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Director, Data Scientist

Company: USAA
Location: San Antonio
Posted on: February 16, 2020

Job Description:

Purpose of JobLeads a team of Data Scientists responsible for advanced analytical solutions that include predictive analytics, machine learning, simulation, and optimization techniques to that generate management insights and enable customer-facing applications. Utilizes technical acumen and in-depth understanding of business processes and practices to influence the creation and execution of operational and strategic plans. Partners with IT and other areas to build major improvements to analytical processes and systems. Advises Senior Leadership on the development of data science solutions and long term goals and or strategies. Maintains relationships with academic and industry thought-leaders to ensure the enterprise has access to cutting-edge thinking and technologies.Job Requirements

  • Collaborates with other analytical leaders to fulfill the strategic direction of the business through data and information exploration, research of emerging technologies or analytical techniques and long-term defined/project specific strategic assignments.
  • Oversees and executes the exploration of promising new technologies, analytical methods and data sources (internal to USAA & external) that have potential to add value to the enterprise.
  • Partners with enterprise analytical and IT teams to build USAA core capabilities and processes.
  • Identifies additional resource needs ranging from IT investments, 3rd party support or additional analysts.
  • Understands the business direction, environment and strategies, to identify and recommend solutions that influence decision makers and drive change.
  • Directs the design and construction of large and complex data sets from large amounts of structured and unstructured data (internal and external) to enable analytical solutions.
  • Builds and leads a high performing team of experts in advanced analytics. - Develops team reputation as highly skilled experts in the field of data science.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.
    • 8 or more years of experience in predictive modeling, large data analysis and computer science
    • 3 or more years of direct management experience
    • 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) and one dynamic scripting language (e.g., Python, PERL, Ruby)
    • A strong track record of communicating results, insights, and technical solutions to Senior Executive Management (or equivalent)*Qualifications may warrant placement in a different job level*When you apply for this position, you will be required to answer some initial questions. - This will take approximately 5 minutes. - Once you begin the questions you will not be able to finish them at a later time and you will not able to change your responses.Preferred Skills (any of the following)
      • Expertise in experimental design, advanced statistical analysis, and modeling to discover key relationships in data and applying that information to predict likely future outcomes; fluent in regression, classification, tree-based models, clustering methods, text mining, and neural networks.
      • Proven ability to enrich (add new information to) data, advise on appropriate course(s) of action to take based on results, summarize complex technical analysis for non-technical executive audiences, succinctly present visualizations of high dimensional data, and explain & justify the results of the analysis conducted.
      • Highly competent at data wrangling and data engineering in SQL and SAS as well as advanced machine learning (ML) techniques using Python; comfortable in cloud computing environments (Azure, GCP, AWS).
      • Hands-on experience developing products that utilize advanced machine learning techniques like deep learning in areas such as computer vision, Natural Language Processing (NLP), sensor data from the Internet of Things (IoT), and recommender systems; along with transitioning those solutions from the development environment into the production environment for full-time use.
      • PhD in Computer Science, Applied Mathematics, Quantitative Economics, Operations Research, Statistics, or related field with coursework in advanced Machine Learning techniques (Natural Language Processing, Deep Neural Networks, etc).
      • Fluent in deep learning frameworks and libraries (TensorFlow, Keras, PyTorch, etc).
      • Highly skilled in handling Big Data (Hadoop, Hive, Spark, Kafka, etc).
      • Experience in reinforcement learning, knowledge graphs and graph databases, Generative Adversarial Networks (GANs), semi-supervised learning, multi-task learning is a plus.
      • Experience in publishing at top ML, computer vision, NLP, or AI conferences and/or contributing to ML/AI-related open source projects and/or converting ML/AI papers into code is a plus.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 package 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.USAA also offers a variety of on-site services and conveniences to help you manage your work and personal life, including seven cafeterias, two company stores and three fitness centers.Relocation assistance is available for this position.For Internal Candidates:Must complete 12 months in current position (from date of hire or date of placement), or must have manager's approval prior to posting.Last day for internal candidates to apply to the opening is 12/22/19 by 11:59 pm CST time.

Keywords: USAA, San Antonio , Director, Data Scientist, Executive , San Antonio, Texas

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