Job Posting Title:

Data Scientist II

Req ID:

10104454

Job Description:

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 

Exposure 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 

Masters degree in Computer Science, Engineering, Mathematics, Physics, Econometrics, or Statistics 

Additional Information

#DISNEYTECH

The hiring range for this position in New York, NY is $120,300.00 to $161,300.00 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.

Job Posting Segment:

Direct to Consumer

Job Posting Primary Business:

DTC Analytics and Data Science

Primary Job Posting Category:

Data Science

Employment Type:

Full time

Primary City, State, Region, Postal Code:

New York, NY, USA

Alternate City, State, Region, Postal Code:

USA - CA - 2500 Broadway Street

Date Posted:

2024-10-24