Introduction to arenaflex
arenaflex is a pioneering entertainment and technology leader, driven by the passion to continuously innovate and push the boundaries of what is possible. Our commitment to creating and delivering exceptional experiences remains at the core of our business today. We are dedicated to making a lasting impact on our visitors' lives by providing them with unique and interactive experiences. To achieve this, we are seeking a highly skilled Principal Data Scientist to join our team and contribute to the development, implementation, and maintenance of data analysis and artificial intelligence (AI) models for our attractions.
Job Summary
We are looking for an experienced Principal Data Scientist to lead the creation, implementation, and support of data analysis and AI models for our attractions. As a key member of our team, you will work closely with internal partners to deliver elite visitor experiences with interactive and data-driven systems across arenaflex Encounters (DX). You will report to the Attractions Functional Innovation team and play a crucial role in driving business growth and improving functional objectives.
Key Responsibilities
- Develop and maintain associations with colleagues, provide thought leadership, and demonstrate influence by driving initiatives to completion efficiently and effectively.
- Engage with research and colleagues, assist in driving machine learning (ML) strategies, and identify areas where business problems can be solved creatively by applying ML.
- Lead and collaborate with other scientists and data researchers to implement and successfully scale ML solutions to create magical experiences for our visitors and push the limits of functional objectives.
- Drive innovation, proof of concepts, technology cash drives, and customer interactions that lead to growing top-tier AI platforms.
- Manage functional support and maintenance of ML-related products and services delivered by the team.
- Build standard procedures used in daily operations and work with specialty units to design, plan, and execute large-scale projects in the AI space.
- Productionize ML algorithms in predictive analytics, classification, image recognition, NLP, anomaly detection, and more, and evaluate their performance on real-world datasets.
- Collaborate with other teams to achieve goals in improving system performance and coordinate with existing software practices that generate effective code, including automated testing, continuous integration, code style consistency, and code reviews.
Essential Qualifications and Skills
To be successful in this role, you should have:
- 2 years of expertise in Python and predictive modeling experiences, such as TensorFlow, SparkMLib, PySpark, Light, MXNet, and more.
- 2 years of expert-level experience in cloud platforms like AWS and GCP.
- Proficiency in SDLC, QA cycles, and Object-Oriented Programming Design Patterns.
- Expert-level experience in structured and unstructured data (i.e., images, video, text, audio, etc.) and SQL relational and non-relational databases.
- 2 years of experience with Airflow or another data workflow management tool.
- Experience with version control software, such as GitHub and GitLab, Model Operations, and CI/CD pipelines.
- Experience in driving discovery processes with partners to identify business requirements and the expected outcome, strong communication skills, and determination to complete tasks.
- Solid systems integration architecture skills, capable of transforming new technology into business solutions.
Preferred Qualifications and Skills
While not required, the following skills and qualifications are preferred:
- Experience with Docker.
- Experience with control systems.
- Experience with Kubernetes.
- Experience with cloud solutions 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 development.
- Experience with data visualization and data monitoring tools (e.g., Splunk, Plotly, Tableau).
- Experience with audio analysis.
- Experience with text analysis.
Education
A Master's degree in Data Science, Statistics, Computer Science, Computer Engineering, Software Engineering, or a similar technical background is required. A Ph.D. in Data Science, Statistics, Computer Science, Computer Engineering, Software Engineering, or a similar technical background is preferred.
Career Growth Opportunities and Learning Benefits
At arenaflex, we are committed to providing our employees with opportunities for growth and development. As a Principal Data Scientist, you will have the chance to work on complex projects, collaborate with cross-functional teams, and develop your skills in AI and ML. You will also have access to training and development programs, mentorship, and opportunities to attend industry conferences and workshops.
Work Environment and Company Culture
arenaflex is a dynamic and innovative company that values creativity, diversity, and inclusion. Our work environment is collaborative, fast-paced, and exciting, with a focus on delivering exceptional experiences for our visitors. We offer a comprehensive benefits package, including competitive salary, health insurance, retirement plans, and paid time off.
Compensation, Perks, and Benefits
We offer a competitive salary of $32 per hour, as well as a range of perks and benefits, including:
- Comprehensive health insurance
- Retirement plans
- Paid time off
- Opportunities for professional development and growth
- Access to exclusive arenaflex events and experiences
Conclusion
If you are a motivated and experienced data scientist looking for a new challenge, we encourage you to apply for this exciting opportunity at arenaflex. As a Principal Data Scientist, you will have the chance to work on complex projects, develop your skills in AI and ML, and contribute to the creation of exceptional experiences for our visitors. Don't miss out on this opportunity to join our dynamic and innovative team and take your career to the next level.
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