Data Scientist, Small Business Group
Austin, TX | Menlo Park, CA | New York City
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.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
Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta.
Tags: A/B testing Computer Science Data analysis Data pipelines Economics Engineering ETL Finance ggplot2 Git Mathematics Pandas Physics Pipelines Python R Research Scikit-learn SQL Statistical modeling Statistics statsmodels Testing VR
Perks/benefits: Career development Equity Health care Salary bonus
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