Experienced Full Stack Data Analyst – AI and Machine Learning Model Development for Disney Encounters
Are you a data enthusiast with a passion for innovation and a love for all things Disney? Do you want to be part of a dynamic team that pushes the boundaries of what's possible in the world of entertainment? Look no further! blithequark is seeking an experienced Full Stack Data Analyst to join our team of experts in AI and Machine Learning (ML) model development for Disney Encounters.
About blithequark
blithequark is a leading innovator in the entertainment industry, dedicated to creating immersive and unforgettable experiences for our visitors. Our team is driven by a passion for innovation and a commitment to excellence, and we're always looking for talented individuals who share our vision. As a Full Stack Data Analyst, you'll have the opportunity to work with our team of experts to develop and implement cutting-edge AI and ML models that will revolutionize the way we interact with our visitors.
Job Summary
As a Full Stack Data Analyst, you'll be responsible for leading the development, implementation, and maintenance of AI and ML models that drive business outcomes and improve visitor experiences. You'll work closely with our team of data scientists, engineers, and product managers to design, develop, and deploy scalable and efficient ML solutions that meet the needs of our business. Your expertise in data analysis, machine learning, and software development will be essential in driving innovation and growth at blithequark.
Key Responsibilities
* Collaborate with cross-functional teams to design, develop, and deploy AI and ML models that drive business outcomes and improve visitor experiences
- Lead the development and implementation of ML pipelines, including data preprocessing, feature engineering, and model training
- Work with data scientists and engineers to develop and deploy scalable and efficient ML solutions that meet the needs of our business
- Collaborate with product managers to design and develop data-driven products and features that meet the needs of our visitors
- Develop and maintain data visualizations and reports to communicate insights and recommendations to stakeholders
- Stay up-to-date with the latest developments in AI and ML, and apply this knowledge to drive innovation and growth at blithequark
Essential Qualifications
* 2+ years of experience in data analysis, machine learning, and software development
- Proficiency in Python and experience with predictive modeling frameworks such as TensorFlow, SparkMLib, PySpark, Light, MXNet, etc.
- Experience with cloud platforms such as AWS and GCP
- Strong understanding of SDLC, QA cycles, and Agile development methodologies
- Experience with data visualization tools such as Tableau, Power BI, or D3.js
- Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams
Preferred Qualifications
* Experience with Docker, Kubernetes, and cloud-native applications
- Experience with data warehousing and ETL tools such as Informatica, Talend, or AWS Glue
- Experience with data governance and compliance frameworks such as GDPR, HIPAA, or PCI-DSS
- Experience with DevOps tools such as Jenkins, GitLab, or CircleCI
- Experience with data science platforms such as Jupyter Notebook, RStudio, or DataRobot
Education
* Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field
- Master's or Ph.D. in Computer Science, Data Science, Statistics, Mathematics, or a related field (desired)
What We Offer
* Competitive salary and benefits package
- Opportunity to work with a dynamic and innovative team
- Collaborative and inclusive work environment
- Professional development and growth opportunities
- Flexible work arrangements, including remote work options
- Access to the latest technologies and tools
- Recognition and rewards for outstanding performance
How to Apply
If you're a motivated and talented data professional with a passion for innovation and a love for all things Disney, we want to hear from you! Please submit your resume and a cover letter explaining why you're the perfect fit for this role. We can't wait to hear from you! Apply Now! Apply for this job