Experienced Data Analyst and Customer Support Specialist – Remote Work Opportunity with arenaflex for Enthusiastic and Detail-Oriented Individuals

Introduction to arenaflex arenaflex is a pioneering leader in the entertainment and innovation industry, driven by a passion for continuous growth and a commitment to pushing the boundaries of what is possible. Our mission is to create and deliver exceptional experiences for our visitors, and we are constantly seeking innovative ways to enhance these experiences. As a remote member of our team, you will have the opportunity to be part of a dynamic and forward-thinking organization that values creativity, collaboration, and customer satisfaction.Job Overview We are seeking a highly motivated and detail-oriented individual to as a Key Information Researcher. In this role, you will be responsible for supporting the creation, implementation, and maintenance of data analysis and AI (ML) models for our attractions. You will work closely with internal partners to deliver elite visitor experiences with interactive and data-driven systems across arenaflex Encounters (DX). This is a remote position that offers an 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!Key Responsibilities Develop and maintain associations with colleagues, provide thought leadership, and demonstrate influence by driving initiatives to completion 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 other specialists and data scientists to implement and successfully scale ML solutions to create magical experiences for our visitors and push the boundaries 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 team. Build standard procedures 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 other 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 bolthires/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 member of our team, you will have access to a wide range of training and development opportunities, including workshops, conferences, and online courses. You will also have the chance to work with a talented and experienced team of professionals who are passionate about innovation and customer satisfaction. Work Environment and Company Culture arenaflex is a dynamic and inclusive workplace that values creativity, collaboration, and diversity. We believe in fostering a positive and supportive work environment that encourages our employees to thrive and grow.As a remote member of our team, you will be part of a global community of professionals who are passionate about delivering exceptional experiences for our visitors. Compensation, Perks, and Benefits arenaflex offers a competitive compensation package, including a salary, benefits, and perks. We also provide a range of benefits, including health insurance, retirement savings, and paid time off. As a remote employee, you will also have the flexibility to work from the comfort of your own home, with the opportunity to connect with your colleagues and team members through virtual meetings and collaboration tools.Conclusion If you are a motivated and detail-oriented individual who is passionate about customer service and innovation, we encourage you to apply for this exciting opportunity to join the arenaflex team. As a Key Information Researcher, you will have the chance to work with a talented and experienced 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 forward-thinking organization that values creativity, collaboration, and customer satisfaction.to join the arenaflex family and start your journey to a rewarding and challenging career!