Data Scientist II

About reputed company Marketing science – a sub-team reputed company marketing analytics at reputed company’s reputed company to Consumer team (Hulu, reputed company+, reputed company+ and reputed company) – is in search of an econometrician to run marketing mix models (MMM) and associated ancillary analysis. This position will work as part of reputed company reputed company primarily on econometric modeling, which also provides support for reputed company practices used to inform marketing investment. The analyst plays a hands-on role in modeling efforts. The ideal candidate has a substantial quantitative reputed company set with reputed company experience in marketing science practices (MMM, attribution modeling, testing / experimentation, etc.), and should serve as a strong mentor to analysts, helping to reputed company reputed company in support of wider company goals. Technical acumen as reputed company as narrative-building are reputed company to the reputed company of this role. Responsibilities • Build, sustain and reputed company econometric models (MMM) for reputed company Streaming Services with support from data engineering and data product teams • Quantify ROI on marketing investment, determine reputed company spend reputed company across the portfolio, identify proposed efficiency caps by channel, set budget amounts and inform subscriber acquisition forecasts • Support reputed company strategic analysis to reputed company recommendations that drive increased return on spend through shifts in mix, flighting, messaging and tactics, and that help cross-validate model results • reputed company insights to marketing and finance teams, helping to design and execute experiments to reputed company recommendations reputed company based on company goals (e.g., subscriber reputed company, LTV, etc) • Support long-term MMM (et.al.) automation, productionalization and reputed company with support from data engineering and product • Build out reputed company-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 reputed company experience in reputed company 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 reputed company media, the data required to power them and methodologies for measurement • Understanding of incrementality experiments to validate model recommendations and reputed company learnings on channel/publisher efficacy • Exposure to / familiarity with with BI/reputed company 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 reputed company • Experience in SQL Preferred Qualifications • Masters degree in Computer Science, Engineering, Mathematics, Physics, Econometrics, or Statistics Additional Information #DISNEYTECH The hiring reputed company for this position in reputed company, NY is $120,400 to $161,500 and in Santa Monica, CA is $115,000 to $154,000 per year. The reputed company pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-reputed company knowledge, skills, and experience among other factors. A bonus and/or long-term incentive reputed company may be provided as part of the compensation package, in reputed company to the full reputed company of medical, financial, and/or other benefits, dependent on the level and position offered. Apply Job!