Data Scientist II

Posted 2 Days Ago
New York, NY
Hybrid
120K-162K Annually
Mid level
AdTech • Digital Media • News + Entertainment
Create the Tech Behind Our Magic
The Role
The Data Scientist II will build and scale econometric models for Disney Streaming Services, quantify marketing ROI, support strategic analysis, and automate long-term marketing mix modeling. The role requires substantial quantitative skills and the ability to mentor analysts while providing insights to drive marketing efficiency.
Summary Generated by Built In

About The Team
Marketing science - a sub-team within marketing analytics at Disney's Direct to Consumer team (Hulu, Disney+, ESPN + and Star) - is in search of an econometrician to run marketing mix models (MMM) and associated ancillary analysis. This position will work as part of a team focused primarily on econometric modeling, which also provides support for downstream practices used to inform marketing investment. The analyst plays a hands-on role in modeling efforts. The ideal candidate has a substantial quantitative skill set with direct experience in marketing science practices (MMM, attribution modeling, testing / experimentation, etc.), and should serve as a strong mentor to analysts, helping to onboard new talent in support of wider company goals. Technical acumen as well as narrative-building are integral to the success of this role.
Responsibilities

  • Build, sustain and scale econometric models (MMM) for Disney Streaming Services with support from data engineering and data product teams
  • 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
  • Support ad hoc strategic analysis to provide recommendations that drive increased return on spend through shifts in mix, flighting, messaging and tactics, and that help cross-validate model results
  • Provide insights to marketing and finance teams, helping to design and execute experiments to move recommendations forward based on company goals (e.g., subscriber growth, LTV, etc )
  • Support long-term MMM (et.al.) automation, productionalization and scale with support from data engineering and product
  • 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


Basic Qualifications

  • Bachelor's degree in advanced Mathematics , Statistics, Data Science or comparable field of study
  • 3+ years of experience in a marketing data science / analytics role with understanding of measurement and optimization best practices
  • Coursework or direct experience in applied econometric modeling, ideally in support of measure marketing efficiency and optimize spend, flighting and mix to maximize return on ad spend (i.e., MMM)
  • Exposure / 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
  • Ex posure to / familiarity with 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


Preferred Qualifications

  • M asters degree in Computer Science, Engineering, Mathematics, Physics, Econometrics, or Statistics


Additional Information
#DISNEYTECH
The hiring range for this position in New York, NY is $120,400 to $161,500 and in Santa Monica, CA is $115,000 to $154,000 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.

Top Skills

Python
R
SQL

What the Team is Saying

Chris
Chase
Jamie
The Company
HQ: Burbank , CA
200,000 Employees
Hybrid Workplace
Year Founded: 1923

What We Do

Innovation is in the DNA of The Walt Disney Company. We not only embrace it, we translate it into experiences you can see and feel. From our groundbreaking work in advanced audio-animatronic robots featured in the Disney theme parks, to streaming services that are redefining entertainment, to inventing tools to create new worlds in our films — The Walt Disney Company has spent nearly 100 years immersing audiences in new and stunning experiences using groundbreaking technology. When next generation technology meets talented people ready to tackle challenges still to be imagined, anything can happen.

Why Work With Us

Every technologist at Disney is essential to helping us create unforgettable experiences and innovative products. Our teams constantly spearhead innovation by incubating cutting-edge ideas into production-ready solutions. At Disney, you’ll make an impact you can see and feel with a team that both supports and challenges your thinking.

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Employees engage in a combination of remote and on-site work.

Typical time on-site: Flexible
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