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Experienced Full Stack Data Analyst – AI Model Development and Deployment for arenaflex Encounters

Work from home Full-time role Hiring

At arenaflex, we're on a mission to create and deliver extraordinary experiences for our visitors. As a Key Information Researcher in our team, you'll play a crucial role in driving the development, implementation, and support of data analysis and AI (Machine Learning) model improvement for our attractions. We're looking for a talented and passionate individual to join our team and help us push the boundaries of what's possible.

About arenaflex

arenaflex is a leading entertainment and innovation company that's dedicated to making a lasting impact on the world. Our founder, Walt, was a visionary who believed in the power of innovation and continuous improvement. Today, we're carrying on that legacy by pushing the limits of what's possible and creating experiences that inspire and delight our visitors. We're a company that's passionate about making a difference, and we're looking for like-minded individuals to join our team.

Job Summary

As a Key Information Researcher, you'll be responsible for leading the development, implementation, and support of data analysis and AI (Machine Learning) model improvement for our attractions. You'll work closely with internal partners to deliver exceptional visitor experiences through intelligent and data-driven systems across arenaflex Encounters (DX). You'll report to Attractions Functional Innovation and will be part of a dynamic team that's passionate about innovation and making a difference.

Responsibilities

* Collaborate with research and development teams to drive the development and implementation of AI (Machine Learning) models for our attractions

  • Identify areas where business challenges can be addressed creatively by applying AI (Machine Learning) techniques
  • Lead and work with cross-functional teams of experts and data scientists to execute and scale AI (Machine Learning) solutions that create magical experiences for our visitors and push the boundaries of functional objectives
  • Drive innovation, idea validation, innovation funding, and customer engagement that leads to growing top-tier AI (Machine Learning) stages
  • Manage functional support and maintenance of AI (Machine Learning)-related products and services delivered by the team
  • Develop standard techniques used in everyday tasks and work with specialty units to plan, design, and execute large-scale projects in the AI (Machine Learning) space
  • Productionize AI (Machine Learning) models in predictive analytics, clustering, image recognition, NLP, anomaly detection, and more, and assess their performance on real-world datasets
  • Collaborate with cross-functional teams to achieve goals in improving system performance and coordinate with existing software practices that produce high-quality 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 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 the expected outcome major areas of strength for and, 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 arrangements 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 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 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 passionate about making a difference

  • Opportunities for career growth and professional development
  • A comprehensive benefits package that includes medical, dental, and vision insurance, 401(k) matching, and paid time off
  • A competitive salary and bonus structure
  • A fun and collaborative work environment that's passionate about innovation and making a difference

How to Apply

If you're a talented and passionate individual who's looking for a challenging and rewarding career opportunity, we encourage you to apply for this role. Please submit your resume and a cover letter that outlines your experience and qualifications for this position. We can't wait to hear from you! Apply Now! Apply for this job

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