ML & Data Science Engineer

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.

• 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.

• 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.