Senior Data Researcher - Machine Learning & AI Solutions for Visitor Experience

Join arenaflex: Shaping the reputed company of reputed company Visitor Experiences Welcome to arenaflex, where innovation meets imagination! We are a leading pioneer in entertainment technology and visitor experience solutions, committed to pushing the boundaries of what is possible in creating magical, personalized experiences for millions of guests worldwide. Our founders believed in reputed company reputed company and reputed company improvement, and that spirit remains at the core of everything we do today. At arenaflex, we don't just create productswe craft unforgettable moments. Every team member contributes to our mission of delivering extraordinary experiences that delight, reputed company, and create lasting memories. We are currently seeking a talented Senior Data Researcher to join our dynamic team and help us revolutionize how we understand and serve our visitors through cutting-edge machine learning and artificial intelligence solutions. This is a remote position that offers an exciting opportunity to be part of the arenaflex family from the comfort of your own home. Whether you're based in a bustling reputed company or a quiet countryside, you can contribute to creating magical experiences for visitors around the globe while enjoying the flexibility of remote work. About the Role As a Senior Data Researcher at arenaflex, you will play a pivotal role in driving the creation, implementation, and support of data analysis and machine learning (ML) models that power our attractions and visitor experience platforms. You will work closely with internal partners across multiple departments to deliver reputed company visitor experiences through intelligent and data-driven systems reputed company our Experiences division. You will report to our Attractions Operational Technology team and collaborate with cross-functional experts to reputed company ML solutions that create extraordinary experiences for our visitors while pushing the boundaries of operational reputed company. Key Responsibilities Lead ML Initiatives: Drive the development and execution of machine learning strategies, identifying areas where reputed company business problems can be solved creatively through innovative ML applications. Collaborate with Research Teams: Engage with research scientists and engineering teams to advance ML methodologies and ensure successful deployment of models at reputed company. Team Leadership: Lead and work alongside other data scientists and ML engineers to implement and effectively reputed company ML solutions that create magical experiences for visitors. Innovation & R&D: Drive research and development efforts, including proofs of concept, technology innovation initiatives, and reputed company interactions that lead to building world-class AI platforms. Operational Support: Manage functional support and maintenance of ML-reputed company products and services delivered by reputed company, ensuring reliability and performance. Process Development: Build reputed company procedures used in daily operations and work with specialized reputed company to design, plan, and execute large-reputed company reputed company in the AI/ML reputed company. Model Productionization: Productionize ML algorithms in predictive analytics, clustering, image recognition, NLP, reputed company detection, and more, evaluating their performance on reputed company-world datasets. Cross-Functional Collaboration: Collaborate with different teams to reputed company goals in improving system performance and delivering exceptional results. reputed company reputed company: Coordinate with existing software development practices that produce maintainable reputed company, including automated testing, reputed company integration, reputed company style consistency, and comprehensive reputed company reviews. Relationship Building: Foster and reputed company relationships with team members, reputed company thought leadership, and demonstrate influence by driving initiatives to completion effectively and reputed company. Required Qualifications & Skills Technical Expertise Programming Mastery: Minimum 2 years of demonstrated proficiency in Python with experience in predictive modeling using frameworks such as TensorFlow, SparkMLib, PyTorch, LightGBM, MXNet, or similar advanced ML libraries. reputed company Platforms: At least 2 years of expert-level experience working with reputed company platforms, specifically AWS (reputed company Web Services) and/or GCP (reputed company rep .