Introduction to Disney and the Role
Disney, a global leader in the entertainment industry, is seeking an experienced Senior Data Scientist to join its team. As a Senior Data Scientist, you will play a crucial role in developing and improving predictive models and unified insights on engagement across Disney's TV portfolio. Your primary focus will be on viewership forecasting, in collaboration with addressable estimating groups, to enhance Advertising Sales revenue and support the DTCI P&L's for digital. This is a unique opportunity to work with a talented team of professionals who are passionate about data-driven decision making and committed to delivering exceptional results.
Job Summary
The Senior Data Scientist will be responsible for managing end-to-end projects, from ETL to predictive modeling, data visualization, and BI reporting. You will be a skilled problem solver, comfortable with coding and diving into data with creativity and efficiency, while building strong relationships across different segments and partners with effective communication. If you are a self-starter with a passion for data science and a drive to deliver innovative solutions, we encourage you to apply for this exciting opportunity.
Key Responsibilities
- Data Quality: Interpret raw data from multiple sources into meaningful and valuable insights for data-driven decision making, with digital pipelines handling ETL. As a knowledgeable expert on internal/external data sources, ensure data is as clean as possible and a reliable source of truth, identifying discrepancies and developing workarounds where required.
- Statistical Modeling: Design and develop new predictive models using statistical and machine learning techniques to estimate and project a user's engagement with the Disney platforms across multiple KPIs. Dive into drivers of change when interpreting forecasts and drive changes to the science in the forecast that will enhance accuracy.
- Business Acumen: Build visualizations and interfaces to communicate results to business partners in an easily digestible, maintainable, and automated way. Analyze data to identify patterns, uncover potential opportunities, and create a common understanding of digital media consumption.
- Leadership/Collaboration: Partner closely with business partners (primarily the addressable estimating groups within Research, Insights, and Measurement) to identify and pursue opportunities, and with other data teams to improve capabilities around data modeling, testing platforms, and data visualization. Act as a resource for colleagues with less expertise.
- Process Improvement: Drive innovation by exploring new statistical methods and brainstorming ways to enhance the current forecasting and reporting infrastructure, making processes significantly better.
- Agile Methodologies: Apply Agile principles through participating in standups, sprint planning, writing business requirements documents, and reviews. Participate in an "Open Source" learning environment where sharing, documenting, teaching, and collaborating with others is the culture.
Essential Qualifications
- Minimum 2+ years of relevant experience in data science or a related field
- High proficiency in SQL and Python (e.g., pandas, numpy, scikit-learn) for data analysis
- Experience with ETL, data pipeline management, and cloud infrastructure for managing large datasets (e.g., AWS, PySpark, Snowflake, Airflow, Databricks)
- Experience with data visualization tools (e.g., Tableau)
- Experience designing and implementing predictive models (e.g., generalized linear models, time series, decision trees, etc.)
- Experience working with Git
- Proven sense of ownership and effective project management - you have a knack for investigating complex problems with smart fixes
- Relational skills - you're able to switch between technical and non-technical terminology depending on the audience
- Curiosity - you enjoy digging deeper to find the bigger picture and are open to learning new technologies
- Client/Customer Focused - you have strong interpersonal skills, building relationships across teams and works to gain trust and advance business objectives
- Humility - you're willing to contribute to the team, ego aside, with an enthusiasm about helping others
- Comfort with complex data and flexibility in dynamic environments
Preferred Qualifications
- Experience using web frameworks (Django) and JavaScript libraries (ReactJS, JQuery) to build professional frontend and backend web applications focused on user experience
- Experience implementing Docker containers
Career Growth Opportunities and Learning Benefits
At Disney, we are committed to providing our employees with opportunities for growth and development. As a Senior Data Scientist, you will have the chance to work on complex and challenging projects, collaborate with talented professionals, and develop your skills in data science and leadership. You will also have access to training and development programs, mentorship, and opportunities to attend industry conferences and events.
Work Environment and Company Culture
Disney is a dynamic and innovative company that values creativity, diversity, and inclusion. Our work environment is collaborative, fast-paced, and exciting, with a focus on delivering exceptional results and exceeding customer expectations. We offer a competitive compensation package, comprehensive benefits, and a range of perks and discounts, including access to Disney theme parks and resorts, movie screenings, and product discounts.
Compensation, Perks, and Benefits
We offer a competitive hourly rate of $25/hour, as well as a range of benefits, including medical, dental, and vision insurance, 401(k) matching, and paid time off. You will also have access to a range of perks and discounts, including access to Disney theme parks and resorts, movie screenings, and product discounts.
Conclusion
If you are a motivated and talented data scientist with a passion for predictive modeling and data management, we encourage you to apply for this exciting opportunity. As a Senior Data Scientist at Disney, you will have the chance to work on complex and challenging projects, collaborate with talented professionals, and develop your skills in data science and leadership. Don't miss out on this opportunity to join a dynamic and innovative company that values creativity, diversity, and inclusion. Apply now to take the first step towards an exciting and rewarding career at Disney!
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