The Small Business Group (SBG) contributes directly to Facebook's mission by connecting small businesses with their customers and helping them grow through solutions like pages, advertising, and offers. We succeed when we help our customers grow their business. The SBG team is searching for a Data Scientist. The Data Scientist will use data analysis to understand customer profiles, produce reports to track our business, build models to provide insight into the Small Business customer base, identify opportunities, and impact the strategy of our Product, Marketing, and Sales teams. Ideal candidates love breaking down problems, building solutions, delivering actionable and data-driven insights, and working in a fast-paced, dynamic environment.
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Data Scientist, Small Business Group Responsibilities:
- Take advantage of massive amounts of structured data to understand how our customers interact with our product and service offerings
- Proactively identify opportunities to improve the experience of businesses on the Facebook family of apps using data science
- Lead the design, analysis, and interpretation of projects from data requirement gathering to data processing, modeling, and recommendations
- Partner with cross-functional teams 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 business leads and influence strategic decision-making
- Frequently switch between on-the-ground tactical execution and 30k foot strategy
- 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.)
- BA/BS in a quantitative discipline like Math, Statistics, Economics, Computer Science, Physics, Engineering, Operations Research, or equivalent training
- 5+ years of experience in a data science capacity in a business strategy, marketing, finance, engineering, or analytics organization
- Experience with data querying and manipulation using SQL, Python, or R
- Experience with experimental design
- Communication and presentation skills
- Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience.
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
- An MBA or Master's or Doctorate degree in a quantitative discipline like Math, Statistics, Economics, Computer Science, Physics, Engineering, Operations Research
- Self-starter, experience working in ambiguity, experience to initiate and drive projects with minimal oversight and guidance
- Proven track record of leveraging data to deliver business value and present data-driven insights to business audiences
- Experience building cross functional relationships across a variety of functions to launch projects to drive business value
- Experience communicating with and influencing technical and non-technical audiences (engineers, data scientists, program managers, marketers)
- Experience developing data pipelines via SQL and Python-based ETL framework
- Experience shipping code into production
- Experience working with or in support of diverse communities
- Experience writing testable code
- Experience using version control tools such as git or mercurial
- Experience with Small Business landscape and/or online marketing and advertising
Meta 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 proud to be an Equal Employment 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. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta 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.