**Experienced Data Scientist - Audience Modeling and Data Science at The Walt Disney Company (Remote)**
Join the Magic of Data Science at The Walt Disney Company
Are you a data-driven professional with a passion for innovation and creativity? Do you want to be part of a world-renowned company that brings joy and entertainment to people all around the globe? Look no further! The Walt Disney Company is seeking an intellectually curious, business-savvy, analytical powerhouse to join our Audience Modeling and Data Science team as a Data Scientist. As a remote employee, you'll have the opportunity to work with a talented team of professionals and contribute to the growth and success of our advertising sales business.
About The Walt Disney Company
The Walt Disney Company is a leading diversified global media and entertainment conglomerate with a rich history dating back to the 1920s. With operations in over 40 countries, our company is comprised of several business segments, including Disney Entertainment, ESPN, Disney Parks, and Experiences and Products. We're proud of our legacy of creating world-class stories and experiences that bring people together. From iconic characters and movies to theme parks and resorts, our stories, characters, and experiences reach consumers and visitors from every corner of the globe.
Job Summary
As a Data Scientist in our Audience Modeling and Data Science team, you'll play a critical role in driving business growth and success through data-driven insights and solutions. You'll work collaboratively with cross-functional teams to develop, drive, and oversee new strategies that ensure the growth of our advertising sales business and overall bottom line. Your expertise in data science, machine learning, and data engineering will enable us to create and optimize target market class models, integrate complex datasets, and publish target market attributes across various ad-serving endpoints.
Key Responsibilities
Develop and optimize target market class models: Create and refine models that enable us to predict and target strategic target market attributes, including brand affinity, buy behavior, and psychographics.
Integrate complex datasets: Combine large suites of complicated datasets, from virtual event logs to carrying event metadata, into carefully curated and reusable data models.
Publish target market attributes: Publish target market attributes across an array of ad-serving endpoints, ensuring alignment with the goals of each strategic sales vertical and the business as a whole.
Maintain and expand machine learning strategies: Enable training, scoring, and deployment of machine learning models at scale.
Develop and own data processing pipelines: Design and implement data processing pipelines that integrate streaming, advertising, and other feeds on the terabyte scale.
Transform complex data relationships: Convert complex data relationships into consumable and intuitive data models.
Implement modern authoring, orchestration, and monitoring tools: Utilize cutting-edge tools to author, orchestrate, and monitor data pipelines and workflows.
Essential Qualifications
5+ years of experience in data science or data engineering: Fluency in machine learning strategies and their relationship to underlying datasets.
Strong experience in Google Cloud: Expertise in BigQuery or similar SQL-based massive data warehouse.
Solid experience in Python: Proven ability to read, write, audit, and report code.
Ability to write detailed technical requirements: Strong communication and documentation skills.
Innovative thinker: Ability to work in both strategic and hands-on capacities, with a detail-oriented and conscientious approach.
Preferred Qualifications
Apache Beam and Apache Spark experience: Familiarity with these technologies is a plus.
Experience in data system orchestration tools: Knowledge of tools like Airflow, Snowpipe, or similar.
Proficiency in maintaining group projects in Git and GitHub: Experience with version control and collaboration tools.
Experience developing internal APIs: Familiarity with API design and development.
Education
Bachelor's degree in Computer Science, MIS, Statistics, Economics, Mathematics, or related analytical field: A strong foundation in analytical or computational fields.
Career Growth Opportunities and Learning Benefits
At The Walt Disney Company, we're committed to the growth and development of our employees. As a Data Scientist, you'll have access to:
Career development programs: Opportunities for professional growth and advancement.
Community involvement: Engage with our community through volunteer programs and charitable initiatives.
Commuter assistance: Support for your daily commute.
Exclusive discounts: Enjoy discounts on Disney products and services.
Health insurance: Comprehensive health insurance coverage.
On-site childcare: Convenient childcare services at select locations.
Paid time off: Generous paid time off policies.
Retirement savings plans: Competitive retirement savings plans.
Theme park admission: Enjoy access to our theme parks and resorts.
Tuition assistance: Support for your educational pursuits.
Weekly pay: Convenient weekly pay schedules.
Wellness programs: Access to wellness programs and resources.
Compensation and Benefits
The hiring range for this role is $136,038 to $182,490 per year. The base pay offered will consider internal equity and may vary depending on the candidate's geographic location, job-related knowledge, skills, and experience, among other factors. A bonus and/or long-term incentive devices can be provided as part of the compensation package, in addition to a comprehensive benefits package.
Conclusion
If you're a motivated and talented Data Scientist looking for a new challenge, we encourage you to apply for this exciting opportunity at The Walt Disney Company. As a remote employee, you'll have the flexibility to work from anywhere while contributing to the growth and success of our advertising sales business. Don't miss this chance to join our team and be part of the magic of Disney!
