The Hartford
The Hartford seeks a Sr. Data Scientist within Personal Insurance to develop machine learning and artificial intelligence solutions across a range of strategic initiatives.
As a Sr. Data Scientist, you will participate in the entire model lifecycle partnering with cross-functional business and technical partners to understand business strategies and design, develop, implement, and evolve modeling solutions. We use the latest technologies, machine learning methods, MLOps, and agile delivery frameworks to build innovative and efficient solutions that maximize business value. This cutting edge and forward focused organization presents the opportunity for collaboration, self-organization within the team, influencing decision-making, and visibility as we focus on continuous business data delivery.**Responsibilities:** Develop knowledge of The Hartford's formal and informal structures, business processes, and data sources in your area of expertise * Learn/bring best practices to guide the direction of our Data Science and Data Engineering workflowsThis role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).**Qualifications:**
years of relevant experience recommendedProficiency in statistical modeling, inference, and building machine learning algorithms in Python Proficiency in SQL and navigating databases to extract relevant attributes Proficiency in Unix and Git Proficiency in the end-to-end modeling lifecycle, from requirements gathering to monitoring and validationExperience building modeling solutions in cloud-native environments, such as Sagemaker, a plusAble to translate complex technical topics into business solutions and strategies as well as turn business requirements into a technical solutionExperience with leading project execution and driving change to core business processes through the innovative use of quantitative techniques #J-18808-Ljbffr
As a Sr. Data Scientist, you will participate in the entire model lifecycle partnering with cross-functional business and technical partners to understand business strategies and design, develop, implement, and evolve modeling solutions. We use the latest technologies, machine learning methods, MLOps, and agile delivery frameworks to build innovative and efficient solutions that maximize business value. This cutting edge and forward focused organization presents the opportunity for collaboration, self-organization within the team, influencing decision-making, and visibility as we focus on continuous business data delivery.**Responsibilities:** Develop knowledge of The Hartford's formal and informal structures, business processes, and data sources in your area of expertise * Learn/bring best practices to guide the direction of our Data Science and Data Engineering workflowsThis role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).**Qualifications:**
years of relevant experience recommendedProficiency in statistical modeling, inference, and building machine learning algorithms in Python Proficiency in SQL and navigating databases to extract relevant attributes Proficiency in Unix and Git Proficiency in the end-to-end modeling lifecycle, from requirements gathering to monitoring and validationExperience building modeling solutions in cloud-native environments, such as Sagemaker, a plusAble to translate complex technical topics into business solutions and strategies as well as turn business requirements into a technical solutionExperience with leading project execution and driving change to core business processes through the innovative use of quantitative techniques #J-18808-Ljbffr