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Data Scientist Lead

Company: USAA
Location: Castroville
Posted on: August 6, 2022

Job Description:

Purpose of Job We are seeking a hardworking and dedicated Data Scientist Lead. This individual will work remotely and convene with their teams during the year.

Applies analytics, machine learning, simulation, and optimization techniques to generate management insights and enable customer-facing applications; Builds analytical solutions using and applications to deliver value and build competitive advantage; Leads initiatives and influences system architecture to enable automated intelligent solutions. Translates sophisticated analytical and technical concepts to senior management to enable business decisions; Maintains relationships with academic and industry leaders with vision to ensure enterprise has access to groundbreaking thinking and technologies. Job Requirements Tasks:

  • Identifies and leads existing and emerging risks that stem from business activities and the job role.
  • Ensures risks associated with business activities are effectively identified, measured, supervised, and controlled.
  • Follows written risk and compliance policies, standards, and procedures for business activities.
  • Partners with business leaders across the organization to assess business needs, define business problems and develop a research agenda; leads cross functional, matrixed teams to tackle highly sophisticated work critical to the organization.
  • Designs and builds large and sophisticated information sets; Integrates and extracts relevant information from large amounts of both structured and unstructured data (internal and external) to enable analytical solutions.
  • Leads and conducts advanced analytics using predictive modeling, machine learning, simulation, optimization and other techniques to deliver insights or develop analytical solutions to achieve business objectives.
  • Leads 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 and provide guidelines for large-scale implementation.
  • Builds and maintains a robust library of reusable algorithms and supporting code, such that research efforts are based on the highest quality data, are clearly conducted, and can be productionized and are reproducible.
  • Provides mentorship regarding analytical approach and iteration of algorithms to team members.
  • Translates complex analytical and technical concepts to senior management and non-technical employees to enable understanding and drive informed business decisions.
  • Develops and maintains academic and industry relationships for the purposes of research; interacts with internal and external peers and management to maintain expertise and awareness of innovative techniques, technologies and potential business solutions.Minimum Requirements:
    • Master's degree in Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or related field; OR 6 years of related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.
    • 8 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).
    • Expert in at least one compiled language (e.g., Java, C or more or more) and one dynamic scripting language (Python, PERL, Ruby).
    • A strong track record of communicating results, insights, and technical solutions to Senior Executive Management (or equivalent).
    • Extensive background in data mining and statistical analysis.
    • Excellent pattern recognition and predictive modeling skills.
    • Knowledge and application of Data Science principals and experience with data science methodologies.
    • Experience with the following statistical and predictive modeling approaches: Gaussian Process; Markov Models; Hierarchical Clustering; K-Means; Linear Regression; Logistic Regression; Monte Carlo Simulation; Neural Networks.
    • Extensive technical skills, consulting experience, and business savvy to interface with all levels and disciplines within our customers organization.
    • Demonstrated ability to communicate ideas with team members and/or business leaders to convey and present very technical information to an audience that may have little or no understanding of technical concepts in data science.Preferred Experience:
      • Deep domain expertise in the financial crimes space at a bank, including Fraud and AML, and led multiple data science projects over the entire model lifecycle through ideation, development, model risk, final implementation, and performance monitoring.
      • Prepared model risk development and implementation documentation at a financial institution in line with SR-11-07 for multiple models.
      • Experience working with regulators as technical point of contact a plus.
      • Experience in application of graph technologies in financial crimes, or cyber security e.g. Fraud, AML, and technologies such as NetworkX, AWS Neptune.
      • Experience working with business partners / clients, and leading and mentoring junior Data Science team members to scope work with the business, gather requirements, and possess strong project planning.
      • Deep experience mentoring and training junior Data Scientists.
      • A plus to have exposure to NLP, deep learning, computer vision.
      • Experience with Netezza, Snowflake, Hive/Hadoop.
      • Experience with classic machine learning methods such as XGBoost, SVM, KNN etc.
      • Track record of innovation, for example introducing new application of techniques or technology at a prior institution or developing patents.
      • Track record of positive technical influence across the department, or greater level, to shape people, process, and technology of the organization, from project level to strategic level.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.Compensation:USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market position. The salary range for this position is: $135,200-$243,500.Employees may be eligible for pay incentives based on overall corporate and individual performance or at the discretion of the USAA Board of Directors. Geographical Differential: Geographic pay differential is additional pay provided to eligible employees working in locations where market pay levels are above the national average.Shift premium will be addressed on an individual basis for applicable roles that are consistently scheduled for non-core hours.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.To see details on our outstanding benefits, visit USAA Total Rewards. Relocation assistance is not available for this position.

Keywords: USAA, San Antonio , Data Scientist Lead, Other , Castroville, Texas

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