**Experienced Principal Data Scientist – Artificial Intelligence, Machine Learning, and Data Analysis for Innovative Customer Experiences**
At arenaflex, we're on a mission to revolutionize the entertainment industry by harnessing the power of artificial intelligence, machine learning, and data analysis. As a pioneering entertainment and technology leader, we're driven by a passion for continuous innovation and a commitment to creating exceptional experiences for our visitors. We're seeking an experienced Principal Data Scientist to join our team and contribute to our mission of innovation and excellence. **Job Overview** As a Principal Data Scientist at arenaflex, you'll play a crucial role in guiding the development, implementation, and maintenance of data analysis and artificial intelligence (AI) models for our attractions. You'll work closely with internal partners to deliver elite visitor experiences with interactive and data-driven systems across arenaflex Encounters (DX). You'll report to the Attractions Functional Innovation team and drive business growth and innovation through data-driven insights and AI-powered solutions. **Key Responsibilities** * Develop and maintain strong relationships with colleagues, providing thought leadership and driving projects to completion efficiently and effectively * Collaborate with research teams and stakeholders to drive machine learning (ML) strategies and identify areas where business problems can be solved creatively by applying ML * Lead and work with data scientists and engineers to implement and scale ML solutions, creating magical experiences for our visitors and driving functional objectives * Drive innovation, proof-of-concepts, technology funding initiatives, and customer engagements that lead to developing top-tier AI platforms * Provide functional support and maintenance of ML-related products and services delivered by the team * Develop standard operating procedures and collaborate 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 cross-functional teams to achieve goals in improving system performance and coordinating with existing software practices that generate effective code **Essential Qualifications and Skills** To be successful in this role, you'll need: * 2+ years of experience in Python and predictive modeling, 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 management tools like Airflow or another data workflow management instrument * Experience with version control software, such as GitHub and GitLab, Model Operations, and CI/CD pipelines * Strong systems integration architecture skills, with the ability to transform new technology into business solutions * Excellent communication and interpersonal skills, with the ability to drive discovery processes with partners to identify business requirements and expected outcomes **Preferred Qualifications and Skills** While not required, the following skills and 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 related technical field is required. A Ph.D. in Data Science, Statistics, Computer Science, Computer Engineering, or a related technical field is preferred. **Career Growth Opportunities and Learning Benefits** At arenaflex, we're committed to providing our employees with opportunities for growth and development. As a Principal Data Scientist, you'll have the chance to work on complex and challenging projects, collaborating with cross-functional teams to drive business innovation and excellence. You'll also have access to training and development programs, conferences, and workshops to enhance your skills and stay up-to-date with the latest technologies and trends in the industry. **Work Environment and Company Culture** Our company culture is built on a foundation of innovation, creativity, and collaboration. We believe in fostering a work environment that is inclusive, diverse, and supportive, where employees can thrive and grow. As a Principal Data Scientist, you'll be part of a dynamic and talented team, working together to create magical experiences for our visitors. You'll also have the opportunity to work remotely and collaborate with colleagues from around the world. **Compensation, Perks, and Benefits** We offer a competitive salary and benefits package, including health insurance, retirement plans, and paid time off. You'll also have access to exclusive arenaflex perks, such as theme park admission, discounts on merchandise and dining, and more. As a Principal Data Scientist, you'll be rewarded with a salary of $32 per hour, with opportunities for growth and advancement within the company. **Conclusion** If you're a motivated and talented data scientist looking for a challenging and rewarding role, we encourage you to apply for this exciting opportunity. As a Principal Data Scientist at arenaflex, you'll have the chance to work on innovative projects, collaborate with talented teams, and contribute to the creation of magical experiences for our visitors. Don't miss out on this opportunity to join our team and take your career to the next level. Apply now and become a part of the arenaflex magic! Apply for this job