Data Scientist Senior

USAA-posted about 23 hours ago
Full-time • Mid Level
Remote
5,001-10,000 employees
Resume
Match Score
Upload and Match ResumeTrack Jobs with Teal

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

  • 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.
  • 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
  • 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
  • continuing education
Track Jobs with Teal

Job Search Resources

•
AI Resume Builder
•
Senior Data Scientist Resume Examples
•
Senior Data Scientist Cover Letter Examples

Tools

Career Hubs

Guides

Company

© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service