Data Scientist

Opus Clip 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 20 million creators and businesses have used Opus Clip 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 Soft Bank Vision Fund, DCM Ventures, Millennium New Horizons, Fellows Fund, AI Grant, Jason Lemkin (Saa Str), Samsung Next, GTMfund, Alumni Ventures, and many more.

Check out our latest coverage by Business Insider featuring our product and funding milestones, and our recognition as one of The Information's 50 Most Promising Startups in 2024.

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

Be a part of this exciting journey with us!

Opus Clip 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.

This is a Contract role 6-9 months.

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.

• Validate reporting tables and dashboards against their source data.
• Establish clear definitions, assumptions, sources, and owners for important metrics.
• Develop monitoring for duplicate events, unexpected volume spikes, null values, stale data, and reporting discrepancies.
• Investigate tracking and data‑quality issues across product events and downstream reporting tables.
• Help teams distinguish genuine changes in user behavior from instrumentation or pipeline problems.

• Conduct post‑launch analyses for major product features and workflows.
• Analyze adoption, activation, funnels, retention, segmentation, and user behavior.
• Translate ambiguous business questions into structured analytical plans.
• Turn findings into actionable recommendations for product and business stakeholders.
• Support our data analyst with complex or high‑priority analytical requests.

• Analyze subscriber retention, monetization, and customer lifetime value.
• Compare user and revenue behavior across plans, segments, and payment platforms.
• Partner with Finance to validate reporting logic and investigate discrepancies.
• Communicate assumptions and data limitations clearly when working with financial and payment‑related data.

• Support data curation, measurement design, and evaluation for AI‑powered product experiences.
• Define offline and online success metrics for model‑driven features.
• Analyze model quality, user behavior, and post‑launch business impact.
• Partner on experimentation, segmentation, and ongoing performance monitoring.

• Typically 3+ years of experience in data science, product analytics, decision science, or a closely related field—or equivalent experience owning work at this level.
• Advanced SQL skills, including complex…