Director, Data Scientist

Role Overview

As a 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.

What You Will Do

You will work closely with business leaders to ideate, evaluate, and scope projects that address critical business needs, and manage the team’s project portfolio and communicate progress, outcomes, and key updates to senior leadership and other business stakeholders.

Why It Might Be a Fit

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.

Requirements

• 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.

Benefits

• Comprehensive medical, dental and vision plans
• 401(k)
• Pension
• Life insurance
• Parental benefits
• Adoption assistance
• Paid time off program with paid holidays
• 16 paid volunteer hours
• Various wellness programs

Tagged as: Data Analysis, Python, SQL