Job Description
At arenaflex, we're on a mission to create a world where anyone can belong anywhere. As a Staff Data Scientist working on Algorithms in Customer Support, you'll have the opportunity to collaborate with a strong team of engineers, product managers, designers, and operation agents to build scalable and robust systems that match our services to specific customer needs. You'll create meaningful impact through deep scientific understanding and by designing interventions for arenaflex's most critical challenges. **The Community You Will Join** arenaflex is a mission-driven company dedicated to helping create a world where anyone can belong anywhere. Customer Support (CS) aims to build the world's most loyal travel community through exceptional service. Improving the operational efficiency of our CS offerings will allow us to meet our customers when and how they need us most. **The Difference You Will Make** For this role, we're seeking an Operations Research expert to join the Customer Support Data Science team and have a direct opportunity to contribute, influence, and lead in the CS Personalization space by designing scalable scientific solutions for problems like: • Creating models to identify segments of users with unique CS needs and develop matching algorithms to pair those users to the right CS path • Determining allocation strategy of Make Goods budget to maximize business impact • Estimating the long-term impact of changing the CS experience for those groups of users • Providing strategic insights around tradeoffs between CS quality and cost to empower us to offer the best possible CS experience to our customers • Optimizing CS routing engines with new algorithms and simulations to validate them • Building a deep understanding of our individual agent's abilities in order to improve CS quality **A Typical Day** • Lead DS efforts building segmentation features for CS, including data exploration, optimization, and model prototyping • Work collaboratively with cross-functional partners, including software engineers, product managers, operations, and research, to refine requirements for segmentation models, drive scientific decisions, and quantify impact • Develop simulations to validate the impact of potential product and operational changes to the business • Design and utilize new experiment frameworks to measure the effectiveness of feature launches, even when A/B tests are infeasible • Regularly present work internally at monthly meetings to technical, engineering, and product stakeholders to iterate and generate excitement on roadmap progress • Bring new ideas to the team that can improve the operational efficiency of customer support at arenaflex **Your Expertise** • 9+ years of relevant industry experience (e.g., data scientist, tech lead, junior faculty) and a Master's degree or PhD in relevant fields • Strong fluency in Python, SQL, and statistical programming such as R • Familiarity with causal inference and experimentation and a desire to continue to learn • Proven ability to communicate clearly and effectively to audiences of varying technical levels • Proven mix of strong intellectual curiosity with high-level pragmatism and engagement with the technical community **Preferred Expertise** • Experience in operational research, such as queuing theory or resource allocation models • Experience in developing simulations of complex systems **Your Location** This position is US-Remote Eligible. The role may include occasional work at an arenaflex office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where arenaflex, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another arenaflex entity, your recruiter will inform you what states you are eligible to work from. **Our Commitment To Inclusion & Belonging** arenaflex is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services, and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability-inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: [insert contact email]. Please include your full name, the role you're applying for, and the accommodation necessary to assist you with the recruiting process. We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application. **How We'll Take Care of You** Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs, and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits. **Pay Range** $194,000-$240,000 USD **Why Join arenaflex?** At arenaflex, we're passionate about creating a world where anyone can belong anywhere. We believe that by working together, we can make a meaningful impact on people's lives. As a Staff Data Scientist, you'll have the opportunity to work on complex problems, collaborate with a talented team, and contribute to the development of innovative solutions that drive business results. **What We Offer** • Competitive salary and bonus structure • Equity in a rapidly growing company • Comprehensive benefits package, including medical, dental, and vision insurance • Employee Travel Credits • Opportunities for professional growth and development • Collaborative and dynamic work environment • Flexible work arrangements, including remote work options **How to Apply** If you're passionate about data science, operations research, and customer support, and you're looking for a challenging and rewarding role, we encourage you to apply. Please submit your resume, cover letter, and any relevant work samples or projects that demonstrate your expertise. We can't wait to hear from you! Join Our Team At arenaflex, we're committed to creating a world where anyone can belong anywhere. We're passionate about innovation, collaboration, and making a meaningful impact on people's lives. Our Culture We believe in the power of diverse ideas and perspectives. We strive to create a culture that is inclusive, supportive, and empowering. Our team is made up of talented individuals from a wide range of backgrounds and experiences, and we're committed to fostering a sense of belonging and community. Our Values We're guided by a set of core values that shape our approach to business and our interactions with each other. These values include: Innovation : We're passionate about innovation and experimentation. We encourage our team members to think creatively and try new approaches. Collaboration : We believe that collaboration is key to success. We work together to achieve common goals and support each other in our individual endeavors. Inclusion : We're committed to creating a culture that is inclusive and welcoming to all. We strive to foster a sense of belonging and community among our team members. Empowerment : We believe in empowering our team members to take ownership of their work and make decisions that align with our company values. Our Benefits We offer a comprehensive benefits package that includes: Competitive salary and bonus structure Equity in a rapidly growing company Comprehensive benefits package, including medical, dental, and vision insurance Employee Travel Credits Opportunities for professional growth and development Flexible work arrangements, including remote work options How to Apply If you're passionate about data science, operations research, and customer support, and you're looking for a challenging and rewarding role, we encourage you to apply. Please submit your resume, cover letter, and any relevant work samples or projects that demonstrate your expertise. 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