The Hartford
seeks a Data Scientist within
operational efficiency & customer experience, and utilizesAs a 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:** Participate in reviewing work with business partners and team members on an ongoing basis to calibrate deliverables against expectationsDevelop knowledge of The Hartford's formal and informal structures, business processes, and data sources in your area of expertise * Provide economic, qualitative, and statistical support to ensure accuracy of characteristics and metrics being applied to business decisionsThis 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 Experience in statistical modeling, inference, and building machine learning algorithms in Python Experience in SQL and navigating databases to extract relevant attributes Experience in Unix and Git Experience in the end-to-end modeling lifecycle, from requirements gathering to monitoring and validation #J-18808-Ljbffr
operational efficiency & customer experience, and utilizesAs a 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:** Participate in reviewing work with business partners and team members on an ongoing basis to calibrate deliverables against expectationsDevelop knowledge of The Hartford's formal and informal structures, business processes, and data sources in your area of expertise * Provide economic, qualitative, and statistical support to ensure accuracy of characteristics and metrics being applied to business decisionsThis 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 Experience in statistical modeling, inference, and building machine learning algorithms in Python Experience in SQL and navigating databases to extract relevant attributes Experience in Unix and Git Experience in the end-to-end modeling lifecycle, from requirements gathering to monitoring and validation #J-18808-Ljbffr