Staff Data Scientist | Modeling
MachinifyFull Time
Expert & Leadership (9+ years)
Candidates should possess 4+ years of professional experience as an analytics engineer, data engineer, or data scientist, demonstrating expertise in SQL and data modeling, including dimensional modeling and analytics engineering best practices. They should have prior experience in fast-paced, rapidly scaling environments and be comfortable working autonomously with minimal oversight.
The Analytics Engineer will design and build core data models to improve analysis efficiency, define and champion data modeling standards and best practices using tools like dbt, boost data team productivity by improving tooling and streamlining processes, own decisions on tooling selection, partner closely with Data Scientists to ensure analytics requirements are implemented, develop and maintain critical dashboards and reporting, and lead data governance efforts to ensure security, compliance, and quality standards are consistently met.
Advanced answer engine providing reliable information
Perplexity AI provides an advanced answer engine that delivers accurate and reliable responses to user queries. The platform uses current sources to ensure the information is both precise and relevant. It caters to a wide audience, including individuals looking for quick answers and businesses needing detailed information. Unlike many competitors, Perplexity AI emphasizes high-quality, source-backed answers, making it a valuable resource for users seeking trustworthy data. The company's goal is to meet the increasing demand for immediate access to reliable information, generating revenue through subscription fees, advertising, and partnerships.