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 commitment to innovation and excellence is inspired by the vision of our founder, who believed in continuously pushing the boundaries of what is possible. As a remote data entry and customer support specialist at arenaflex, you will be part of a dynamic team that is dedicated to making a difference in the lives of our visitors. Job Overview We are seeking a highly motivated and enthusiastic individual to join our team as a data entry and customer support specialist. This remote position 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! As a key information researcher, you will play a critical role in supporting the creation, installation, and maintenance of data analysis and AI (ML) models for our attractions. Key Responsibilities Develop and maintain 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 analytics, classification, image recognition, NLP, anomaly detection, and more, and evaluate their performance on real-world datasets. 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 to have: 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 Workflow 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 audio 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 data entry and customer support specialist, you will have access to a range of training and development opportunities, including: Professional development courses and workshops. Mentorship programs. Opportunities for career advancement. Access to cutting-edge technology and tools. A collaborative and dynamic work environment. Work Environment and Company Culture At arenaflex, we pride ourselves on our positive and inclusive company culture. Our remote work environment is designed to be flexible and supportive, with a range of benefits and perks, including: Flexible working hours. Remote work options. Comprehensive benefits package. Opportunities for socialization and team-building. A dynamic and supportive team environment. Compensation, Perks, and Benefits As a data entry and customer support specialist at arenaflex, you can expect a competitive salary and a range of benefits and perks, including: Comprehensive health insurance. Retirement savings plan. Paid time off and holidays. Opportunities for career advancement. Access to cutting-edge technology and tools. Conclusion If you are a motivated and enthusiastic 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 data entry and customer support specialist, you will be part of a dynamic team that is dedicated to making a difference in the lives of our visitors. With a range of benefits and perks, including flexible working hours, remote work options, and a comprehensive benefits package, this is a career opportunity that you won't want to miss. Apply now to join the arenaflex team and start your journey to a rewarding and challenging career. Apply for this job