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Urgent! Lead Data Engineer Job Opening In Seattle – Now Hiring Disney Entertainment and ESPN Product & Technology
Job Summary:
Our team develops and maintains state-of-the-art recommendation and personalization algorithms that serve hundreds of millions of users across Disney+, Hulu, ABC, and ESPN.
As a key member of this team, you will collaborate closely with Engineering, Product, and Data teams to apply advanced machine learning techniques in support of strategic personalization initiatives.
This is an Individual Contributor role focused on content recommendations.
You will lead the research, development, deployment, and optimization of recommendation and personalization algorithms across product surfaces.
You will also play a critical role in aligning technical solutions with stakeholder requirements and expectations, partnering with Product, Engineering, and Editorial teams.
Beyond execution, you will help define the roadmap for algorithmic innovation—shaping approaches to feature development and contributing to broader company goals in the personalization and recommendation space.
Responsibilities:
Developing and prototyping state-of-the-art Deep Neural Net algorithms for recommendation systems
Deliver a conceptual solution into production-level implementation & operation at scale, for global user services.
Quickly learn our complex streaming recommendation systems and deep dive into individual components & systems as well as understand overall framework/architecture.
Identify impactful opportunities to improve our business operations and develop practical solutions and plans to lift our business KPI’s.
Drive business decisions by data driven and pragmatic approach
Excellent written and oral communication skills
Leadership to technically guide a team of engineers and work collaboratively with peers to achieve goals with deadline.
Basic Qualifications:
Strong proficiency in at least one of the following deep learning frameworks, tensorflow, pytorch
Experiences building and deploying full stack ML pipelines: data extraction, data mining, model training, feature development, testing, and deployment
Track record from design to full production of effective recommendation systems
Experience with cloud services in a production environment (particularly AWS)
Understanding of statistical concepts (., hypothesis testing, regression analysis)
Ability to articulate the usage and behavior of models and algorithms to both technical and non-technical audiences
Preferred Qualifications:
MS or PhD in statistics, math, computer science, or related quantitative field
Production experience with developing content recommendation algorithms at scale and familiar with metadata management, data lineage, and principles of data governance
Deep understanding in personalization challenges in homepage experience and proven records of developing effective solutions
Experience with:
7+ years of experience in developing highly scalable machine learning products
7+ years writing production-level, scalable Python codes
Required Education:
Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience
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Unlock Your Lead Data Potential: Insight & Career Growth Guide
Real-time Lead Data Jobs Trends in Seattle, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Lead Data in Seattle, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 125375 jobs in United States and 1151 jobs in Seattle. This comprehensive analysis highlights market share and opportunities for professionals in Lead Data roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Disney Entertainment and ESPN Product & Technology is currently hiring and seeking a Lead Data Engineer to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Lead Data Engineer Jobs Seattle.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Disney Entertainment and ESPN Product & Technology adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Lead Data Engineer Jobs United States varies, but the pay scale is rated "Standard" in Seattle. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Lead Data Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your Lead Data Engineer interview at Disney Entertainment and ESPN Product & Technology, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Disney Entertainment and ESPN Product & Technology's products or services and be prepared to discuss how you can contribute to their success.
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