Data Scientist Lead, Trust and Safety

OpenSea is the first and largest marketplace for , or NFTs
Applications for NFTs include collectibles, gaming items, domain names, digital art, and many other items backed by a blockchain
OpenSea is an open, inclusive web3 platform, where individuals can come to explore NFTs and connect with each other to purchase and sell NFTs
At OpenSea, we're excited about building a platform that supports a brand new economy based on true digital ownership and are proud to be recognized as ranked top private company
When hiring candidates, we look for signals that a candidate will thrive in our culture, where we default to trust, embrace feedback, grow rapidly, and love our work
We also know how critical it is to celebrate and support our differences
Employing a team rich in diverse thoughts, experiences and opinions enables our employees, our product and our community to flourish
We are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status
To help facilitate this, we support remote, hybrid or onsite work at either New York City, San Francisco or the Silicon Valley for the majority of our opportunities
We are looking for an experienced data expert – Data Scientist, Data Analyst – to join our Trust and Safety engineering organization
If you are enthusiastic about earning users’ trust, and have experience in the adversarial data analysis domain, we want to hear from you!   In this role, you will build the foundational data solutions for OpenSea’s Trust and Safety challenges
You will apply your data skills to protect the NFT ecosystem
  You will collaborate closely with our Engineering, Product, Policy, Operations


    • Conduct thorough data insights for the company's Trust and Safety investment
    • Create, standardize, and improve metrics reporting, and launch experimentation
    • Evaluate and improve detection models, optimize human review process, track end-to-end T&S system data quality
    • Intake abuse intelligence, identify new abuse patterns, prototype new methodologies
    • Collaborate with XFN stakeholders

Desired Experience

    • Bachelor's degree in Computer Science or related technical field
    • 4+ years of experience in Data Scientist, Analyst, Machine Learning or equivalent roles
    • Experience in adversarial domains like abuse/fraud/spam prevention, anomaly detection, finance risk management, trust and safety
    • Proven record of generating insight from in-depth data analysis
    • Exposure to ML model development and data pipeline framework 
    • Growth-minded, data and impact driven
    • Thrive in a collaborative XFN environment
    • If you don't think you meet all of the criteria above but still are interested in the job, please apply
      Nobody checks every box, and we're looking for someone excited to join the team

Nice-to-Have Skills

    • Team leadership experience(Big plus)
    • Web3 ecosystem experience

The base salary for this full-time position, which spans across multiple internal levels depending on qualifications, ranges between 145,000 – $255,000 plus benefits & equity

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