Data Scientist Senior

Role Overview

As a Data Scientist Senior at USAA, you will gather, interpret, and manipulate structured and unstructured data to enable advanced analytical solutions for the business. You will develop scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value.

What You Will Do

Your main responsibilities will include developing and deploying models within the Model Development Control (MDC) and Model Risk Management (MRM) framework, composing technical documents, and communicating outcomes to non-technical business colleagues.

Why It Might Be a Fit

This role requires a strong background in data science, machine learning, and programming skills. You will work with business and analytics leaders to prioritize analytics and modeling problems/research efforts and build and maintain a robust library of reusable, production-quality algorithms and supporting code.

Requirements

• Bachelor’s degree in Mathematics, Computer Science, Statistics, Economics, Finance, Actuarial Sciences, Science and Engineering or related field
• 4 years of experience in the job offered or in a related occupation
• Calculus: Derivatives, Gradients, and Optimization Algorithms
• Linear Algebra: Linear Transformations and Matrix Decompositions
• Probability & Statistics: Descriptive Statistics, Probability Distributions, Hypothesis Testing, Stochastic Processes, and Monte Carlo Simulation
• Supervised Learning: Regression and Classification
• Unsupervised Learning: Clustering, Dimensionality Reduction, and Anomaly Detection
• Time Series Analysis
• Causal Inference
• Deep Learning Framework: TensorFlow, PyTorch, or Keras
• Deep Learning Architectures: CNNs, RNNs, Encoder-decoders, and Transformers
• NLP Experience: Embedding, Sentiment Analysis, Text Classification, and Topic Modeling
• LLM Experience: Use LLM for Summarization, Information Extraction, Text Generation, and Question Answering
• LLM Techniques: Embedding, Prompt Engineering, Retrieval Augmented Generation, and Fine-tuning
• Python, PySpark, C++, SQL, and Power BI
• Git Version Control System
• Airflow CI/CD Tool
• Docker Containerization Tool
• Google Cloud Platforms, experience with Big Query, Vertex AI, and Cloud Storage
• Finance & Insurance Knowledge
• Data Science Development Platforms; and
• Multi-Cloud Data Platforms

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