Data Scientist

3 weeks ago

Austin, United States Meta Full time
Creator Marketing contributes directly to Meta's mission by connecting creators with their audiences and helping them grow through a variety of creator focused tools and features. We succeed when we help our creators creatively express themselves on our platforms and engage with their audience in meaningful ways. As a result, our marketing team seeks to understand how our creators feel about our products and their experience on our platforms so that we can help them better understand Meta's intent and tailor our tools and offerings to specific creator needs to help them ultimately succeed on our platforms. Creator marketing data science team is seeking an experienced data scientist who thrives at the intersection of data, human behavior, marketing, product, and engineering. The Data Scientist will leverage advanced GenAI and machine learning capabilities to drive data driven transformation for creator marketing in areas such as audience segmentation, creative optimization, personalization, lifecycle marketing and media mix modeling. Ideal candidates in this role would love breaking down problems, building solutions, delivering actionable and data-driven insights, and working in a fast-paced, dynamic environment.

Data Scientist Responsibilities

  • Take advantage of massive amounts of structured and unstructured data to understand how our creators interact with our product and service offerings
  • Leveraged cutting edge GenAI capabilities to drive optimization in creator marketing in the areas such as audience segmentation, creative optimization, personalization, lifecycle marketing and media mix modeling
  • Proactively identify opportunities to improve the experience of creators on the Meta family of apps
  • Lead the measurement, analysis, and interpretation of results from data requirement gathering, to modeling, and recommendations
  • Partner with cross-functional teams and leaders to identify new opportunities requiring the use of modern analytical and modeling techniques
  • Design and execute experiments (e.g., A/B testing, multi-armed bandit)
  • Communicate insights and recommendations to marketing leads and influence strategic decision-making


Minimum Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
  • 8+ years of experience in a data science capacity in a business strategy, marketing, finance, engineering, or analytics organization
  • 8+ Experience with data querying and manipulation using SQL, Python, or R Experience with experimental design
  • Experience 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 in leveraging advanced GenAI and machine learning capabilities to deliver data driven insights at scale
  • Proven communication skills and experience to influence outcomes in a cross-functional setting


Preferred Qualifications

  • Doctorate degree in computer science or machine learning
  • Self-starter, comfortable with ambiguity, experience initiating and driving projects with minimal oversight and guidance
  • Exceptional analytical skills on complex datasets and experience solving ambiguous problems using data with interest to establish robust measurement frameworks
  • Proven track record of leveraging data to deliver business value and present data-driven insights to senior leaders
  • Experience developing data pipelines via SQL and Python-based ETL framework
  • Experience with or in online marketing and advertising data analysis
  • Experience building cross functional relationships across a variety of functions to launch projects to drive business value

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