Senior Data Scientist job opportunity at The Hartford.

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DatePosted 30+ Days Ago bot
The Hartford Senior Data Scientist
Experience: General
Pattern: full-time
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loacation Hartford, CT, United States Of America
loacation Hartford, CT....United States Of America

Sr Data Scientist - GD07AE We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.              The Hartford   seeks a S enior   Data Scientist   Employee Benefits Data Science, AI, and Analytics (DSAIA)   to   develop machine learning solutions supporting actuarial pricing , underwriting,   and reserving modeling.   The   Employee Benefits DSAIA   team is a   rapidly growing team   focused on   providing   deep insight , automation, and augmentation   across the policy lifecycle for Employee Benefits customers and internal business stakeholders .    The   EB DSAIA team supports a portfolio across the EB lifecycle, from sales and underwriting to policy installation, renewal, and everything in between .     As a S enior   Data Scientist   in the Employee Benefits DSAIA team , you will   participate   in the entire   solution   lifecycle .   You’ll   partner with cross-functional business and technical partners to understand business strategies and design, develop, implement, and evolve modeling solutions. We use the latest   generative   models , machine learning methods,   MLOps   deployment methods , 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   value   delivery.   This 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). Responsibilities:   Create   statistical   models , algorithms,   and machine learning techniques to achieve financial   objectives , solve   business   problems, and   identify   long term opportunities   that improve   the customer   journey   Collaborate and partner with business stakeholders in a way that supports   and   sustains a culture that treats analytics as a corporate asset   Partner   with Actuarial and Data teams to   monitor   and manage the End-to-End lifecycle of the rating models and underlying data which   feeds   them    Lead execution of modeling and machine learning projects that focus on internal team collaboration with Data Scientists, Data Engineers, and Product Owners    Assist   in   identifying   and assessing the value of new data sources and analytical techniques to ensure ongoing competitive advantage    Contribute to successful implementation of   strategies   to achieve targeted business objectives   Develop knowledge of   The Hartford's   formal and informal structures, business processes, and data sources in your area of expertise   Remain current on research techniques and become familiar with   state-of-the-art   tools   in generative   AI   Provide economic, qualitative, and statistical support to ensure accuracy of characteristics and metrics being applied to business decisions   Learn/bring   best practices to guide the direction of our Data Science and Data Engineering workflows     Qualifications:   5 + years of relevant   industry   experience   recommended   Master’s or Ph.D. in Statistics, Applied Mathematics, Quantitative Economics, Actuarial Science,   Data Science, Computer Science, or   a similar analytical   field ;   or progress towards a relevant professional designation    Proficiency   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 validation   Experience   building modeling solutions in cloud-native environment s , such as Sage M aker, a plus   Able to communicate effectively with both technical and non-technical teams    Able to translate complex technical topics into business solutions and strategies as well as turn business requirements into a technical solution   Experience with leading project execution and driving change to core business processes through the innovative use of quantitative techniques   Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position. Compensation The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is: $110,720 - $166,080 Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age About Us  |  Our Culture  |  What It’s Like to Work Here  |  Perks & Benefits

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