Responsibilities
- Design machine learning systems to automate predictive models.
- Develop ML algorithms to analyze historical data to make predictions.
- Run tests, performing statistical analysis, and interpreting test results.
- Develop and support data pipelines to extract, transform and load data into Google Data Center data warehouse.
- Demonstrate ability and willingness to learn quickly and complete large volumes of work with high quality.
- Demonstrate outstanding collaboration, interpersonal communication and written skills with the ability to work in a team environment.
Minimum qualifications
- Bachelor's degree in a quantitative discipline (e.g., Statistics, Computer Science, Math, Physics, Engineering), or equivalent practical experience.
- 3+ years of experience in analytics or similar fields.
- Experience with scripting languages (e.g. Python, Perl, etc.).
- Experience manipulating data sets in SQL and using statistical software (e.g., R, SAS, MATLAB, Numpy/Pandas).
- Experience in software engineering, including gathering data for analysis, performing data filtering and preparation, and running tests at scale.
Preferred qualifications
- Master\'s degree in a quantitative discipline.
- Experience in machine learning (e.g., supervised learning, clustering).
- Experience designing data models or table schema.
- Experience writing and maintaining extract, transform, and load scripts which operate on a variety of structured and unstructured sources.
- Knowledge of statistics (e.g., probability theory, hypothesis testing, regressions), and experimentation theory.
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