At Disney, we’re storytellers. We make the impossible, possible. The Walt Disney Company is a world-class entertainment and technological leader. Walt’s passion was to continuously envision new ways to move audiences around the world—a passion that remains our touchstone in an enterprise that stretches from theme parks, resorts and a cruise line to sports, news, movies and a variety of other businesses. 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.
The Enterprise Technology mission is to deliver technology solutions that align to business strategies while enabling enterprise efficiency and promoting cross-company collaborative innovation. Our group drives competitive advantage by enhancing our consumer experiences, enabling business growth, and advancing operational excellence.
The Data Solutions & Platforms team is responsible for developing data & analytics solutions for business groups across the enterprise. We are a collaborative engineering team who enjoy delivering innovative solutions to sophisticated business challenges. Examples of platforms and services we are responsible for include: data integration hub, data warehouses, BI tools, data science tools, Robotic Process Automation (RPA) and other automation tools.
This Staff Software Engineer – Data Science role will have the following responsibilities:
Developing highly-scalable, flexible, cost-effective, and secure enterprise data solutions
Supervising as the lead engineer for Disney’s Data Science Workbench platform
Providing data science and analytics solutions for multiple internal business partners
Being a subject-matter resource on all things data engineering, data integration, and data modeling
Drive timely and on-scope solutions, understanding the needs of our business groups and partners to ensure requirements are successfully met
Needed Skills & Experiences
Strong experience with advanced data analytics and developing data science models
Proven experience with data science platforms & tools (ex. R Studio, Jupyter, Dataiku, Domino Data Labs, Alteryx)
Experience developing data platforms in Python, R, & SQL
Expertise in data engineering
Experience with cloud development and cloud data platforms (Azure, AWS, GCP)
Validated experience running sophisticated technical projects with multiple stakeholders
Bachelor’s in Computer Science or related; or equivalent work experience
The hiring range for this position in California is $149,240 to $200,200 per year and in Washington State is $156,292 to $209,660 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
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