Data Scientist - Global Business Product Marketing

Global Business Product Marketing (GBPM) contributes directly to Meta's mission by connecting advertisers and businesses with their customers and helping them grow through a variety of advertising solutions. We succeed when we help our customers grow their business. The GBPM team is searching for a Data Scientist. The Data Scientist will run experiments and build models to provide insight into our customer base, identify opportunities, and measure the impact of our marketing strategy and tactics. Ideal candidates love breaking down problems, building solutions, delivering actionable and data-driven insights, and working in a fast-paced, dynamic environment.Data Scientist - Global Business Product Marketing ResponsibilitiesTake advantage of massive amounts of structured data to understand how our customers interact with our product and service offeringsProactively identify opportunities to improve the experience of businesses on the Meta family of appsLead the measurement, analysis, and interpretation of results from data requirement gathering, to modeling, and recommendationsPartner with cross-functional teams to identify new opportunities requiring the use of modern analytical and modeling techniquesDesign and execute experiments (eg, A/B testing, multi-armed bandit)Communicate insights and recommendations to business leads and influence strategic decision-makingMinimum Qualifications5+ years of experience in a data science capacity in a business strategy, marketing, finance, engineering, or analytics organization5+ Experience with data querying and manipulation using SQL, Python, or R Experience with experimental designExperience with data analysis and statistical modeling using the R or Python ecosystems, with packages such as pandas, Statsmodels, Scikit-learn, Tidyverse (dplyr, ggplot2, etc.)Experience with stake holder communication and presentation skillsBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.Preferred QualificationsAn MBA or Master's or Doctorate degree in a quantitative discipline like Math, Statistics, Economics, Computer Science, Physics, Engineering, Operations ResearchSelf-starter, comfortable with ambiguity, experience initiating and driving projects with minimal oversight and guidanceProven track record of leveraging data to deliver business value and present data-driven insights to business audiencesExperience developing data pipelines via SQL and Python-based ETL frameworkExperience with or in online marketing and advertising data analysisComfortable using version control tools such as git or mercurialExperience building cross functional relationships across a variety of functions to launch projects to drive business valueExperience communicating with and influencing technical and non-technical audiences (engineers, data scientists, program managers, marketers)Experience shipping code into productionExperience working with or in support of diverse communitiesLocationsAbout MetaMeta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to (see below)$134,000/year to $204,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.