Leads a team of Data Scientists responsible for identifying, scoping, and translating business problems into applied statistical, machine learning, simulation, and optimization solutions to inform actionable business insights and drive business value
Works with business leaders to ideate, valuate, and scope projects to meet business needs
Manages the team’s projects and communicates progress updates to senior leadership and other business stakeholders
Responsible for the team’s model inventory and ensures compliance with USAA model risk policies and regulatory expectations
Influences the future of data science at USAA by conducting research on the latest technologies and driving adoption of those technologies
Acts as advanced analytics thought leader and advisor to the business to shape strategies that drive competitiveness and differentiation
Influences business, data, and technology leaders to invest, sustain and expand advanced analytical capabilities
Leads and develops team to build and deploy various advanced analytical solutions in an agile and collaborative environment across business, data, and technology organizations
Enables team’s success by simplifying processes across the model development lifecycle and driving automation
Identifies, scopes, and manages complex analytical projects in collaboration with business stakeholders
Champions and manages efforts to deliver business insights via scalable, automated solutions using machine learning, simulation, and optimization
Responsible for ensuring all modeling and machine learning solutions adhere to industry standards, model risk policy, and regulatory expectations
Partners with enterprise analytical and IT teams to build USAA core capabilities and processes
Identifies additional resource needs ranging from IT investments, 3rd party support or additional analysts
Builds and oversees a team of Data Scientists through ongoing execution of recruiting, development, retention, coaching and support, performance management, and managerial activities
Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.

Requirements

Bachelor’s degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience may be substituted in lieu of degree
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 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
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.

Benefits

comprehensive medical, dental and vision plans
401(k)
pension
life insurance
parental benefits
adoption assistance
paid time off program with paid holidays plus 16 paid volunteer hours
various wellness programs
career path planning and continuing education assistance

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

predictive modelingmodel governancemachine learninglarge data analysisstatistical analysissimulationoptimizationdata analysisquantitative analyticsmodel development

Soft Skills

strong communication skillsteam leadershipproject managementcollaborationproblem-solvingcoachingperformance managementstakeholder engagementtechnical documentationbusiness insights communication