Resend
SaaS • API • B2B
Resend is a developer-focused email platform designed to deliver transactional and marketing emails at scale. Its simple and elegant interface, along with SDKs for various programming languages, allows for seamless integration into developers' workflows. Companies of all sizes trust Resend for reliable email delivery, helping them reach humans instead of spam folders. The platform offers features like modular webhooks, contact management, broadcast analytics, and a powerful editor for creating beautiful email templates using React. Resend also provides insights into email interactions, secure domain authentication, and dedicated IP management to enhance deliverability.
Data Scientist, Trust & Safety
October 14
Resend
SaaS • API • B2B
Resend is a developer-focused email platform designed to deliver transactional and marketing emails at scale. Its simple and elegant interface, along with SDKs for various programming languages, allows for seamless integration into developers' workflows. Companies of all sizes trust Resend for reliable email delivery, helping them reach humans instead of spam folders. The platform offers features like modular webhooks, contact management, broadcast analytics, and a powerful editor for creating beautiful email templates using React. Resend also provides insights into email interactions, secure domain authentication, and dedicated IP management to enhance deliverability.
📋 Description
• Facilitate a novel, zero-friction approach to email sending • Investigate the root-causes of anomalies and gang attacks • Analyze signal effectiveness: precision, recall, drift, overlap, etc • Consult with data engineering to shape purpose-built data pipelines • Deeply understand and stay up to date on email abuse vectors and trends • Build dashboards and alerts for real-time visibility into behavior and policy violations • Build machine learning models to prevent abuse at scale with zero false-positive budget
🎯 Requirements
• Fluent in SQL and Python • Completed a relevant scientific or mathematical degree • Proven ability to productize algorithms for real-time systems • You thrive in ambiguity and can build frameworks out of thin air • Great communicator that can explain complicated models to non-data folks • +2 years of professional experience in relevant role working with massive data sets
🏖️ Benefits
• Remote work • Great teammates • Consistent work hours
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🇺🇸 United States – Remote
💵 $170k - $720k / year
💰 $20M Post-IPO Equity on 2022-01
⏰ Full Time
🟡 Mid-level
🟠 Senior
📊 Data Scientist
🦅 H1B Visa Sponsor