Apply Now
Apply Now
Are you a data-driven professional with a passion for innovation and creativity? Do you want to be part of a world-renowned company that brings joy and entertainment to people all around the globe? Look no further! The Walt Disney Company is seeking an intellectually curious, business-savvy, analytical powerhouse to join our Audience Modeling and Data Science team as a Data Scientist. As a remote employee, you'll have the opportunity to work with a talented team of professionals and contribute to the growth and success of our advertising sales business.
About The Walt Disney Company
The Walt Disney Company is a leading diversified global media and entertainment conglomerate with a rich history dating back to the 1920s. With operations in over 40 countries, our company is comprised of several business segments, including Disney Entertainment, ESPN, Disney Parks, and Experiences and Products. We're proud of our legacy of creating world-class stories and experiences that bring people together. From iconic characters and movies to theme parks and resorts, our stories, characters, and experiences reach consumers and visitors from every corner of the globe.
Job Summary
As a Data Scientist in our Audience Modeling and Data Science team, you'll play a critical role in driving business growth and success through data-driven insights and solutions. You'll work collaboratively with cross-functional teams to develop, drive, and oversee new strategies that ensure the growth of our advertising sales business and overall bottom line. Your expertise in data science, machine learning, and data engineering will enable us to create and optimize target market class models, integrate complex datasets, and publish target market attributes across various ad-serving endpoints.
Key Responsibilities
Develop and optimize target market class models: Create and refine models that enable us to predict and target strategic target market attributes, including brand affinity, buy behavior, and psychographics.
Integrate complex datasets: Combine large suites of complicated datasets, from virtual event logs to carrying event metadata, into carefully curated and reusable data models.
Publish target market attributes: Publish target market attributes across an array of ad-serving endpoints, ensuring alignment with the goals of each strategic sales vertical and the business as a whole.
Maintain and expand machine learning strategies: Enable training, scoring, and deployment of machine learning models at scale.
Develop and own data processing pipelines: Design and implement data processing pipelines that integrate streaming, advertising, and other feeds on the terabyte scale.
Transform complex data relationships: Convert complex data relationships into consumable and intuitive data models.
Implement modern authoring, orchestration, and monitoring tools: Utilize cutting-edge tools to author, orchestrate, and monitor data pipelines and workflows.
Essential Qualifications
5+ years of experience in data science or data engineering: Fluency in machine learning strategies and their relationship to underlying datasets.
Strong experience in Google Cloud: Expertise in BigQuery or similar SQL-based massive data warehouse.
Solid experience in Python: Proven ability to read, write, audit, and report code.
Ability to write detailed technical requirements: Strong communication and documentation skills.
Innovative thinker: Ability to work in both strategic and hands-on capacities, with a detail-oriented and conscientious approach.
Preferred Qualifications
Apache Beam and Apache Spark experience: Familiarity with these technologies is a plus.
Experience in data system orchestration tools: Knowledge of tools like Airflow, Snowpipe, or similar.
Proficiency in maintaining group projects in Git and GitHub: Experience with version control and collaboration tools.
Experience developing internal APIs: Familiarity with API design and development.
Education
Bachelor's degree in Computer Science, MIS, Statistics, Economics, Mathematics, or related analytical field: A strong foundation in analytical or computational fields.
Career Growth Opportunities and Learning Benefits
At The Walt Disney Company, we're committed to the growth and development of our employees. As a Data Scientist, you'll have access to:
Career development programs: Opportunities for professional growth and advancement.
Community involvement: Engage with our community through volunteer programs and charitable initiatives.
Commuter assistance: Support for your daily commute.
Exclusive discounts: Enjoy discounts on Disney products and services.
Health insurance: Comprehensive health insurance coverage.
On-site childcare: Convenient childcare services at select locations.
Paid time off: Generous paid time off policies.
Retirement savings plans: Competitive retirement savings plans.
Theme park admission: Enjoy access to our theme parks and resorts.
Tuition assistance: Support for your educational pursuits.
Weekly pay: Convenient weekly pay schedules.
Wellness programs: Access to wellness programs and resources.
Compensation and Benefits
The hiring range for this role is $136,038 to $182,490 per year. The base pay offered will consider internal equity and may vary depending on the candidate's geographic location, job-related knowledge, skills, and experience, among other factors. A bonus and/or long-term incentive devices can be provided as part of the compensation package, in addition to a comprehensive benefits package.
Conclusion
If you're a motivated and talented Data Scientist looking for a new challenge, we encourage you to apply for this exciting opportunity at The Walt Disney Company. As a remote employee, you'll have the flexibility to work from anywhere while contributing to the growth and success of our advertising sales business. Don't miss this chance to join our team and be part of the magic of Disney!
Apply Now
Apply Now