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Experienced Full Stack Data Researcher – AI Model Development and Customer Support

Work from home Full-time role Hiring

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 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 continuous innovation and pushing the limits of what's possible, and this spirit remains at the heart of our business today. We're committed to making a positive impact on our visitors and the communities we serve.

Job Summary

We're seeking an experienced Full Stack Data Researcher to join our team. As a Full Stack Data Researcher, you'll be responsible for driving the development and implementation of AI models, working with data scientists and engineers to create innovative solutions, and collaborating with cross-functional teams to deliver exceptional visitor experiences. This is an exciting opportunity to be part of the arenaflex family and contribute to the development of cutting-edge AI technologies.

Key Responsibilities

* Collaborate with data scientists and engineers to develop and implement AI models that drive business outcomes and improve visitor experiences

  • Work with cross-functional teams to design and implement data-driven solutions that meet business requirements
  • Develop and maintain data pipelines, data warehouses, and data visualizations to support business intelligence and decision-making
  • Conduct data analysis and machine learning experiments to identify areas for improvement and develop recommendations for business leaders
  • Collaborate with data engineers to design and implement data architectures that support scalable and efficient data processing
  • Develop and maintain data quality and data governance processes to ensure data accuracy and integrity
  • Work with data scientists to develop and implement predictive models, clustering algorithms, and other machine learning techniques to drive business outcomes
  • Collaborate with data engineers to develop and implement data pipelines, data warehouses, and data visualizations to support business intelligence and decision-making
  • Develop and maintain data visualizations and reports to support business intelligence and decision-making
  • Collaborate with cross-functional teams to design and implement data-driven solutions that meet business requirements
  • Develop and maintain data quality and data governance processes to ensure data accuracy and integrity

Essential Qualifications

* 2+ years of experience in Python and predictive modeling, including experience with TensorFlow, SparkMLib, PySpark, Light, MXNet, and other machine learning frameworks

  • 2+ years of experience in cloud platforms, including AWS and GCP
  • Proficiency in SDLC, QA cycles, and Agile software development methodologies
  • Master's degree in Computer Science, Data Science, Statistics, or related field
  • Experience with data visualization tools, such as Tableau, Power BI, or D3.js
  • Experience with data governance and data quality processes
  • Strong understanding of data architecture and data engineering principles
  • Experience with data pipelines, data warehouses, and data visualizations
  • Strong communication and collaboration skills, with the ability to work with cross-functional teams

Preferred Qualifications

* Experience with Docker, Kubernetes, and containerization

  • Experience with cloud platforms, including GCP or other cloud providers
  • Experience with Atlassian tools, such as Jira and Confluence
  • Experience with agile development methodologies and Scrum
  • Experience with automated testing, continuous integration, and continuous deployment
  • Experience with data representation and data validation tools, such as Splunk, Plotly, or Tableau
  • Experience with natural language processing and text analysis
  • Experience with audio analysis and other machine learning techniques

What We Offer

* Competitive salary and benefits package

  • Opportunity to work with a dynamic and innovative company that's pushing the boundaries of what's possible
  • Collaborative and supportive work environment
  • Professional development and growth opportunities
  • Flexible work arrangements, including remote work options
  • Access to cutting-edge technologies and tools
  • Opportunity to work on high-impact projects that drive business outcomes and improve visitor experiences

How to Apply

If you're passionate about data science, machine learning, and customer support, and you're looking for a challenging and rewarding career opportunity, we encourage you to apply. Please submit your resume and cover letter to [arenaflex careers page](https://arenaflex.com/careers). We can't wait to hear from you! Apply for this job

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