About arenaflex
At arenaflex, we're a dynamic and innovative company that's passionate about creating exceptional experiences for our visitors. Our mission is to push the boundaries of what's possible and make a lasting impact on the world. We're a team of dreamers, thinkers, and doers who are committed to making a difference, and we're always looking for talented individuals to join our journey.
Job Summary
We're seeking an experienced Full Stack Data Analyst to join our team and contribute to the development of AI and Machine Learning (ML) models for our attractions. As a Key Information Researcher, you'll play a critical role in directing the creation, implementation, and support of data analysis and ML model development. You'll work closely with internal partners to deliver exceptional visitor experiences through intelligent and data-driven systems across arenaflex.
About the Role
As a Full Stack Data Analyst, you'll be responsible for:
- Collaborating with colleagues to drive ML methodologies and identify areas where business challenges can be addressed creatively using ML.
- Leading and working with cross-functional teams of specialists and data scientists to execute and scale ML solutions that create magical experiences for our visitors and push the boundaries of functional objectives.
- Driving innovation, idea validation, innovation funding, and client communications that lead to growing top-tier AI platforms.
- Managing functional support and maintenance of ML-related products and services delivered by the team.
- Building standard techniques used in everyday tasks and working with specialty units to plan, design, and execute large-scale projects in the AI space.
- Productionizing ML models in predictive analytics, clustering, image recognition, NLP, anomaly detection, and more, and assessing their performance on real-world datasets.
- Collaborating with other teams to achieve goals in improving system performance and coordinating with existing software practices that produce efficient code, including automated testing, continuous integration, code style consistency, and code reviews.
Required Capabilities and Abilities
To be successful in this role, you'll need:
- 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 development methodologies.
- Master-level experience in structured and unstructured data (e.g., 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 desired outcomes, and a strong ability to communicate effectively and make decisions.
- Solid systems integration engineering skills, with the ability to transform new technology into business solutions.
Favored Capabilities
While not required, experience in the following areas is highly desirable:
- Docker.
- Control frameworks.
- Kubernetes.
- Cloud platforms in GCP or another cloud platform.
- Atlassian tools like Jira and Confluence.
- Nimble development techniques.
- Automated testing, continuous integration, and continuous deployment.
- Data representation and data validation tools (e.g., Splunk, Plotly, Tableau).
- Audio analysis.
- Text analysis.
Education
We're looking for candidates with a Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related technical field. A Ph.D. in a related field is also highly valued.
What We Offer
As a Full Stack Data Analyst at arenaflex, you'll have the opportunity to:
- Work on cutting-edge AI and ML projects that make a real impact on our visitors' experiences.
- Collaborate with a talented team of data scientists, engineers, and designers to drive innovation and excellence.
- Develop your skills and expertise in a dynamic and supportive environment.
- Enjoy a competitive salary and benefits package, including health insurance, retirement savings, and paid time off.
- Participate in professional development opportunities, including training, conferences, and workshops.
- Work remotely from the comfort of your own home, with flexible hours and a healthy work-life balance.
How to Apply
If you're a motivated and talented individual who is passionate about AI, ML, and data analysis, we encourage you to apply for this exciting opportunity. Please submit your resume, cover letter, and any relevant portfolio or project examples to [insert contact information]. We can't wait to hear from you!