Data Scientist Senior

USAA • San Antonio, TX

9d • Remote

About The Position

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. Embrace a fulfilling career at USAA, where our core values – honesty, integrity, loyalty and service – define how we treat each other and our members. Be part of what truly makes us special and impactful. The Opportunity Employer: United Services Automobile Association

Requirements

• Will accept a Bachelor’s degree in Business Analytics, Computer Science, Applied Mathematics, Quantitative Economics, Statistics or related field followed by 6 years of progressive, post-baccalaureate experience in job offered or in a related occupation. Alternatively, will accept a Master's degree in Business Analytics, Computer Science, Applied Mathematics, Quantitative Economics, Statistics or related field and 4 years of experience in job offered or in a related occupation.
• Developing models using Machine Learning techniques for Prediction, Classification and Segmentation: Regression with regularization; Tree based Ensemble (Bagging- Random Forest, Boosting- CatBoost, AdaBoost, and XGBoost); Gaussian Mixture models; K-means/ KNN; and Neural Network and Natural Language Processing (NLP) based models
• End-to-end model development process from collaborating with cross-functional teams, collecting business requirements, data collection, model development, and validation and deployment
• Developing statistical models and quantitative analysis
• Coding languages & analytical tools for ML model development such as Python, PySpark and AWS Sagemaker, Google Cloud Platform, Microsoft Azure big data environments, and Git
• Hadoop architecture
• Snowflake, Hive, Oracle, IBM Netezza, and MySQL
• Tableau and Power BI
• Grasp of mathematics in calculus, linear algebra, probability, and statistics
• Coding SQL queries
• Translating product, business requirements into approach statements, project plans and communicating results of advanced analytic solutions
• Deploying Machine Learning, statistical models into production environments and monitoring the models in production

Responsibilities

• Partner with other analysts across the organization to fully define business problems and research questions.
• Support SME's on cross functional matrixed teams to solve highly complex work critical to the organization.
• Integrate and extract relevant information from large amounts of both structured and unstructured data (internal and external) to enable analytical solutions.
• Conduct advanced analytics leveraging predictive modeling, machine learning, simulation, optimization and other techniques to deliver insights or develop analytical solutions to achieve business objectives.
• Support Subject Matter Experts (SME's) on efforts to develop scalable, efficient, automated solutions for large scale data analyses, model development, model validation and model implementation.
• Work with IT to research architecture for new products, services, and features.
• Develop algorithms and supporting code such that research efforts are based on the highest quality data.
• Translate complex analytical and technical concepts to non-technical employees to enable understanding and drive informed business decisions.
• May telecommute.

Benefits

• At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include 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, and various wellness programs.
• Additionally, our career path planning and continuing education assists employees with their professional goals.
• For more details on our outstanding benefits, visit our benefits page on USAAjobs.com.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees