Data Scientist Senior

Purpose of Job

We are currently seeking talented Data Scientist Senior for our Phoenix, AZ, or San Antonio, TX facility.

The Enterprise Data & Insights Machine Learning department is responsible for performing analyses, developing applications and models, and building capabilities that enable our enterprise clients to leverage a wealth of data. In this role you will be asked to envision and create rich data applications, build solutions to optimize & automate our enterprise functions (call center routing, insurance fraud detection, recommendation services), and contribute to platform infrastructure ensuring reliability and robustness. This could include inventing novel functions for exploring and gaining insights from data, implementing high-availability production APIs, and ultimately deploying predictive models and machine learning algorithms

Uses advanced techniques that integrate traditional and non-traditional datasets to enable analytical solutions; Applies predictive analytics, machine learning, simulation, and optimization techniques to generate management insights and enable customer-facing applications; Builds analytical solutions leveraging internal and external applications to deliver value and create competitive advantage; Translates complex analytical and technical concepts to non-technical employees.

Job Requirements

  • Partners with business leaders across the organization to define business problems and research questions; Serves as key resource and Subject Matter Expert (SME) on cross functional, matrixed teams to solve highly complex work critical to the organization.
  • Builds large and complex information sets; Integrates and extracts relevant information from large amounts of both structured and unstructured data (internal and external) to enable analytical solutions.
  • Conducts advanced analytics leveraging predictive modeling, machine learning, simulation, optimization and other techniques to deliver insights or develop analytical solutions to achieve business objectives.
  • Serves as key resource and Subject Matter Expert (SME) on efforts to develop scalable, efficient, automated solutions for large scale data analyses, model development, model validation and model implementation.
  • Works with IT to translate prototypes into new products, services, and features.
  • Builds and maintains a robust library of reusable algorithms and supporting code such that research efforts are based on the highest quality data, are transparently conducted, are able to be productionized and are reproducible.
  • Translates complex analytical and technical concepts to non-technical employees to enable understanding and drive informed business decisions.
  • Maintains academic and industry relationships for the purposes of research; Maintains expertise and awareness of cutting edge techniques, technologies and potential business solutions.

Minimum Requirements

  • Master's degree in Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or related field (6 additional years of related experience beyond the minimum required may be substituted in lieu of a degree)
  • 6 or more Years in predictive modeling, large data analysis and computer science
  • Experience in stochastic modeling, machine learning, and other advanced mathematical techniques (e.g., neural nets, simulation, graph analysis)
  • Solid experience in at least one compiled language (e.g., Java, C or more or more) and one dynamic scripting language (Python, PERL, Ruby)

Preferred

  • Machine learning libraries (eg: Tensor Flow, Keras) 
  • Hadoop (Hive, Impala, MapReduce) 
  • Applicable hands-on experience in an enterprise grade environment, with deployment experience
  • Infrastructure components (e.g. VMs, Servers, Routers, Network Switches, Accelerators, etc.) 
  • Predictive modeling (eg: Bayesian inference, time series forecasting, signal detection, queuing optimization, clustering, survival analysis) 
  • Splunk Machine Learning Toolkit, Data visualization in Splunk
  • Self-starter, used to working in pseudo remote environment
  • Experience in communicating at all levels of leadership, consulting experience ideal
  • Call center data experience
  • Forecasting experience with time series data

The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.

At USAA our employees enjoy one of the best benefits packages in the business, including a flexible business casual or casual dress environment, comprehensive medical, dental and vision plans, along with wellness and wealth building programs. Additionally, our career path planning and continuing education will assist you with your professional goals.

Relocation assistance is not available for this position.