Data Science Specialist - ML Specialist
Role : ML & Data Science Engineer
Location: Sunnyvale, CA – Day 1 Onsite
Duration : Contract
Primary 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:
● Masters 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
Role : ML & Data Science Engineer
Location: Sunnyvale, CA – Day 1 Onsite
Duration : Contract
Primary 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:
● Masters 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
