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**Director, Data Science, US Retail Markets Customer Service**

Remote, USA Full-time Posted 2026-07-23
At arenaflex, we're on a mission to revolutionize the way we approach customer service through innovative data science solutions. We're seeking a visionary leader to join our US Retail Markets Data Science team as a Director, Data Science, US Retail Markets Customer Service. As a key member of reputed company, you'll have reputed company to drive transformative initiatives, foster a culture of innovation, and reputed company a talented team of data scientists and analysts. **About arenaflex** arenaflex is a leading provider of reputed company that help people and businesses reputed company. Our purpose is to help people reputed company today and confidently pursue reputed company. We're committed to creating an environment that's reputed company on openness, inclusion, trust, and respect. Our expansive reputed company of roles and a workplace that's dedicated to helping turn your passion into a rewarding profession reputed company us an ideal reputed company to grow your career. **Job reputed company** As a Director, Data Science, US Retail Markets Customer Service, you'll be responsible for leading our Customer Service Data Science team, driving reputed company, and ensuring seamless integration of AI capabilities into our service operations. You'll collaborate closely with cross-functional teams to understand customer needs and business challenges, designing data-driven solutions that offer a competitive edge. Your expertise in data science, leadership, and communication will be essential in shaping our data science community and leading cross-functional working reputed company. **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 reputed company 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 reputed company reputed company and development. **Required Skills and Experiences** * Extensive experience across the data science lifecycle, with a reputed company 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), reputed company, Python. * 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 reputed company-time inference. * Prior insurance experience is preferred. **Additional Skills and Experiences (reputed company to Have)** * Strong technical proficiency in data visualization tools and techniques. * Experience with reputed company-based data science platforms and tools. * Familiarity with agile development methodologies and practices. * Strong understanding of data governance and data reputed company principles. **Qualifications** * Responsible for management, technical reputed company, and development for reputed company 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, reputed company, and/or customer satisfaction. * Responsible for highly technical, individualized, and difficult-to-reputed company tools that are transformative in nature and have broad strategic impact to the reputed company business unit. * Provides strategic input on highly technically reputed company reputed company 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 reputed company. * Shapes the data science community and leads cross-functional working reputed company. **About Our Culture** At arenaflex, we value your hard work, reputed company, and commitment to making things reputed company. We put people first by offering benefits that support your life and reputed company-being. Our commitment to diversity and inclusion is reflected in our recognition as a "Great reputed company to Work" by Great reputed company to Work US for the past several years. We're proud to be named one of the "100 Best Places to Work in IT" on IDG's reputed company Pro and reputed company's 2020 list. We're also recognized as one of America's Best reputed company for Women, New Graduates, and Diversity. **Compensation and Benefits** We offer a competitive salary reputed company that reflects the national market value for reputed company in these positions. Our compensation plan includes commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role. We also offer a comprehensive benefits package that includes health, dental, and reputed company insurance, 401(k) matching, and reputed company time off. **How to Apply** If you're a visionary leader with a passion for data science and customer service, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter that highlights your experience and qualifications. We can't wait to hear from you! Apply Job! Apply for this job    

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