Experienced Data Entry and Customer Support Specialist – Remote Work Opportunity with arenaflex

Introduction to arenaflex arenaflex is a leading entertainment and innovation pioneer, driven by the passion to continuously grow and push the boundaries of what is possible. Our commitment to creating and delivering exceptional experiences is at the heart of our business, and we are constantly seeking new ways to enhance these experiences for our visitors. As a remote Data Entry and Customer Support Specialist, you will have the exciting opportunity to be part of the arenaflex family from the comfort of your own home, with no prior experience necessary – just a passion for customer service and a love for all things arenaflex! Job Overview In this role, you will be responsible for supporting the creation, implementation, and maintenance of data analysis and improvement of AI (ML) models for our attractions. You will work closely with internal partners to deliver elite visitor experiences with interactive and data systems across arenaflex Encounters (DX). As a Key Information Researcher, you will report to Attractions Functional Innovation and play a key role in driving business outcomes through data-driven insights and innovative solutions. Key Responsibilities Encourage and develop associations with colleagues, provide idea management, and demonstrate influence by driving activities to the end efficiently and effectively. Engage with research and colleagues, assist with driving ML strategies, and identify areas where business problems can be solved creatively by applying ML. Lead and collaborate with different specialists and data researchers to implement and successfully scale ML solutions to create magical experiences for our visitors and push the limits of functional objectives. Drive innovation, proof of concepts, technology cash drives, and customer interactions that lead to growing top-tier AI platforms. Manage functional support and maintenance of ML-related products and services delivered by the group. Build standard techniques used in daily operations and work with specialty units to design, plan, and execute large-scale projects in the AI space. Productionize ML algorithms in predictive analysis, classification, image recognition, NLP, anomaly detection, and more, and evaluate their performance on real-world data sets. Collaborate with different teams to achieve goals in improving system performance and coordinate with existing software practices that generate effective code, including automated testing, continuous integration, code style consistency, and code reviews. Essential Qualifications and Abilities To be successful in this role, you will need: 2+ years of experience in Python and with predictive modeling experiences, such as TensorFlow, SparkMLib, PySpark, Light, MXNet, and more. 2+ years of experience in cloud platforms like AWS and GCP. Proficiency in SDLC, QA cycles, and Object-Oriented Programming Design Patterns. Experience with structured and unstructured data (i.e., images, video, text, audio, etc.) and SQL relational and non-relational databases. 2+ years of experience with Airflow or another data workflow management tool. Experience with version control software, such as GitHub and GitLab, Model Operations, and CI/CD pipelines. Experience in driving discovery processes with partners to identify business requirements and the expected outcome, strong communication skills, and determination to complete tasks. Solid systems integration architecture skills, capable of turning new tech into business solutions. Preferred Qualifications While not required, the following qualifications are preferred: Experience with Docker. Experience with control systems. Experience with Kubernetes. Experience with cloud solutions in GCP or another cloud platform. Experience with Atlassian Tools like Jira and Confluence. Experience with Agile development methodologies. Experience with automated testing, continuous integration, and continuous development. Experience with data visualization and data monitoring tools (e.g., Splunk, Plotly, Tableau). Experience with audio analysis. Experience with text analysis. Education A Master's degree in Data Science, Statistics, Computer Science, Computer Engineering, Software Engineering, or a similar technical background is required. A Ph.D. in Data Science, Statistics, Computer Science, Computer Engineering, Software Engineering, or a similar technical background is preferred. Career Growth Opportunities and Learning Benefits At arenaflex, we are committed to the growth and development of our employees. As a Data Entry and Customer Support Specialist, you will have access to a wide range of training and development opportunities, including: Professional development courses and workshops. Mentorship programs. Opportunities to work on high-impact projects. Collaboration with experienced professionals in the field. Work Environment and Company Culture arenaflex is a dynamic and innovative company that values creativity, diversity, and inclusion. Our company culture is built on a foundation of respect, empathy, and open communication. As a remote employee, you will be part of a virtual team that is passionate about delivering exceptional experiences for our visitors. You will have the opportunity to work with a talented team of professionals who are dedicated to making a positive impact in the entertainment industry. Compensation, Perks, and Benefits arenaflex offers a competitive compensation package, including a salary range that is commensurate with experience. In addition to a competitive salary, we offer a range of perks and benefits, including: Comprehensive health insurance. Retirement savings plan. Professional development opportunities. Access to exclusive arenaflex events and experiences. Conclusion If you are a motivated and enthusiastic individual who is passionate about customer service and data analysis, we encourage you to apply for this exciting opportunity to join the arenaflex team. As a remote Data Entry and Customer Support Specialist, you will have the chance to work with a talented team of professionals who are dedicated to delivering exceptional experiences for our visitors. Don't miss out on this opportunity to be part of a dynamic and innovative company that values creativity, diversity, and inclusion. Apply now to join the arenaflex team and start your journey to a rewarding and challenging career! Apply for this job