Experienced Data Scientist II – Marketing Science and Analytics Leader for Disney's Direct to Consumer Team

Introduction to an Unparalleled Opportunity

Imagine being part of a team that is revolutionizing the way we approach marketing science and analytics. As a Data Scientist II, you will have the unique opportunity to join Disney's Direct to Consumer team, working on cutting-edge projects that drive business growth and inform marketing investment strategies. This is a fully remote position, offering the flexibility to work from anywhere and collaborate with a talented team of professionals who share your passion for data-driven insights.

About the Team and Role

The Marketing Science team, a sub-team within Marketing Analytics at Disney's Direct to Consumer team (Hulu, Disney+, ESPN+, and Star), is seeking an experienced Data Scientist to lead the development and implementation of marketing mix models (MMM) and associated ancillary analysis. As a key member of this team, you will work closely with cross-functional stakeholders to drive business outcomes, provide strategic recommendations, and mentor junior analysts to help them grow in their careers.

Your expertise in econometric modeling, marketing science practices, and technical acumen will be essential in driving the success of this role. You will have the opportunity to work on complex projects, build and scale econometric models, and collaborate with data engineering and data product teams to inform marketing investment and optimize spend.

Key Responsibilities

• Build, sustain, and scale econometric models (MMM) for Disney Streaming Services, working closely with data engineering and data product teams to ensure seamless integration and scalability.
• Quantify ROI on marketing investment, determine optimal spend range across the portfolio, identify proposed efficiency caps by channel, set budget amounts, and inform subscriber acquisition forecasts to drive business growth.
• Support ad hoc strategic analysis to provide recommendations that drive increased return on spend through shifts in mix, flighting, messaging, and tactics, and help cross-validate model results to ensure accuracy and reliability.
• Provide insights to marketing and finance teams, helping to design and execute experiments to move recommendations forward based on company goals, such as subscriber growth, LTV, and revenue optimization.
• Support long-term MMM automation, productionalization, and scale with support from data engineering and product teams to ensure efficient and effective model deployment.
• Build out front-end reporting and dashboarding in partnership with data product analysts and data engineers to communicate performance metrics across services, markets, channels, and subscriber types, and provide actionable insights to stakeholders.

Essential Qualifications

To be successful in this role, you will need to have a strong foundation in advanced mathematics, statistics, data science, or a comparable field of study. A Bachelor's degree in one of these fields is required, with a minimum of 3+ years of experience in a marketing data science/analytics role.

In addition to your educational background and experience, you should have:

• Coursework or direct experience in applied econometric modeling, ideally in support of measuring marketing efficiency and optimizing spend, flighting, and mix to maximize return on ad spend (i.e., MMM).
• Exposure to or understanding of media attribution practices for digital and linear media, the data required to power them, and methodologies for measurement.
• Understanding of incrementality experiments to validate model recommendations and gain learnings on channel/publisher efficacy.
• Exposure to or familiarity with BI/data concepts and experience building out self-service marketing data solutions.
• Strong coding experience in one or more data programming languages like Python/R.
• Ability to draw insights and conclusions from data to inform model development and business decisions.
• Experience in SQL and data querying languages.

Preferred Qualifications

While not required, a Master's degree in Computer Science, Engineering, Mathematics, Physics, Econometrics, or Statistics is highly preferred. Additional experience in marketing science practices, such as attribution modeling, testing/experimentation, and marketing mix modeling, is also a plus.

Skills and Competencies

To excel in this role, you will need to possess a unique combination of technical, business, and interpersonal skills, including:

• Strong technical skills in data programming languages, such as Python/R, and experience with data querying languages like SQL.
• Excellent analytical and problem-solving skills, with the ability to draw insights and conclusions from complex data sets.
• Strong communication and presentation skills, with the ability to effectively communicate technical concepts to non-technical stakeholders.
• Collaboration and teamwork skills, with the ability to work closely with cross-functional teams to drive business outcomes.
• Adaptability and flexibility, with the ability to thrive in a fast-paced and dynamic environment.

Career Growth Opportunities and Learning Benefits

As a Data Scientist II at Disney's Direct to Consumer team, you will have access to a wide range of career growth opportunities and learning benefits, including:

• Professional development and training programs to help you stay up-to-date with the latest technologies and trends in marketing science and analytics.
• Mentorship and coaching from experienced professionals in the field.
• Opportunities to work on high-impact projects and collaborate with cross-functional teams to drive business outcomes.
• Access to a wide range of tools and technologies, including data programming languages, data querying languages, and data visualization tools.

Work Environment and Company Culture

At Disney, we pride ourselves on our collaborative and dynamic work environment, where creativity, innovation, and teamwork are valued and encouraged. As a Data Scientist II, you will be part of a talented team of professionals who share your passion for data-driven insights and marketing science.

Our company culture is built on a foundation of respect, inclusivity, and diversity, where everyone has the opportunity to thrive and grow. We offer a wide range of benefits and perks, including flexible working hours, remote work options, and access to exclusive Disney events and experiences.

Compensation, Perks, and Benefits

The compensation for this role is competitive, with a salary range of $120,400 to $161,500 per year in New York, NY, and $115,000 to $154,000 per year in Santa Monica, CA. In addition to your salary, you will also be eligible for a range of benefits and perks, including:

• A bonus and/or long-term incentive units as part of your compensation package.
• A full range of medical, financial, and other benefits to support your health and well-being.
• Access to exclusive Disney events and experiences, including movie premieres, theme park events, and more.
• Flexible working hours and remote work options to support your work-life balance.

Conclusion

If you are a motivated and experienced Data Scientist looking for a new challenge, we encourage you to apply for this exciting opportunity. As a Data Scientist II at Disney's Direct to Consumer team, you will have the chance to work on cutting-edge projects, collaborate with a talented team of professionals, and drive business growth through data-driven insights.

Don't miss out on this opportunity to join our team and take your career to the next level. Apply today and become a part of the Disney team!