Staff Software Engineering - Analytics Engineering, Core Data Science

What you'll do

• Mentor a diverse team of analytics engineers while fostering an inclusive team culture.
• Develop and communicate best practices for instrumentation and experimentation to product engineering teams.
• Build and prototype AI tools and analysis pipelines to provide insights at scale.
• Use AI to automate documentation, draft pipelines, and accelerate the prototyping process.
• Create tools and processes that enable self-service of key datasets and metric investigations.
• Drive strategies for data quality, data democratization, and comprehensive documentation of tools.
• Collaborate cross-functionally with product managers and designers to translate insights into new features.

What we're looking for

• 6+ years of experience working with data in a fast-paced, data-driven environment.
• Proficiency in SQL and a scripting language like Python or R to manipulate large, complex datasets.
• Experience conducting workflow orchestration and ETL/ELT with huge datasets and handling DAG data dependencies.
• Demonstrated ability to use AI to improve workflow speed while ensuring quality through critical evaluation and verification.
• Proven track record of delivering analytics solutions and translating open-ended goals into defined objectives.
• Bachelor's, Master's, or PhD in a quantitative field such as Computer Science, Statistics, Mathematics, or equivalent experience.
• Experience in automation, anomaly detection, or infrastructure/workflow optimization (preferred).
• Experience building internal tooling to maximize engineering velocity (preferred).