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Analytics Engineer, Trust and Safety

Notion LogoNotion
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Salary

$170,000 - $235,000

Location

San Francisco, California

Since the launch of Notion, the company has been on a mission to make toolmaking ubiquitous - from wikis to documents, notes, tasks, databases, etc. A strong product intuition and focus on users have helped the company achieve adoption across businesses of all sizes. Today, millions of users rely on Notion's building blocks to get their work done.

As Notion continues to grow quickly, ensuring user safety and platform integrity becomes increasingly critical. There is a unique opportunity to build the data foundations that power Trust & Safety initiatives and help protect our community while maintaining the open, collaborative nature that makes Notion special. This is where you come in — to design and build reliable, trusted and timely datasets that accelerate Trust & Safety decision-making, detect harmful content, prevent abuse, and ensure compliance. You will have a strong impact on making Notion a safer platform for millions of users worldwide.

What You'll Achieve:

  • You'll define the processes and ETL infrastructure to transform and make Trust & Safety data readily available to help understand emerging abuse patterns, size impact of solutions, prioritize future projects
  • You'll build core datasets to serve as unique sources of truth for Trust & Safety functions including abuse detection, content policy enforcement, user safety metrics, fraud prevention, and regulatory compliance
  • You'll partner with internal stakeholders to understand their needs and then design, build and monitor pipelines that enable real-time threat detection and rapid response to safety incidents
  • You'll implement automated workflows that support content moderation at scale, define and uphold SLAs for critical safety data delivery, and build dashboards and self-serve analytics tools for Trust & Safety teams

Skills You'll Need to Bring:

  • You are a self-starter and continuously gather and synthesize high-impact needs from business partners, design and implementing the appropriate technical solutions, and effectively communicating about deliverables, timelines and tradeoffs
  • You've spent 5+ years as an analytics or data engineer building core datasets and supporting business verticals as needed. You are passionate about analytics use cases, data models and solving complex data problems
  • You have hands-on experience in the Trust & Safety domain
  • You have hands-on experience shipping scalable data solutions in the cloud (e.g AWS, GCP, Azure), across multiple data stores (e.g Snowflake, Redshift, Hive, SQL/NoSQL, columnar storage formats) and methodologies (e.g dimensional modeling, data marts, star/snowflake schemas)
  • You are an SQL expert. You intimately understand aggregation functions, window functions, UDFs, self-joins, partitioning and clustering approaches to run correct and highly-performant queries
  • You are highly comfortable with object-oriented programming paradigms (e.g Python, Java, Scala)

Nice to Haves:

  • You have worked at a fast-growing start-up, a SaaS company or are eager to contribute in such an environment (being a current Notion user would be great!)
  • You have hands-on experience in designing and building highly scalable and reliable data pipelines using BigData stack (e.g Airflow, DBT, Spark, Hive, Parquet/ORC, Protobuf/Thrift, etc)

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