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 continuously innovating and pushing the limits of what's possible, and this spirit remains at the heart of our business today. We're a company that's always looking for new ways to improve and enhance our experiences for our visitors.
**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 be responsible for leading and collaborating with cross-functional teams to execute and scale ML solutions that create magical experiences for our visitors and push the boundaries of functional objectives. You'll also be responsible for driving innovation, idea validation, and client communications that lead to growing top-tier AI stages.
**Key Responsibilities**
* Collaborate with internal partners to drive ML methodologies and identify areas where business issues can be addressed creatively by applying ML.
* Lead and work with different specialists and data researchers to execute and effectively scale ML solutions for creating magical experiences for our visitors and pushing the boundaries of functional objectives.
* Drive innovation, idea validation, and client communications that lead to growing 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 different 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 with predictive modeling experiences, such as TensorFlow, SparkMLib, PySpark, Light, MXNet, and more.
* 2+ years of master-level experience in cloud platforms like AWS and GCP.
* Proficient in SDLC, QA cycles, and Article Arranged Programming Configuration Examples.
* 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 Wind stream 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 expected outcomes, relational abilities, 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 platform.
* Experience with Atlassian tools like Jira and Confluence.
* Experience with Agile development techniques.
* Experience with automated testing, continuous integration, and continuous development.
* Experience with data representation and data validation tools (e.g., Splunk, Plotly, Tableau).
* Experience with audio analysis.
* Experience with text analysis.
**Education**
* Bachelor's of Science in Computer Science, Data Science, Statistics, Mathematics, Software Engineering, or similar technical foundation.
* Preferred: Ph.D. in Computer Science, Data Science, Statistics, Mathematics, Software Engineering, or similar technical foundation.
**What We Offer**
* A dynamic and innovative work environment that's always pushing the boundaries of what's possible.
* Opportunities for career growth and professional development.
* A competitive salary and benefits package.
* A comprehensive training program that includes onboarding, mentorship, and ongoing education.
* A collaborative and supportive team environment that encourages creativity and innovation.
* Flexible work arrangements, including remote work options.
* Access to cutting-edge technology and tools.
* Opportunities for professional networking and community involvement.
**How to Apply**
If you're a motivated and talented individual who's passionate about AI and ML, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter that highlights your experience and qualifications. We can't wait to hear from you!