At arenaflex, we're a dynamic and innovative company that's passionate about creating exceptional experiences for our visitors. Our commitment to innovation and excellence is rooted in the values of Walt Disney, who believed in pushing the boundaries of what's possible. As a Key Information Researcher in our team, you'll play a crucial role in driving the development and implementation of AI and machine learning models that enhance our attractions and create unforgettable experiences for our guests.
**Join the arenaflex Family and Shape the Future of Entertainment**
We're excited to offer a remote opportunity for a talented and motivated individual to join our team as a Full Stack Data Entry Specialist. This role is perfect for someone who's passionate about customer service, data analysis, and machine learning. With no prior experience necessary, we're looking for someone who's eager to learn and grow with our company.
**Key Responsibilities:**
* Collaborate with colleagues to drive the development and implementation of AI and machine learning models that enhance our attractions and create exceptional experiences for our guests.
* Work with internal partners to design and implement data-driven solutions that meet business needs and drive innovation.
* Lead and work with cross-functional teams to execute and scale machine learning solutions that deliver supernatural experiences for our visitors and push the boundaries of functional objectives.
* Drive innovation, idea validation, and proof-of-concept development that leads 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.
**Essential 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 (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 deliver results-driven 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 sound analysis.
* Experience with text analysis.
**Education:**
* Bachelor's or Master's degree in Computer Science, Information Science, Statistics, Mathematics, or a related technical field.
* Ph.D. in Computer Science, Information Science, Statistics, Mathematics, or a related technical field (desired).
**What We Offer:**
* Competitive salary and benefits package.
* Opportunity to work with a dynamic and innovative team.
* Flexible remote work arrangement.
* Professional development and growth opportunities.
* Access to cutting-edge technology and tools.
* Collaborative and inclusive work environment.
**How to Apply:**
If you're passionate about data analysis, machine learning, and customer service, and you're looking for a challenging and rewarding opportunity, we encourage you to apply for this exciting role. Please submit your resume and a cover letter explaining why you're the perfect fit for this position. We can't wait to hear from you!
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