Senior Machine Learning Engineer Full-time

Job Posting Title:
Senior Machine Learning Engineer

Req ID:
10083345

Job Description:
About the Role & Team

We create happiness.” That’s our motto at Walt Disney Parks and Resorts, and it permeates everything we do. At Disney, you’ll help encourage that magic by enabling our company to push the limits and build the never-before-seen! Are you ready to join this team and make an impact?

Disney Experiences (DX) is a world-class entertainment and technology leader. Walt’s passion was to innovate continuously and push the boundaries of what is possible, which remains central in our business today. Uniting each endeavor is a commitment to creating and delivering unforgettable experiences, and we’re constantly looking for new ways to enhance these exciting experiences for our guests. A Senior Machine Learning Engineer in this group will help guide the creation, installation, and support the data analysis and development of machine learning models for our attractions. We work closely with internal partners to deliver world-class guest experiences with interactive & data systems across DX. You will be reporting to the Attractions Operational Technology organization.

This is a full-time role.

What You Will Do

• Collaborating with business partners to translate predictive insights into actionable recommendations and strategic initiatives.
• Conducting advanced data analysis, modeling, and experimentation to derive actionable insights and drive strategic decision-making.
• Applying data science techniques, tools, and technologies to solve complex problems optimally.
• Developing and deploying predictive models to forecast future trends, behavior, or outcomes based on historical data in the attraction space.
• Evaluating model performance and refining algorithms to improve accuracy, reliability, and scalability.
• Using cross validation techniques to validate accuracy and adaptability of models over time.
• Regularly evaluating and updating predictive models ensure they remain relevant and effective in dynamic business environments.

Required Qualifications & Skills

• 2+ year experience or equivalent education with data analytics and modeling tools (i.e., keras, tensor flow, torch, pytorch, sklearn, ml-lib, etc.).
• Demonstrable knowledge of forecasting or predictive modeling.
• Exposure to cloud computing environment (i.e., AWS, GCP, Azure).
• Experience with Python, R, or Scala.
• Ability to decompose a complex problem into smaller parts.
• Experience with revision control software, such as GitHub and GitLab.
• Experience with data visualization and data monitoring tools (e.g. Splunk, Plotly, Tableau).
• Experience with SQL databases and complex queries.
• Experience with Atlassian Tools such as Jira & Confluence.
• Experience with unit and regression testing.

Preferred Qualifications

• Knowledge of Software Development Life cycle and QA processes.
• Experience with Docker.
• Experience and setting up CI/CD pipelines.
• Experience in Airflow or another data workflow management tool.
• Experience with Model Ops (model development life cycle).
• Ability to explain technical solutions and results.

Education

• Bachelor of Science in Data Science, Statistics, Computer Engineering, Computer Science, or equivalent technical background.
• PREFERRED: Master of Science in Data Science, Statistics, Computer Engineering, Computer Science, or equivalent technical background.

Additional Information

Disney offers a rewards package to help you live your best life. This includes health and savings benefits, educational opportunities, and special extras that only Disney can provide. Learn more about our benefits and perks at https://jobs.disneycareers.com/benefits.

#DXFOS #DXMedia #LI-dm2

Job Posting Segment:
Worldwide Safety, Health, Engineer & Sourcing

Job Posting Primary Business:
Global Engineering & Technology (WSHES)

Primary Job Posting Category:
Data Science

Employment Type:
Full time

Primary City, State, Region, Postal Code:
Lake Buena Vista, FL, USA

Alternate City, State, Region, Postal Code:

Date Posted:
2024-03-19