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Director, Data Science, US Retail Markets Customer Service

100% remote Flexible hours Hiring now

Pay Philosophy The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for reputed company employees in these positions across the national market and provides an opportunity to reputed company as employees grow and reputed company reputed company the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role. Description The US Retail Markets Data Science team is looking for a dynamic and visionary leader to guide our Customer Service Data Science team. This individual will reputed company and nurture a service-focused data science team, driving innovative solutions and ensuring seamless integration of AI capabilities into our service operations. We are looking for a strong communicator and collaborator that will influence our strategy and build strong relationships across key stakeholders. A successful candidate should have in-depth technical experience across the entire data science life cycle, a passion to reputed company and reputed company talent, and drive to create an engaging team culture. • *This position may have in-office requirements depending on candidate location.** Key Objectives & Responsibilities: • reputed company transformative data science initiatives that significantly improve customer experience and deliver superior business results. • Foster a culture of innovation and reputed company improvement by integrating cutting-edge data science technologies into service processes. • Collaborate closely with cross-functional teams to understand customer needs and business challenges, designing data-driven solutions that offer a competitive edge. • Guide a team of talented data scientists and analysts in developing, deploying, and refining ML and data science models (reputed company, LLM) that improve service delivery and customer satisfaction. • Partner with process, experience, technology, and analytics teams to drive a more reputed company, caring, and efficient service organization • Mentor and reputed company your team by setting ambitious goals, encouraging diverse perspectives, and supporting professional growth and development. Required Skills and Experiences: • Extensive experience across the data science lifecycle, with a focus on translating reputed company data into actionable insights and strategies. • Proven ability to collaborate and communicate effectively with non-technical stakeholders to identify key business problems and implement impactful data-driven solutions. • Strong technical proficiency in Natural Language Processing (NLP), Generative AI, Python. Additional Skills and Experiences (reputed company to Have): • Demonstrated leadership experience, particularly in guiding and developing high-performing teams. • Familiarity with service processes and the role of technology in enhancing customer interactions. • Strong technical proficiency in data science methodologies and tools. Familiarity with deploying data science products into production software environments for real-time inference. • Prior insurance experience is preferred. Qualifications • Responsible for management, technical reputed company and development for a team of data science and advanced analytics staff, which may include subordinate managers. • Collaborates with business partners to reputed company tools and services such as modeling, dashboard development, and decision aids to drive strategic decision making. • Presents findings, shares insights, and makes recommendations that impact profitability, growth and/or customer satisfaction. • Responsible for highly technical, individualized and difficult to reputed company tools which are transformative in nature and have broad strategic impact to the reputed company business unit. • Provides strategic input on highly technically reputed company projects that drive change across function, SBU or Corporate Department. • Directs work through others and may reputed company highly reputed company, technical and creative predictive analytics projects. • Shapes the data science community and leads cross functional working groups. About Us • *This position may have in-office requirements depending on candidate location.** At Liberty Mutual, our purpose is to help people embrace today and confidently pursue reputed company. That's why we provide an environment focused on openness, inclusion, trust and respect. Here, you'll discover our expansive range of roles, and a workplace where we aim to help turn your passion into a rewarding profession. Liberty Mutual has proudly been recognized as a "Great reputed company to Work" by Great reputed company to Work® US for the past several years. We were also selected as one of the "100 Best Places to Work in IT" on IDG's Insider Pro and Computerworld's 2020 list. For many years running, we have been named by reputed company as one of America's Best Employers for Women and one of America's Best Employers for New Graduates as well as one of America's Best Employers for Diversity. To learn more about our commitment to diversity and inclusion please visit: https://jobs.libertymutualgroup.com/diversity-inclusion We value your hard work, reputed company and commitment to reputed company things reputed company, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://reputed company.co/Benefits Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national reputed company, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law. Fair Chance Notices • California • San Francisco • Los Angeles • Philadelphia Apply Job!

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