Deliver effective big data and machine learning solutions and solve technical customer issues.
Act as a technical advisor to Google’s customers.
Identify new product features and feature gaps, provide guidance on existing product issues, and collaborate with product managers and engineers to influence the roadmap of Google Cloud Platform.
Deliver best practice recommendations, tutorials, blog articles, and technical presentations adapting to different levels of key business and technical stakeholders.
Minimum qualifications:
Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
Experience building machine learning or data science solutions.
Experience writing software in Python, Scala, R, or similar.
Experience with data structures, algorithms, and software design.
Ability to travel up to 30% of the time.
Preferred qualifications:
Experience working with recommendation engines, data pipelines, or distributed machine learning, data analytics, data visualization techniques and software, and deep learning frameworks.
Experience in software development, professional services, solution engineering, technical consulting, architecting and rolling out new technology and solution initiatives.
Experience with core data science techniques.
Knowledge of cloud computing, including virtualization, hosted services, multi-tenant cloud infrastructures, storage systems, and content delivery networks.
Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, Extract, Transform, and Load (ETL)/Extract, Load and Transform (ELT) and reporting/analytic tools and environments.
Excellent customer-facing communication and listening skills.
