Data Scientist, Business Marketing Group
Austin, TX | Menlo Park, CA
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
- 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.
- 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
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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