ML & Data Science Engineer

TechDigital Group; Sunnyvale (CA); On-site; USD 100,000 - 130,000; Full time

Job summary

A leading technology company in Sunnyvale is seeking a skilled professional to design and develop machine learning systems. The ideal candidate will have a Bachelor's degree in a quantitative discipline and at least three years of experience in analytics. Strong skills in Python, SQL, and statistical software are required, along with excellent teamwork capabilities. This role promises an exciting opportunity to work on innovative projects in a dynamic environment.

Qualifications

• 3+ years of experience in analytics or similar fields.
• Experience with SQL and statistical software.
• Experience in software engineering for data analysis.

Responsibilities

• Design machine learning systems to automate predictive models.
• Develop ML algorithms to analyze historical data.
• Run tests, conducting statistical analysis.

Skills

Machine learning systems design

Statistical analysis

Collaboration

Interpersonal communication

Scripting languages (Python, Perl)

Data manipulation (SQL)

Education

Bachelor's degree in a quantitative discipline

Tools

R

SAS

MATLAB

Numpy/Pandas

Job description

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.