Minimum qualifications:

• 5 years of industry experience in a data scientist or machine learning engineer role.
  
• Experience with machine learning frameworks such as Tensorflow, Scikit-Learn.
  
• Experience in design, implementation, and delivery of scalable build/test/release agile software development cycle.
  
• Experience with data processing and management with Relational Database Management System (RDBMS) such as Postgres, MySQL, and big data stacks such as Apache Spark.
  

Preferred qualifications:

• Experience in full-stack development for leveraging machine learning solutions.
• Experience with cloud platforms such as Google Cloud Platform (GCP).
  
• Familiarity with front-end development (e.g., D3.js, React JS).
• Excellent written and verbal communication skills to translate technical solutions and methodologies to executive leadership.
  
• Excellent programming skills in at least one of the general programming languages: Python, Java, Scala, C++.
  
  
  
  

Responsibilities

• Work cross-functionally with data scientists, data engineers and program managers to understand, implement, and deploy machine learning pipelines.
• Improve machine learning scalability, usability, and performance.
• Explore technologies to deliver business benefits.
• Communicate results to peers and leaders.
• Advocate processes, standards, and engineering practices.