Minimum qualifications:

• Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
  
• 3 years of experience building Machine Learning or Data Science solutions.
  
• Experience with data structures, algorithms, software design, and coding in Python, Scala, R, or similar.
  
• Ability to travel up to 30% of the time as needed.
  

Preferred qualifications:

• Experience working with recommendation engines, data pipelines, or distributed machine learning. Experience with data analytics, data visualization techniques and software, and deep learning frameworks.
  
• Experience in software development, professional services, solution engineering, technical consulting. Expertise in architecting and rolling out new technology and solution initiatives.
  
• Experience with core Data Science techniques.
  
• Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools and environments.
  
• Knowledge of cloud computing, including virtualization, hosted services, multi-tenant cloud infrastructures, storage systems, and content delivery networks
  
• Excellent customer-facing communication and listening skills.
  
  
  

Responsibilities

• Deliver effective big data and machine learning solutions and solve complex technical customer challenges.
• Act as a trusted technical advisor to Google’s most strategic customers.
• Identify new product features and feature gaps, provide guidance on existing product challenges, and collaborate with Product Managers and Engineers to influence the roadmap of Google Cloud Platform.
• Deliver best practices recommendations, tutorials, blog articles, and technical presentations adapting to different levels of key business and technical stakeholders.