Data Scientist - State Farm

Dallas, TX

Job Category: Data Science Industry: Insurance

Duties and Responsibilities:

  • Performs improved visual representation of data to allow clearer communication, viewer engagement and faster/better decision-making
  • Investigates, recommends, and initiates acquisition of new data resources from internal and external sources
  • Works with IT teams to support data collection, integration, and retention requirements based on business need
  • Identifies critical and emerging technologies that will support and extend quantitative analytic capabilities
  • Manages work efforts which require the use of sophisticated project planning techniques
  • Applies a wide application of complex principles, theories and concepts in a specific field to provide solutions to a wide range of difficult problems
  • Develops and maintains an effective network of both scientific and business contacts/knowledge obtaining relevant information and intelligence around the market and emergent opportunities
  • Contributes data to State Farm's internal and external publications, write articles for leading journals and participate in academic and industry conferences
  • Collaborates with business subject matter experts to select relevant sources of information
  • Develop breadth of knowledge in programming (R, Python), Descriptive, Inferential, and Experimental Design statistics, advanced mathematics, and database functionality (SQL, Hadoop)
  • Develop expertise with multiple machine learning algorithms and data science techniques, such as exploratory data analysis, generative and discriminative predictive modeling, graph theory, recommender systems, text analytics, computer vision, deep learning, optimization and validation
  • Develop expertise with State Farm datasets, data repositories, and data movement processes
  • Assists on projects/requests and may lead specific tasks within the project scope
  • Prepares and manipulates data for use in development of statistical models
  • Develops fundamental understanding of insurance and financial services operations and uses this knowledge in decision making

Skills & Professional Experience

  • Develop hypotheses, design experiments, and test feasibility of proposed actions to determine probable outcomes using a variety of tools & technologies
  • Masters, other advanced degrees, or five (5) years' experience in an analytical field such as data science quantitative marketing, statistics, operations research, management science, industrial engineering, economics, etc. or equivalent practical experience preferred.
  • Experience with SQL, Python, R, Java, SAS or MapReduce, SPARK
  • Experience with unstructured data sets: text analytics, image recognition etc.
  • Experience working with numerous large data sets/data warehouses and ability to pull from such data sets using relevant programs & coding including files, RDBMS & Hadoop based storage systems
  • Knowledge in machine learning methods including at least one of the following: Time series analysis, Hierarchical Bayes; or learning techniques such as Decision Trees, Boosting, Random Forests.
  • Excellent communication skills and the ability to manage multiple diverse stakeholders across businesses and leadership levels.
  • Exercise sound judgment to diagnose and resolve problems within area of expertise
  • Familiarity with CI/CD development methods, Git and Docker a plus

For over 95 years, data has been key to State Farm. As a member of our data science team, you will work across the organization to solve business problems and help achieve business strategies. You will employ sophisticated, statistical approaches and state of the art technology. You will build and refine our tools/techniques and engage with internal stakeholders across the organization to improve our products & services.

Implementing solutions is critical for success. You will do problem identification, solution proposal & presentation to a wide variety of management & technical audiences. This challenging career requires you to work on multiple concurrent projects in a community setting, developing yourself and others, and advancing data science both at State Farm and externally.

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