Business Marketing Group (BMG) 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 BMG 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, Business Marketing 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 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 to identify new opportunities requiring the use of modern analytical and modeling techniques
- Applies multiple statistical approaches as needed
- Writes elegant, reproducible code as needed to execute analyses
- Design and execute experiments (e.g., A/B testing, multi-armed bandit)
- Communicate insights and recommendations to business leads and influence strategic decision-making
- Makes use of optimized storage and access solutions to ensure high-performance
- Follows standard software engineering processes to design, develop, document, review, test, analyze, and release code
- Identifies appropriate data collection tools, techniques, or methods to be used for a specific research problem
- Leverages internal data, as well as market trends, to triangulate data sources and create well-informed business narratives that drive action
Minimum Qualifications:
- Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
- 3+ years of experience in a data science capacity in a business strategy, marketing, finance, engineering, or analytics organization
- 3+ years of 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 with stake holder communication and presentation skills
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
Preferred Qualifications:
- An MBA or Master's or Doctorate degree in a quantitative discipline like Math, Statistics, Economics, Computer Science, Physics, Engineering, Operations Research
- Self-starter, comfortable with ambiguity, experience initiating and driving 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 developing data pipelines via SQL and Python-based ETL framework
- Experience with or in online marketing and advertising data analysis
- Experience using version control tools such as git or mercurial
- 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 working with or in support of diverse communities
About Meta:
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.
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.
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