Data Scientist - Cincinnati, OH

Company Description

Great American Insurance Company is one of the principal subsidiaries of American Financial Group, Inc. ("AFG"), which was founded by Carl H. Lindner in 1955. AFG is a New York Stock Exchange traded company with over $36 billion in assets and $6 billion in revenues. Great American Insurance Company, with over $8 billion in assets and $1.5 billion in revenues, offers property and casualty insurance products, focusing on specialized commercial products for businesses.


Innovation is the entry point for evaluating new technologies, use cases and assessing the impact or opportunity on business capabilities. We are seeking a Data Scientist with a sincere interest in guiding and helping others achieve their potential to be a part of a talented team of data scientists and data engineers. Whether developing new products or identifying novel approaches to core models, we are continuously seeking the next big idea to move our business forward. The Data Scientist will work collaboratively with other cross functional teams for planning as well as evaluating productivity and engagement in order to achieve excellence.


Job Description

Great American Emerging Technologies - Data Scientist will become an integral part of our Emerging Technologies – Data Science team.

  • Develop broad knowledge of Property and Casualty Insurance knowledge in order to assist customers
  • Work with GAI divisions and cross functional teams to assist in facilitating our analytic solutions
  • Detailed understanding of building good technical solutions with ability to galvanize a technical team into solving a problem, breaking large projects into smaller pieces to meet deadlines; ability to convert ideas into testable hypotheses and/or next steps
  • Build upon a combination of Python, R, or SQL language skills in order to better understand how queries work and are implemented in our practices
  • Utilize natural language processing and text mining techniques to transform unstructured text into normalized, structured data suitable for analysis or to drive machine learning (ML) and deep learning (DL) algorithms
  • Knowledge of machine learning, deep learning, natural language processing, pipelines and engineering architecture
  • Experience manipulating large datasets using SQL, Spark, or similar
  • Hands on experience working with big data solution and/or cloud technology (Hadoop, Microsoft Azure, Google Cloud Platform)
  • Knowledge of GIT and version control to promote reproducible research standards
  • Partner with Product, Engineering, and IT teams to solve problems and identify trends and opportunities
  • Develop data transformations and manipulations in Python or R to fit our business needs
  • Build, assess, and validate predictive models
  • Present analysis results in table, plots, or other means to help with interpretations
  • Perform other duties as assigned
  • Qualifications

  • Strong academic credentials with a degree in statistics, mathematics, computer science, or other quantitative areas of study
  • Strong sense of intellectual curiosity balanced with humility, drive and teamwork
  • This is a technical position requiring basic analytical and problem-solving skills with attention to detail
  • Intermediate/Advanced understanding of syntax and programing logic (Python preferred)
  • Ability to work both independently and as part of a team with professionals at all levels
  • Must be self-motivated and take initiative
  • Location

  • Downtown Cincinnati, Great American Tower, 301 East Fourth Street, Cincinnati, OH 45202
  • Must have reliable transportation with the ability to pay for downtown parking or take the Metro or TANK bus to work

Posted On: Thursday, September 30, 2021
Compensation: $150,000.00

Apply to this job
  • It is the policy of Resolvit, LLC to provide and administer employment, training, compensation, promotion, benefits and employment practices without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, age, disability, medical condition, veteran status, marital status, or political affiliation.