Experienced Full Stack Data Analyst – AI Model Development and Deployment
At arenaflex, we're a dynamic and innovative company that's always pushing the boundaries of what's possible. Our mission is to create and deliver exceptional experiences for our visitors, and we're constantly seeking new ways to improve these experiences. As a Key Information Researcher in our team, you'll play a crucial role in directing the creation, implementation, and support of data analysis and AI (ML) model development for our attractions. You'll work closely with internal partners to deliver elite visitor experiences with intelligent and data-driven systems across arenaflex's Disney Encounters (DX).
About arenaflex
arenaflex is a leading entertainment and innovation company that's dedicated to making and delivering extraordinary experiences. Our founder, Walt, was passionate about innovation and continuous improvement, and this spirit remains at the heart of our business today. We're committed to creating a workplace culture that's inclusive, supportive, and empowering, where our employees can grow and thrive.
Job Summary
We're seeking an experienced Full Stack Data Analyst to join our team and contribute to the development and deployment of AI models for our attractions. As a Full Stack Data Analyst, you'll work closely with our data science team to design, implement, and maintain data-driven systems that deliver exceptional visitor experiences. You'll be responsible for leading and collaborating with cross-functional teams to execute and scale ML solutions, driving innovation and growth through data-driven insights.
Key Responsibilities
* Collaborate with data scientists and engineers to design, implement, and maintain data-driven systems that deliver exceptional visitor experiences
- Lead and work with cross-functional teams to execute and scale ML solutions, driving innovation and growth through data-driven insights
- Drive innovation, idea generation, and proof-of-concept development to grow top-tier AI stages
- Manage functional support and maintenance of ML-related products and services delivered by the team
- Build standard techniques used in everyday tasks and work with specialty units to plan, design, and execute large-scale projects in the AI space
- Productionize ML models in predictive analysis, clustering, image recognition, NLP, anomaly detection, and more, and assess their performance on real-world datasets
- Collaborate with other teams to achieve goals in improving system performance and coordinate with existing software practices that produce efficient code, including automated testing, continuous integration, code style consistency, and code reviews
Required Capabilities and Abilities
* 2+ years of experience in Python and predictive modeling, including TensorFlow, SparkMLib, PySpark, Light, MXNet, and more
- 2+ years of experience in cloud platforms like AWS and GCP
- Proficiency in SDLC, QA cycles, and Agile development methodologies
- Master-level experience in structured and unstructured data (i.e., images, video, text, etc.) and SQL social and non-social datasets
- 2+ years of experience with Windstream or another data workflow management tool
- Experience with version control software, like GitHub and GitLab, Model Operations, and CI/CD pipelines
- Experience in driving discovery processes with partners to identify business requirements and desired outcomes, and determination to complete responsibilities
- Strong systems integration engineering skills, capable of transforming new tech into business solutions
Preferred Capabilities
* Experience with Docker
- Experience with control frameworks
- Experience with Kubernetes
- Experience with cloud platforms in GCP or another cloud stage
- Experience with Atlassian tools like Jira and Confluence
- Experience with Agile development methodologies
- Experience with automated testing, continuous integration, and continuous deployment
- Experience with data representation and data validation tools (e.g., Splunk, Plotly, Tableau)
- Experience with audio analysis
- Experience with text analysis
Education
* Bachelor's degree in Computer Science, Information Science, Mathematics, Statistics, or a related technical field
- Preferred: Master's degree in Computer Science, Information Science, Mathematics, Statistics, or a related technical field
What We Offer
* Competitive salary and benefits package
- Opportunity to work on cutting-edge AI and ML projects
- Collaborative and dynamic work environment
- Professional development and growth opportunities
- Flexible remote work arrangement
- Access to the latest technologies and tools
- Recognition and rewards for outstanding performance
How to Apply
If you're passionate about AI, ML, and data-driven innovation, and you're looking for a challenging and rewarding role, we encourage you to apply. Please submit your resume and a cover letter explaining why you're the ideal candidate for this role. We can't wait to hear from you! Apply for this job