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Intro: 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.Summary: We are seeking an experienced Data Scientist who can partner effectively with the Marketing Automation team on their key priorities to grow and optimize Facebook’s Personalized cross channel marketing efforts. The Data Scientist should be able to run robust analyses, make recommendations based on data pulled from internal and external sources, show strong business intuition, manage data pipelines and dashboards, and have the ability to work independently. They should be able to drive and deliver on the measurement and experimentation framework for Marketing Automation team projects. The Data Scientist will work directly with stakeholders across Facebook’s key Marketing teams to help shape measurement deliverables and roadmaps, while analyzing marketing efforts using analytics and data science.Required Skills: Partner with marketing, digital, research and product organizations to scope, design, execute, measure, and improve the impact of Marketing Automation
Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how to optimized GBM’s Marketing Automation efforts
Hands-on with end-to-end quantitative analysis, tools and models to support marketing decision making
Leverage advanced statistical techniques like incrementality, experiment design, regression analysis, clustering, causal inference, synthetic control selection, etc. to measure digital marketing KPIs, ROI, marketing effectiveness, LTV, ROAS, sentiment analysis, etc.
Drive end-to-end insights creation-to-consumption lifecycle, leading business problem definition, hypotheses formulation, designing and delivering the solution to support business decisions and outcomes
Work effectively in close partnership with marketing and digital leadership, using data/insights to drive strategy including creation and evaluation of marketing programs
Build new metrics, dashboards and insights to measure Marketing Automation’s marketing activities in order to optimize and scale their actions
Translate data insights into actions and recommendations that will drive marketing effectiveness and tell the story to executive audiences on user growth, marketing performance and product adoption
Help create, maintain, and improve key data sets, pipelines, and reporting to track and manage Partnerships Marketing activities
Minimum Qualifications: Bachelor’s in Engineering, Statistics, Economics, Applied mathematics, Data Science or equivalent experience or related field
6+ years of work experience in Data Science, Marketing Analytics, Product Analytics Consulting, Decision Science and/or Business Analytics or 4+ years of experience with MBA/Master’s
4+ years experience in SQL
4+ years experience in applying statistical techniques in a business and/or marketing context using R, Python, SAS, SPSS, MATLAB
Experience in incrementality, experiment design, regression analysis, clustering, causal inference, synthetic control selection, etc.
Experience leveraging data driven models to drive business decisions and building visualizations using large datasets and multiple data sources
Preferred Qualifications: MBA/MS/PhD degree in a quantitative field
Experience managing and prioritizing multiple concurrent projects and driving initiatives in a large cross-functional environment
Experience in a consumer technology company
Experience guiding and mentoring junior analysts
Experience operating within globally distributed teams
Experience developing data pipelines via SQL and Python-based ETL framework
Experience shipping code into production
Industry: InternetEqual Opportunity: Facebook is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Facebook is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.
Vacancy expired!