Sr. Data Scientist

Job Description

  
We are Farmers! 
  
Join a team of diverse professionals at Farmers to acquire skills on the job and apply your learned knowledge to future roles at Farmers. Farmers Insurance also offers extensive training opportunities through the award winning University of Farmers named by Training magazine amongst top 10 corporate training units in the world. Start your career at Farmers today! 
  
Job Summary 
  
The Senior Data Scientist will be a valuable part of the Advanced Analytics team, who provide data modeling services (exploratory and predictive modeling) for all lines of business and all share service functions at Farmers Claims. The Senior Data Scientist will work on end to end solutions as an individual contributor and as part of the project team, starting with partnering with business leaders to identify project opportunities and clarify modeling requirements. They will conceive and design complex and innovative analytic models both that include traditional and contemporary data mining technologies, applied to both structured and unstructured data sets. The Senior Data Scientist will be responsible for pulling and cleaning datasets, building and testing the models, and presenting results to internal teams and business leaders to demonstrate the business value of each project.  
  
Essential Job Functions 
  
Lead the design, build and test/validate process for quantitative models (descriptive, predictive, optimization/simulation and others) built using a variety of modeling techniques. Models are used to predict activities or events within Claims such as Fraud, Subrogation, Litigation, Severity, Triage, etc. The modeling results could be presented to end users as reports, scorecards, dashboards, web applications or be implemented directly into the Claims workflow with an automated process. Partner with business leaders to identify project opportunities and clarify modeling requirements, including understanding who will use the potential solution and how it fits into the business process. Presents modeling results to business leaders and discusses interpretation and application of using the model. Perform research and development on new modeling algorithms, modeling concepts or technical tools to find applicability to Farmers projects. Present results to the Analytics Director and recommends whether researched items should be added to the Farmers Analytics toolkit. Lead team meetings, knowledge sharing and individual learning activities Perform other job duties as assigned  
  
Physical Actions 
  
Physical Environment 
  
Education Requirements 
  
High school diploma or equivalent required. Bachelor's degree preferred. Masters or Ph.D. degree in statistics, operations research or other quantitative analytical field.  
  
Experience Requirements 
  
10+ years as Data Scientist in a delivery oriented environment after advanced degree Experience with Property & Claims Insurance or claims data preferred 
  
Special Skill Requirement 
  
Mastery and ability to use advanced statistical / Machine Learning concepts, including: regression, GLMs, decision trees, ensemble m odeling, clustering, SVM, etc Expert proficiency of at least one statistical/modeling packages (Python, R, Dell-Statistica, etc) Expert proficiency in data management programming SQL and PL-SQL Must be well-organized, have strong written and oral communication skills, and be able to present to senior executives Lead Projects from a technical standpoint using strong CRISP-DM methodology  
  
Farmers is an equal opportunity employer, committed to the strength of a diverse workforce. 
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Schedule: Full-time

Job Posting: 10/22/2019

Other Locations: United States, Ohio, Independence