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

Introduction to arenaflex arenaflex is a pioneering leader in the entertainment and innovation industry, driven by a passion for creating and delivering exceptional experiences. Our mission is to push the boundaries of what is possible, and we're continually seeking innovative ways to enhance these experiences for our visitors. As a remote data entry and customer support specialist, you will be an integral part of our team, working closely with internal partners to deliver elite visitor experiences with interactive and data-driven systems across arenaflex Encounters (AX). Job Overview We are seeking a highly motivated and detail-oriented individual to join our team as a Key Information Researcher. In this role, you will assist in directing the creation, installation, and support of data analysis and the development of AI (ML) models for our attractions. This is a remote position that offers an exciting opportunity to be part of the arenaflex family from the comfort of your own home. No prior experience is necessary – just a passion for customer service and a love for all things arenaflex! Key Responsibilities Encourage and develop associations with colleagues, providing idea management and attesting 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 issues 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 supernatural 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 utilized 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 Wind stream 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 transforming 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 sound analysis. Experience with text analysis. Education A Master's degree in Data Science, Statistics, Computer Science, Computer Engineering, or a similar technical background is required. A Ph.D. in Data Science, Statistics, Computer Science, Computer 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 remote 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 for advancement and career growth. Access to the latest technologies and tools. A collaborative and dynamic work environment. 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 an integral part of our team and will have the opportunity to contribute to the development of our company culture. Compensation, Perks, and Benefits arenaflex offers a competitive compensation package, including a salary, benefits, and perks. Our benefits package includes: Health, dental, and vision insurance. 401(k) matching program. Paid time off and holidays. Flexible work arrangements. Opportunities for professional development and growth. Access to the latest technologies and tools. A dynamic and collaborative work environment. Conclusion If you are a motivated and detail-oriented individual with a passion for customer service and a love for all things arenaflex, we encourage you to apply for this exciting opportunity. As a remote data entry and customer support specialist, you will be an integral part of our team and will have the opportunity to contribute to the development of our company culture. Don't miss out on this chance to join the arenaflex family and be a part of our mission to create and deliver exceptional experiences. Apply Job! Apply for this job