Senior AI/ML Data Engineer, Unbounce

• You have 5 to 10 years of experience in Data & Analytics
• Strong communicator, skillful at raising strategic recommendations to leadership and business stakeholders that advance the business decision-making process through the use of enterprise-level analytical solutions
• You excel at working with non-technical stakeholders to help translate, manage and drive business needs into actionable insights
• Extensive experience with BI Tools (Tableau, Power BI, etc)
• Proven experience building data models and advanced analytics solutions (predictive models, multivariate testing, statistical analysis)
• Excellent SQL Skills – you are comfortable working with complex datasets and writing efficient code to create effective data models
• You build relationships across the organization to develop and maintain trust
• You’re skillful at making strategy recommendations and working with senior management to identify problems, solutions, and insights to drive the business forward
• Experience working in a SaaS/E-commerce environment
• You’re experienced in project management: managing and prioritizing tasks across teams (we use agile ceremonies, and JIRA to track our work), knowing who to loop in when, and providing timely updates to your stakeholders
• You’re familiar with 3rd party tooling and data integrations and with monitoring/maintaining data integrity across multiple systems
• Familiar with data warehouse design, database management and distributed systems

Desirable

• The Data Platform team is responsible for creating and maintaining the ecosystem upon which all of Unbounce’s data needs are built—this includes data processing, data science, machine learning and data analysis
• Designing and implementing platform solutions to solve modern data problems, such as:
• Infrastructure to support all aspects of model training; data collection, categorisation and evaluation
• Self-serve rapid prototyping, deployment, and evaluation of machine learning features for our ML Engineers and Data Scientists
• Self-serve data discoverability and analysis for all Unbouncers (both technical and non-technical)
• Secure, flexible and performant APIs with granular access controls for both internal and external clients
• Data observability, governance and lineage
• Event-based stream data architecture, using tooling such as Kafka
• Orchestrated/batch-based data architecture, using tools such as Airflow
• Working closely with our partners in Data Analytics, Data Science and Machine Learning, and the wider Engineering organization to refine requirements and deliver high-impact, customer-facing data solutions
• Drive and participate in the creation and review of solution designs and architecture
• Educate and provide guidance to the wider organization on industry best practices
• Develop, improve and support infrastructure for existing data solutions on our warehouses and event streams