicate progress, outcomes, and key updates to senior leadership and other business stakeholders. Additionally, you will be responsible for the team's model inventory, ensuring compliance with USAA's model risk management policies and regulatory requirements. You will influence the future of data science at USAA by researching emerging technologies, identifying opportunities for innovation, and driving the adoption of advanced analytical capabilities across the organization. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL. Relocation assistance is not available for this position. As a dedicated Director, Data Scientist , you will lead a team of Data Scientists responsible for identifying, scoping, and translating business problems into applied statistical, machine learning, simulation, and optimization solutions that generate actionable business insights and drive business value through automation, revenue generation, and the reduction of expenses and risk. You will work closely with business leaders to ideate, evaluate, and scope projects that address critical business needs. You will manage the team's project portfolio and communicate progress, outcomes, and key updates to senior leadership and other business stakeholders. You will influence the future of data science at USAA by researching emerging technologies, identifying opportunities for innovation, and driving the adoption of advanced analytical capabilities across the organization.
What you'll bring
- Bachelor's degree in Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science, or a business or quantitative field
- OR 4 years of relevant education and/or experience.
- 8 years in predictive modeling, model governance, machine learning and large data analysis., OR Advanced Degree (e.g., Master's, PhD) in Mathematics, Statistics, Data Science, Computer Science, or related quantitative STEM field (Science, Technology, Engineering and Math) field and 6 years in predictive modeling, model governance, machine learning and large data analysis.
- 3 years of direct management experience.
- Strong communication skills
- demonstrated ability to interpret and translate complex technical information to diverse audiences.
- Experience with various languages, applications, and technologies (such as SQL, Python, R, Spark, Hadoop etc.) commonly associated with delivery of Data Science solutions.
- Experience in developing and reviewing modeling solutions based on broad range of techniques - e.g., linear and logistic regressions, time series methods, survival analysis, support vector machines, neural networks, decision trees, random forests, gradient-boosting methods, deep learning, k-means and other clustering methods, simulation methods, or other advanced techniques.
- Demonstrated ability to apply best practices in modeling and machine learning techniques to solve business problems.
- Demonstrated ability to write and review complex technical documentation, communicate modeling insights and technical details to business leaders, technical and non-technical audiences.
- A strong track record of communicating results, insights, and technical solutions to Senior Executive Management (or equivalent).
- Deep technical skills, consulting experience, and business savvy to interface with all levels and disciplines within the organization.