Central Mutual Insurance Company
Data Scientist II
Central Mutual Insurance Company, Dublin, Ohio, United States, 43016
Hybrid Work Model- Dublin, OH
As a Data Scientist II, you will be squarely in the middle of honing your expertise and domain knowledge of insurance while bringing your best to deliver the data science practices among your peers. You will be carrying the torch to refine and hone-in our existing models and their revisions while at the same time pioneering your own greenfield projects to deliver new capabilities. You will also have the opportunity to influence the department's short- and long-term strategic goals. In this role, you will be expected to use statistical techniques to solve real world problems and should be adept at interpreting and communicating key findings to employees within and external to the Data Science group.
What you will do:
Analyzes internal and external data to perform mathematical, economic and/or statistical modeling to develop actionable insights and recommendationsDevelops and codes software programs and algorithms to automate analyses, build pipelines, and maintain/scale large datasets and modelsPulls data from standardized sources and disparate, dirty sources from internal and external data sources.Contributes to relevant department data pipeline builds and documentation, incorporating basic automated testingHandles complex experimental designs and analyses, including longitudinal studies and factorial designsDesigns and conducts A/B tests and interpret results effectivelyAssess model performance using metrics like accuracy, precision, recall, F1-score, and ROC-AUC.Creates visualizations and/or dashboards to address specific questionsJoins standardized data table sources into standardized formats for use in visualization, automating dataset pipelines to allow for updated and refreshed visualsCreates basic documentation and commentary to guide end users on the purpose and usability of various visualizations.Independently manages time, priority, project scope, and deliverables across multiple projects with exposure to independently identifying meaningful project work in addition to assigned workParticipates in large-scale analytic efforts in collaboration with coworkers, regularly communicating progress with working teamPresents findings to direct reporting group as well as to larger, external audiences, frequently leading group discussions and white boarding sessionsUtilizes data mining techniques, data visualization, and analysis methodologies to communicate insights, identify trends and anomalies, and makes recommendations to the Data Science leadership teamIdentifies areas to increase efficiency and automate analytic processes via traditional methods, artificial intelligence and machine learning techniquesTranslates business problems into technical requirements to provide relevant solutions that facilitate decision making within the Data Science team through appropriate use of data modeling, analysis and visualization techniquesResearches knowledge of existing and emerging data science principles, theories, and techniquesMaintains analytic documentation fit for external audit events as well as DOI objection response materialWhat you will bring:
Master's degree in Computer Science or related field
Or Bachelor's degree in Computer Science or related field and 2 years of related experienceOr 4 years related experience
Preferred:
Experience in performing predictive analytics in a large scale enterpriseSQL experienceProgramming experience (Python, Java, Scala, Rust, R, SAS, etc.)Experience using multiple data systems and sources (such as Hadoop, Spark, Aster, Teradata, etc.Experience with visualization tools such as Power BI, Tableau, SQL Server etc.)Demonstrated ability to build APIsExposure to version control, GIT HubExposure to Cloud computing, AWS, Azure, GCP etc.Strong analytical and problem-solving skillsStrong data visualization development experienceAbility to set priorities and plans to meet business goals and objectivesAbility to shift & balance strategic, high-level thinking with attention to detailAbility to lead, motivate & influence without having formal authorityAbility to act as a thought leader with a focus on innovative & high-quality solutionsAbility to work both independently and in a team environment with internal /external customersAbility to understand, design & implement end-to-end BI workflowsStrong organizational, planning & problem-solving skillsAbility to communicate with stakeholders and business partnersIt is the policy of Central that all recruiting, hiring, training, compensation, overtime, job classification and assignment, facilities, promotions, transfers, employee treatment and all other terms and conditions of employment shall be maintained in a manner which will not discriminate against any person because of race, color, age, sex, national origin, ancestry, religion, marital status, military status, or disability. The applicant should respond to questions on this application in a way that will not divulge such information. #LI-Hybrid #LI- AS1
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Job Family Data Science
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As a Data Scientist II, you will be squarely in the middle of honing your expertise and domain knowledge of insurance while bringing your best to deliver the data science practices among your peers. You will be carrying the torch to refine and hone-in our existing models and their revisions while at the same time pioneering your own greenfield projects to deliver new capabilities. You will also have the opportunity to influence the department's short- and long-term strategic goals. In this role, you will be expected to use statistical techniques to solve real world problems and should be adept at interpreting and communicating key findings to employees within and external to the Data Science group.
