Description

Lead engineering efforts to build, scale, and maintain the platform analytics architecture.

This role is on-site.

Responsibilities

• Define and implement new analytics architecture to meet project deadlines.
• Develop tools to capture, analyze, and automate hardware and software events.
• Manage data-driven projects that improve hardware platform performance and software release reliability.
• Analyze systems data to recommend strategies and decisions to hardware engineering leadership.
• Facilitate business decision-making through rigorous data analysis techniques.

Required Skills

• 5+ years of experience using Python.
• Minimum 3 years of experience using SQL.
• Experience with AWS web services, including SageMaker, S3, and Vault.
• Strong background in statistics.
• Industry experience implementing Machine Learning.
• Familiarity with evaluating ML algorithms, such as Statistical Analysis, Anomaly Detection, and Data Quality.
• BS or advanced degree in CS/CE or equivalent experience.

Preferred Skills

• Experience with Snowflake or other databases.
• Proficiency with Git, Jenkins, or Airflow.

Key Skills

Education

BS or advanced degree in CS/CE