Data Scientist

Overview

• Be a Champion Team
• Prioritize Ruthlessly
• Ship fast, Quality Follows
• Obsess over customers

Compensation: $85K – $115K • Offers Equity • Offers Bonus

🎨 OpusClip https://www.opus.pro is the world's No.1 AI video agent, built for authenticity on social media.

We envision a world where everyone can authentically share their story through video, with no expertise needed. Within just 18 months of our launch, over 10 million creators and businesses have used OpusClip to enhance their social presence.

We have raised $50 million in total funding and are fortunate to have some of the most supportive investors, including SoftBank Vision Fund, DCM Ventures, Millennium New Horizons, Fellows Fund, AI Grant, Jason Lemkin (SaaStr), Samsung Next, GTMfund, Alumni Ventures, and many more.

Check out our latest coverage by Business Insider https://www.businessinsider.com/opusclip-softbank-vision-fund-2-funding-valuation-2025-3 featuring our product and funding milestones, and our recognition as one of The Information's 50 Most Promising Startups in 2024. https://www.linkedin.com/posts/yzopus_opusclip-has-been-recognized-by-the-information-activity-7255358200395243520-zhOz/?utm_medium=member_desktop&utm_source=share

Headquartered in Mountain View, we are a team of 100 passionate and experienced AI enthusiasts and video experts, driven by our core values:

Be a part of this exciting journey with us!

ABOUT THE ROLE

OpusClip is looking for a product-oriented Data Scientist to help us build trusted metrics, improve data quality, and turn complex product and customer data into clear business decisions.

In this role, you will own critical definitions across feature adoption, weekly active usage, credit consumption, user segmentation, retention, and lifetime value. You will validate reporting data against its source, investigate data-quality issues, and lead analyses that help Product, Finance, and AI teams understand what is working, what is not, and where we should invest next.

This is a hands-on role for someone who is equally comfortable writing SQL, investigating unexpected data, defining metrics with stakeholders, and communicating a clear recommendation.