What you will do:
Analyzes internal and external data to perform mathematical, economic and/or statistical modeling to develop actionable insights and recommendationsDevelops and codes software programs and algorithms to automate analyses, build pipelines, and maintain/scale large datasets and modelsPulls data from standardized sources and disparate, dirty sources from internal and external data sources.Contributes to relevant department data pipeline builds and documentation, incorporating basic automated testingHandles complex experimental designs and analyses, including longitudinal studies and factorial designsDesigns and conducts A/B tests and interpret results effectivelyAssess model performance using metrics like accuracy, precision, recall, F1-score, and ROC-AUC.Creates visualizations and/or dashboards to address specific questionsJoins standardized data table sources into standardized formats for use in visualization, automating dataset pipelines to allow for updated and refreshed visualsCreates basic documentation and commentary to guide end users on the purpose and usability of various visualizations.Independently manages time, priority, project scope, and deliverables across multiple projects with exposure to independently identifying meaningful project work in addition to assigned workParticipates in large-scale analytic efforts in collaboration with coworkers, regularly communicating progress with working teamPresents findings to direct reporting group as well as to larger, external audiences, frequently leading group discussions and white boarding sessionsUtilizes data mining techniques, data visualization, and analysis methodologies to communicate insights, identify trends and anomalies, and makes recommendations to the Data Science leadership teamIdentifies areas to increase efficiency and automate analytic processes via traditional methods, artificial intelligence and machine learning techniquesTranslates business problems into technical requirements to provide relevant solutions that facilitate decision making within the Data Science team through appropriate use of data modeling, analysis and visualization techniquesResearches knowledge of existing and emerging data science principles, theories, and techniquesMaintains analytic documentation fit for external audit events as well as DOI objection response materialWhat you will bring:
Master's degree in Computer Science or related field
Or Bachelor's degree in Computer Science or related field and 2 years of related experienceOr 4 years related experience
Preferred:
Experience in performing predictive analytics in a large scale enterpriseSQL experienceProgramming experience (Python, Java, Scala, Rust, R, SAS, etc.)Experience using multiple data systems and sources (such as Hadoop, Spark, Aster, Teradata, etc.Experience with visualization tools such as Power BI, Tableau, SQL Server etc.)Demonstrated ability to build APIsExposure to version control, GIT HubExposure to Cloud computing, AWS, Azure, GCP etc.Strong analytical and problem-solving skillsStrong data visualization development experienceAbility to set priorities and plans to meet business goals and objectivesAbility to shift & balance strategic, high-level thinking with attention to detailAbility to lead, motivate & influence without having formal authorityAbility to act as a thought leader with a focus on innovative & high-quality solutionsAbility to work both independently and in a team environment with internal /external customersAbility to understand, design & implement end-to-end BI workflowsStrong organizational, planning & problem-solving skillsAbility to communicate with stakeholders and business partnersIt is the policy of Central that all recruiting, hiring, training, compensation, overtime, job classification and assignment, facilities, promotions, transfers, employee treatment and all other terms and conditions of employment shall be maintained in a manner which will not discriminate against any person because of race, color, age, sex, national origin, ancestry, religion, marital status, military status, or disability. The applicant should respond to questions on this application in a way that will not divulge such information. #LI-Hybrid #LI- AS1
Other details
Job Family Data Science
Apply Now