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Manager Decision Science, Media Mix Modeling
source link: https://www.facebookcareers.com/jobs/1200167627072023/
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Manager Decision Science, Media Mix Modeling
Manager Decision Science, Media Mix Modeling
Manager Decision Science, Media Mix Modeling
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The Consumer Marketing team focuses on building Facebook brand presence, improving user sentiment and product education. We are looking for a Decision Science Manager, Media Mix Modeling on our team. This person will lead our Media mix and attribution efforts and work with members of our Decision Science and Operations teams to improve our marketing efficiency and effectiveness. Key goal for this person will be to apply modeling techniques relevant to media mix modeling optimization and multi-touch attribution to our marketing efforts to connect the impact of marketing activities on business outcomes. This person will also manage a small team of Decision Scientists on projects related to understand marketing performance and ROI. The ideal candidate will have extensive graduate training in economics and econometrics, and will answer important product and business questions by applying appropriate econometric methodologies and developing new methodologies when necessary. Our ideal candidate will also have tremendous passion for building strong brands and understanding user sentiments.
Manager Decision Science, Media Mix Modeling Responsibilities
As a Decision Science manager for Media Mix Modeling and Marketing Attribution, build and enhance market level Media mix models to connect the impact of marketing tactics on business and financial outcomes in the short and long term.
Apply the output of Media mix models to improve user perception and engagement with sustainable ROI by optimizing spend across various channels.
More specifically, apply algorithms such as random forests, Bayesian models, generalized boosted models, generalized additive models, support vector machines, neural networks, time-series forecasting, game theory, or conditional probabilities
develop algorithms for classification tasks such as clustering, latent class analysis, etc.
Implement modeling processes from end-to-end including data gathering, data profiling, numerical model building, calibration, cross-validation, and boosting model accuracy. Interpret and validate model results with statistical validity checks, and design data visualization reports to track model performance and business impact.
Collect, process and validate data from internal and external data sources. Build and/or utilize toolsets and set up processes for extracting information from unstructured data streams.
Work with data engineers to automate input ETL, handle missing data through an algorithmic approach such as multiple imputations to enable insights in sparse and messy datasets.
Work with research team to collect sentiment data.
Run optimization and simulation scenarios to help provide the marketing investment and allocation recommendations to Operations and Finance teams, Marketing leadership and CMO, also build cross-functional relationships to be able to influence the decisions to implement the MMM recommendations to help their strategic planning.
Provide insights to marketing leadership on cost to acquire users, value of digital engagement, and cross-channel impact of media.
Explain complex modeling approaches in simple terms and develop compelling narratives that connect modeling results with business problems.
Proactively partner with other decision scientists to validate and fine tune the model with experimentation.
Manage a small team of decision scientists on projects related to understanding marketing performance and ROI.
We expect this candidate to spend 50% or more time on individual contribution work related to building Media mix models and 50% or less time on managing decision scientists on the team.
Minimum Qualifications
3+ years of hands-on experience with programming marketing mix modeling solutions.
3+ years of hands-on experience with optimization and media budget allocation, including building up the functionality to run different scenarios of budget allocation.
6+ years of experience in analytics or data science teams.
3+ years of managing a team of data scientists, with problem solving skills and providing technical solutions on team coaching.
3+ years of experience working with cross-functional teams, e.g., data engineering, marketing, finance.
Proficiency with predictive modeling techniques and experience in leading media mix and predictive modeling initiatives.
Expertise on hierarchical Bayesian, MCMC, random forests, generalized boosted models, generalized additive models, support vector machines, neural networks, time-series forecasting, ANOVA, multiple regression, principal component analysis, decision trees, clustering and other similar approaches.
Experience programming in SQL and R or Python.
Significant experience coding and maintaining predictive algorithms.
Proven history of developing innovative, cutting-edge causal measurement capabilities across the marketing activities, including TV, print, radio, OOH, SEM, display, online video, owned media, sponsorships and promotions.
Knowledge about media data vendors (e. g., IRI, Kantar, Nielsen, etc.) and digital audience data (e. g., DMPs).
Experience to influence others to achieve buy-in for recommendations.
Preferred Qualifications
Master's or Doctorate degree in statistics, economics, behavioral/social science, psychology, Engineering or a related quantitative field.
Locations
About the Facebook company
Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities — we're just getting started.
Facebook is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or who are neurodivergent, and to candidates with sincerely held religious beliefs or requiring pregnancy related support. If you need support, please reach out to [email protected].
(Colorado only*) Minimum salary of $181,000/year + bonus + equity + benefits
*Note: Disclosure as required by sb19-085(8-5-20)
*Note: Disclosure as required by sb19-085(8-5-20)
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