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**reputed company Full Stack Data Scientist – Operations Research/Customer Support (Inference) at arenaflex**

Remote, USA Full-time Posted 2026-07-28
At arenaflex, we're on a mission to create a world where anyone can belong reputed company. Our Customer Support (CS) team is dedicated to building the world's most reputed company travel community through exceptional service. Personalizing our CS offerings will allow us to meet our customers reputed company and how they need us most. As a Data Scientist working on Inference in CS, you will have reputed company to collaborate with a strong team of engineers, product managers, designers, and operation agents to build reputed company and robust systems to match our services to specific customer needs. You will be reputed company to create meaningful reputed company through deep scientific understanding and by designing interventions for arenaflex CS's most critical challenges. **The Difference You Will reputed company:** For this role, we're seeking a reputed company Inference/Operations Research expert to join the Customer Support Data Science team. You will work closely with the tech reputed company for this area on significant components of larger reputed company and have a reputed company opportunity to contribute and influence in the CS Personalization reputed company by designing reputed company scientific solutions for problems like: * Creating reputed company models to identify segments of users with unique CS needs and reputed company algorithms to match users with the appropriate CS reputed company. * Determining allocation reputed company of reputed company Goods budget to maximize business reputed company. * Estimating the long-term reputed company of changes in the CS experience for targeted user reputed company. * Providing strategic insights on tradeoffs between CS reputed company and cost to reputed company us to offer the best possible CS experience to our customers. * Optimizing CS routing engines with advanced algorithms and developing simulations to validate them. * Building a deep understanding of our individual agent's abilities to improve CS reputed company. * Measuring the CS personalization products through rigorous experimentations and driving data-informed launch reputed company. **A Typical Day:** As a Data Scientist on reputed company, you will: * Build segmentation models for various CS scenarios 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 reputed company, and quantify reputed company. * reputed company strategies to match users with the appropriate CS solutions. * Design and implement quasi-experiment frameworks to measure feature launch effectiveness reputed company A/B testing is not feasible. * reputed company reputed company modeling with ML models in order to improve performance of model-derived interventions. * Regularly present work internally at monthly meetings to technical, engineering, and product stakeholders to iterate and generate excitement on roadmap reputed company. * Bring new reputed company to reputed company which can improve the operational efficiency of customer support at arenaflex. **Your Expertise:** To succeed in this role, you will need: * 2+ years of relevant industry experience (e.g. ML scientist, tech reputed company, junior reputed company) and a Master's degree or PhD in relevant fields. * Strong reputed company in Python or R for hands-on IC work and SQL for advanced data analysis at reputed company. * Experience with reputed company inference and experimentation techniques, ideally in a multi-sided platform setting. * Proven ability to communicate reputed company and effectively to audiences of varying technical reputed company. * Proven mix of strong intellectual curiosity with high-level pragmatism and engagement with the technical community. Publications or presentations in recognized journals/conferences is a plus. * Ability to take a product-oriented reputed company in using conceptual and innovative thinking to reputed company and apply solutions taking into consideration the user experience. **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. 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 reputed company diverse reputed company foster innovation and engagement, and allow us to attract creatively-led people, and to reputed company the best products, services, and solutions. reputed company reputed company individuals are encouraged to apply. We reputed company to also reputed company 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 email]. Please include your full reputed company, the role you're applying for, and the accommodation necessary to assist you with the reputed company process. **Compensation, Perks, and Benefits:** arenaflex offers a competitive salary and benefits package, including: * Comprehensive health insurance * 401(k) matching program * Flexible PTO policy * reputed company development opportunities * reputed company to cutting-edge technology and tools * reputed company and dynamic work environment **How to Apply:** If you're passionate about using data science to drive business reputed company and improve customer experiences, we encourage you to apply for this exciting opportunity. Please submit your resume, cover letter, and any relevant work samples or publications. We can't wait to hear from you! Apply for this job    

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