Experienced Full Stack Data Analyst – AI and Machine Learning Model Development for arenaflex Encounters
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 extraordinary 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 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 pushing the limits of what's possible, and this spirit of innovation remains at the heart of our business today. We're always seeking new ways to improve our experiences for our visitors, and we're excited to have you join our team as we continue to innovate and grow.
Job Summary
We're seeking an experienced Full Stack Data Analyst to join our team and contribute to the development of AI and ML models for our attractions. As a Key Information Researcher, you'll work closely with internal partners to deliver elite visitor experiences with intelligent and data-driven systems. You'll be responsible for leading and collaborating with other specialists and data researchers to execute and scale ML solutions, driving innovation and growth, and managing functional support and maintenance of ML-related products and services.
Key Responsibilities
* Collaborate with internal partners to deliver elite visitor experiences with intelligent and data-driven systems across arenaflex Encounters (DX)
- Lead and work with other specialists and data researchers to execute and scale ML solutions
- Drive innovation and growth by developing and implementing new AI and ML models
- Manage functional support and maintenance of ML-related products and services
- 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 calculations in predictive analysis, clustering, image recognition, NLP, anomaly detection, and more
- Assess the performance of ML models on real-world datasets
- Collaborate with other teams to achieve goals in improving system performance
- 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 programming methodologies
- Master-level experience in structured and unstructured data (e.g., 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
- Strong systems integration engineering skills, able to transform 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 platform
- 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, Statistics, Mathematics, or a related technical field
- Preferred: Master's degree in Computer Science, Information Science, Statistics, Mathematics, or a related technical field
What We Offer
* A dynamic and innovative work environment
- Opportunities for career growth and professional development
- Collaborative and supportive team culture
- Flexible remote work options
- Competitive compensation and benefits package
- Access to cutting-edge technology and tools
- Opportunities to work on high-impact projects and contribute to the development of AI and ML models
How to Apply
If you're a motivated and experienced data analyst with a passion for AI and ML, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your experience and qualifications for the role. We can't wait to hear from you! Apply for this job