Lead Analytics Engineer

As a Lead Analytics Engineer, you will be responsible for the technical design, development and monitoring of data products, data engineering pipelines, feature store platform, and packages and processes that will help streamline the creation and deployment of data science solutions made by our Data Scientists. You will also be mentoring other engineers in their technical and professional growth.

NATURE OF WORK

• Lead a team of analytical engineers in supporting ML/AI-centric solutions
• Work with our Data Scientists to design datasets that are useful for creating statistical and machine-learning models.
• Design, develop, and maintain feature stores as well as the accompanying data pipelines that will be used in training, inferencing, and model monitoring workflows
• Set the technical direction of the analytics engineering domain within the MarTech and Personalization DS group and manage the technical quality of data solutions. This may include:
• Implementing data quality and integrity checks and ensure the quality and availability of data sources in accordance with their SLAs.
• Proactively align with Data Engineering and Data Governance team to achieve maturity in the data.
• Be the expert on various business or data domains to support the data science initiatives
• Creation and maintenance of software packages for use by our Data Scientists to help improve their model development workflow.
• Building CI/CD pipelines to improve time to deployment of data pipelines and proactively catch issues before they hit production
• Ensure that the team adheres to best practices for code and architecture of data pipelines. Do code and architecture reviews to ensure adherence to best practices

REQUIRED QUALIFICATIONS

• With at least a bachelors degree in any quantitative discipline (i.e. Computer Science, Math, Physics, etc)
• Having at least 4 years of experience transforming business logic into data models
• Having at least 4 years of experience in creating building and maintaining ETL pipelines
• Having at least 2 years of experience in managing stakeholders
• Having at least 1 year of experience in leading other engineers/developers