**Experienced Principal Data Scientist – AI and Machine Learning Model Development for Disney Encounters**
**Job Summary:**
Join the Disney team as an Experienced Principal Data Scientist and contribute to the development of innovative AI and machine learning models that create magical experiences for our visitors. As a key member of our team, you will work closely with internal partners to design, implement, and maintain data-driven solutions that drive business growth and improve visitor experiences. If you have a passion for data science, machine learning, and innovation, we encourage you to apply for this exciting opportunity.
**About Disney:**
Disney is a global leader in entertainment and innovation, driven by Walt's vision to continuously push the boundaries of what is possible. At Disney, we are committed to creating and delivering extraordinary experiences for our visitors, and we are always looking for new ways to improve these experiences. Our team is passionate about using data and technology to drive innovation and make a lasting impact on our visitors.
**Key Responsibilities:**
As an Experienced Principal Data Scientist, you will be responsible for:
* Collaborating with cross-functional teams to design, develop, and deploy AI and machine learning models that drive business growth and improve visitor experiences
* Leading the development of data-driven solutions that meet business requirements and drive business outcomes
* Working with data engineers and scientists to design, implement, and maintain data pipelines and data warehouses
* Developing and maintaining data visualizations and reports to communicate insights and recommendations to stakeholders
* Collaborating with data analysts and business stakeholders to identify business opportunities and develop data-driven solutions
* Leading the development of predictive models, clustering, image recognition, NLP, anomaly detection, and other machine learning techniques
* Collaborating with data engineers to productionize machine learning models and assess their performance on real-world datasets
* Working with data scientists to develop and maintain data pipelines, data warehouses, and data lakes
* Collaborating with data analysts to develop and maintain data visualizations and reports
* Leading the development of data-driven solutions that meet business requirements and drive business outcomes
**Required Capabilities and Abilities:**
To be successful in this role, you will need:
* 2+ years of experience in Python and predictive modeling, including experience with TensorFlow, SparkMLib, PySpark, Light, MXNet, and other machine learning frameworks
* 2+ years of experience in cloud platforms, including AWS and GCP
* Proficiency in SDLC, QA cycles, and Agile development methodologies
* Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field
* 2+ years of experience with data engineering tools, including data pipelines, data warehouses, and data lakes
* Experience with version control systems, including Git and GitHub
* Experience with CI/CD pipelines and DevOps practices
* Strong communication and collaboration skills, with the ability to work with cross-functional teams
* Experience with data visualization tools, including Tableau, Power BI, and D3.js
* Experience with data quality and data governance practices
**Preferred Capabilities:**
* Experience with Docker and containerization
* Experience with Kubernetes and container orchestration
* Experience with cloud platforms, including GCP and other cloud providers
* Experience with Atlassian tools, including Jira and Confluence
* Experience with Agile development methodologies and Scrum
* Experience with automated testing, continuous integration, and continuous deployment
* Experience with data representation and data validation tools, including Splunk and Plotly
* Experience with sound analysis and text analysis tools
**Education:**
* Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field
* Ph.D. in Computer Science, Data Science, Statistics, Mathematics, or a related field (desired)
**What We Offer:**
* Competitive salary and benefits package
* Opportunities for career growth and professional development
* Collaborative and dynamic work environment
* Access to cutting-edge technology and tools
* Recognition and rewards for outstanding performance
* Opportunities to work on high-impact projects and contribute to business growth
**How to Apply:**
If you are a motivated and experienced data scientist with a passion for innovation and collaboration, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your experience and qualifications for this role. We look forward to hearing from you!
Apply Now
Join the Disney team as an Experienced Principal Data Scientist and contribute to the development of innovative AI and machine learning models that create magical experiences for our visitors. As a key member of our team, you will work closely with internal partners to design, implement, and maintain data-driven solutions that drive business growth and improve visitor experiences. If you have a passion for data science, machine learning, and innovation, we encourage you to apply for this exciting opportunity.
**About Disney:**
Disney is a global leader in entertainment and innovation, driven by Walt's vision to continuously push the boundaries of what is possible. At Disney, we are committed to creating and delivering extraordinary experiences for our visitors, and we are always looking for new ways to improve these experiences. Our team is passionate about using data and technology to drive innovation and make a lasting impact on our visitors.
**Key Responsibilities:**
As an Experienced Principal Data Scientist, you will be responsible for:
* Collaborating with cross-functional teams to design, develop, and deploy AI and machine learning models that drive business growth and improve visitor experiences
* Leading the development of data-driven solutions that meet business requirements and drive business outcomes
* Working with data engineers and scientists to design, implement, and maintain data pipelines and data warehouses
* Developing and maintaining data visualizations and reports to communicate insights and recommendations to stakeholders
* Collaborating with data analysts and business stakeholders to identify business opportunities and develop data-driven solutions
* Leading the development of predictive models, clustering, image recognition, NLP, anomaly detection, and other machine learning techniques
* Collaborating with data engineers to productionize machine learning models and assess their performance on real-world datasets
* Working with data scientists to develop and maintain data pipelines, data warehouses, and data lakes
* Collaborating with data analysts to develop and maintain data visualizations and reports
* Leading the development of data-driven solutions that meet business requirements and drive business outcomes
**Required Capabilities and Abilities:**
To be successful in this role, you will need:
* 2+ years of experience in Python and predictive modeling, including experience with TensorFlow, SparkMLib, PySpark, Light, MXNet, and other machine learning frameworks
* 2+ years of experience in cloud platforms, including AWS and GCP
* Proficiency in SDLC, QA cycles, and Agile development methodologies
* Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field
* 2+ years of experience with data engineering tools, including data pipelines, data warehouses, and data lakes
* Experience with version control systems, including Git and GitHub
* Experience with CI/CD pipelines and DevOps practices
* Strong communication and collaboration skills, with the ability to work with cross-functional teams
* Experience with data visualization tools, including Tableau, Power BI, and D3.js
* Experience with data quality and data governance practices
**Preferred Capabilities:**
* Experience with Docker and containerization
* Experience with Kubernetes and container orchestration
* Experience with cloud platforms, including GCP and other cloud providers
* Experience with Atlassian tools, including Jira and Confluence
* Experience with Agile development methodologies and Scrum
* Experience with automated testing, continuous integration, and continuous deployment
* Experience with data representation and data validation tools, including Splunk and Plotly
* Experience with sound analysis and text analysis tools
**Education:**
* Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field
* Ph.D. in Computer Science, Data Science, Statistics, Mathematics, or a related field (desired)
**What We Offer:**
* Competitive salary and benefits package
* Opportunities for career growth and professional development
* Collaborative and dynamic work environment
* Access to cutting-edge technology and tools
* Recognition and rewards for outstanding performance
* Opportunities to work on high-impact projects and contribute to business growth
**How to Apply:**
If you are a motivated and experienced data scientist with a passion for innovation and collaboration, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your experience and qualifications for this role. We look forward to hearing from you!
Apply Now