Data Scientist, Analytics
Menlo Park, CA
- Utilize advanced knowledge of statistics, data mining, business intelligence, Hadoop, Hive, SQL, Excel and MicroStrategy to drive efficient analytics and reporting.
- Will analyze data and statistical results to identify actionable insights, suggest recommendations and influence the direction of Meta’s product decisions and product launches by effectively communicating results to cross functional groups, including Online Ops, Product, and Engineering teams.
- Will leverage data to provide insights about user behavior and to inform business decisions.
- These business recommendations will be based on data mining on large, complex data sets and applying concepts in number theory, computational theory, data structures and algorithms.
- They will predict and understand user patterns through analytical and statistical metric analysis.
- They will apply quantitative skills in predictive modeling, statistical analysis, A/B tests, regression models, and machine learning to gather data insights.
- Requires a Master's degree in Computer Science, Engineering, Statistics, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field.
- Requires completion of a university-level course, research project, internship, or thesis in the following:
- 1. Performing quantitative analysis including data mining on highly complex data sets
- 2. Data querying language: SQL
- 3. Reporting using Hadoop, Hive, or MicroStrategy
- 4. Statistical or mathematical software including one of the following: R, SAS, or Matlab
- 5. Applied statistics or experimentation, such as A/B testing, in an industry setting
- 6. Machine learning techniques
- 7. ETL (Extract, Transform, Load) processes
- 8. Relational databases
- 9. Large-scale data processing infrastructures using distributed systems
- 10. Quantitative analysis techniques, including one of the following: clustering, regression, pattern recognition, or descriptive and inferential statistics
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Tags: A/B testing Business Intelligence Clustering Computer Science Data Mining Distributed Systems Engineering ETL Excel Hadoop Machine Learning Mathematics Matlab Physics Predictive modeling R RDBMS Research SAS SQL Statistics Testing VR
Perks/benefits: Career development Equity / stock options Health care Salary bonus
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