About Disney Encounters and Items
Disney Encounters and Items is a pioneering entertainment and innovation company that embodies the spirit of Walt Disney's relentless pursuit of innovation and excellence. Our mission is to create and deliver extraordinary experiences for our visitors, and we're always looking for new ways to improve these experiences. Joining our team is a promise to make a difference and contribute to the magic of Disney.
About the Role
We're seeking an experienced Full Stack Data Analyst to join our team as a Key Information Researcher. In this role, you'll play a critical part in directing the creation, deployment, and support of data analysis and AI (ML) model development for our attractions. You'll work closely with internal partners to deliver exceptional visitor experiences through intelligent and data-driven systems across Disney Encounters (DX). As a member of our team, you'll report to Attractions Functional Innovation and have the opportunity to work on exciting projects that push the boundaries of what's possible.
About the Job
This remote position offers an exciting opportunity to be part of the Disney family from the comfort of your own home. No prior experience is necessary – just a passion for customer service and a love for all things Disney! As a Full Stack Data Analyst, you'll have the chance to work on a wide range of projects, from developing and deploying AI models to analyzing data and identifying areas for improvement. You'll collaborate with cross-functional teams to drive innovation and deliver exceptional results.
Key Responsibilities
- Develop and maintain relationships with colleagues, provide idea management, and attest impact by driving activities to completion efficiently and effectively.
- Engage in research and collaboration with colleagues, assist in driving ML methodologies, and identify areas where business issues can be addressed creatively by applying ML.
- Lead and work with other specialists and data researchers to execute and effectively scale ML solutions to create magical experiences for our visitors and push the boundaries of functional objectives.
- Drive innovation, concept validation, innovation funding, and customer communications 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 techniques used in everyday tasks and work with specialty units to plan, design, and execute large-scale projects in the AI space.
- Productionize ML algorithms in predictive analysis, clustering, image recognition, NLP, anomaly detection, and more, and assess their performance on real-world datasets.
- Collaborate with other teams to achieve goals in improving system performance, Coordinate with existing software practices that produce efficient code, including automated testing, continuous integration, code style consistency, and code reviews.
Required Capabilities and Abilities
To succeed in this role, you'll need to possess the following 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 (i.e., 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, relational skills, and determination to complete tasks.
- Strong systems integration engineering skills, capable of transforming new tech into business solutions.
Favored Capabilities
While not required, the following capabilities are highly desirable:
- Experience with Docker.
- Experience with control frameworks.
- Experience with Kubernetes.
- Experience with cloud platforms 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
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 desirable.
Career Growth Opportunities and Learning Benefits
As a member of our team, you'll have the opportunity to work on a wide range of projects and develop your skills in AI, ML, and data analysis. We offer a range of training and development programs to help you grow your career and achieve your goals. Our team is passionate about innovation and excellence, and we're committed to creating a culture that supports and encourages growth and development.
Work Environment and Company Culture
We're a remote-first company, and we're committed to creating a culture that's inclusive, diverse, and supportive. Our team is passionate about innovation and excellence, and we're always looking for new ways to improve our processes and systems. We offer a range of benefits and perks, including flexible working hours, professional development opportunities, and a comprehensive benefits package.
Compensation, Perks, and Benefits
We offer a competitive salary and a range of benefits and perks, including:
- A comprehensive benefits package, including health insurance, dental insurance, and vision insurance.
- A 401(k) retirement plan with company match.
- Flexible working hours and remote work options.
- Professional development opportunities and training programs.
- A range of employee discounts and perks.
How to Apply
If you're passionate about innovation and excellence, and you're looking for a challenging and rewarding role, we'd love to hear from you! Please submit your application, including your resume and a cover letter, to [insert contact information]. We can't wait to hear from you and learn more about your qualifications and experience!
Apply Now