--- title: 'Data Scientist at OpusClip' canonical: 'https://feeny.ai/job/data-scientist-opusclip-burnaby-74v9285wb9j3' type: 'job' last_seen: '2026-10-17' --- # Data Scientist at OpusClip - **Company:** OpusClip - **Location:** Burnaby, Canada - **Employment:** contract - **Work type:** onsite - **Posted:** 2026-09-24 - **Last confirmed live:** 2026-10-17 - **Apply:** https://jobs.ashbyhq.com/opusclip/5689889b-c76f-4ba5-8f40-a17493f59ea5 ## Job description 🎨 [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 20 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 Champion Team - Prioritize Ruthlessly - Ship fast, Quality Follows - Obsess over customers 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. 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. ## What You’ll Do Strengthen data quality and metric governance - 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. Lead product and business analysis - 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. Support retention, LTV, and Finance analytics - 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. Partner with our AI teams - 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. ## What We’re Looking For - 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 joins, window functions, event-level analysis, cohort analysis, and query debugging. - Strong Python skills for analysis, automation, validation, and statistical work. - Experience analyzing product usage, feature adoption, funnels, retention, segmentation, or monetization. - Experience defining and governing metrics, rather than only using existing definitions. - Strong data-validation instincts, including checking joins, duplication, nulls, freshness, source consistency, and tracking changes. - Experience working with event data from Mixpanel, or a similar product analytics platform. - Experience building or maintaining dashboards using tools such as Superset, Looker, Tableau, or Power BI. - Working knowledge of experimentation, statistical inference, and the limits of causal conclusions. - Strong ownership and the ability to make progress when requirements are ambiguous. - Clear communication skills and experience partnering with both technical and non-technical stakeholders. ## Nice to Have - Experience with BigQuery or another cloud data warehouse. - Experience in a product-led SaaS, subscription, consumer software, creator-economy, or AI product company. - Experience analyzing subscription payments, retention, revenue, or LTV. - Familiarity with Stripe, Apple, Google Play, PIX, or other payment-platform data. - Experience with automated data-quality monitoring or anomaly detection. - Experience partnering with ML or AI teams on model evaluation, data curation, or online experiments. - Familiarity with semantic layers, metric stores, or governed self-service analytics. - Exposure to orchestration and transformation tools such as Prefect, Airflow, or dbt. - Awareness of data governance, PII protection, and column-level access controls. - Experience using AI tools to accelerate analytical work while independently validating the output. What Success Looks Like Within your first six months, you will have: - Established trusted definitions for our priority product and business metrics. - Restored or improved reporting for feature adoption, WAU, and credit consumption. - Validated critical reporting tables against their source data. - Introduced proactive monitoring for high-impact data-quality issues. - Delivered product analyses that directly informed roadmap, launch, or experimentation decisions. - Improved the reliability and turnaround time of analytical support for Product, Finance, and other teams. - Become a trusted analytical partner who can move from an ambiguous question to a clear, evidence-based recommendation. ## Why Join Us - Own metrics and analyses that directly influence product and business decisions. - Work closely with Product, Engineering, Finance, CX, and AI teams. - Help shape the analytical foundation of a fast-growing AI product. - Work with a modern data stack that includes BigQuery, Mixpanel, Superset, Python, Prefect, and Statsig. - Tackle a mix of product analytics, data quality, experimentation, monetization, and AI evaluation. - Grow toward broader ownership in product data science, experimentation, metric governance, or analytical leadership. If you enjoy finding the truth behind the numbers—and making that truth useful to the people building the product—we’d love to hear from you. EEO OpusClip is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristics. OpusClip considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Opus Clip is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. ## About OpusClip ## Company Overview - **One-liner**: OpusClip provides an AI-powered video clipping and editing platform that automatically transforms long-form video content into short, viral-ready clips for social media. - **Entity Type**: Private (Series A) - **Headquarters**: Palo Alto, California, USA (with offices in San Francisco, Vancouver, and Los Angeles) - **Founded**: 2022 - **Founders**: Young Z. (Co-Founder) ## Core Business - **Primary industry/industries**: AI-powered video creation and editing software, Social Media Content Tools - **Target customers**: B2B (businesses, marketers, media companies) and B2C (content creators, YouTubers, podcasters, influencers) - **Mission or purpose statement**: To build an AI video creation and editing agent that enables authentic and personalized video production for anyone. ## Products & Services - **OpusClip Platform (Core Product)**: An AI SaaS tool that ingests long-form videos (e.g., podcasts, webinars, vlogs, sports content) and automatically identifies the most engaging moments, rearranges them into coherent short clips, and polishes them with dynamic captions, AI relayout, and smooth transitions. It can publish directly to social platforms. - **ClipAnything**: A newer AI model that allows users to clip specific moments from any video type, including those with little to no dialogue, using natural language prompts. It understands visual, audio, and sentiment cues. ## Market Standing - **Valuation/Market Cap**: $215 million valuation (as of April 2025) - **Key Metric**: Total Funding of $50M (across 3 rounds); Annual Revenue estimated at approximately $9M. - **Notable Investors/Partners**: SoftBank Vision Fund 2 (led Series A extension), Millennium New Horizons (led initial Series A), Fellows Fund (led venture round). - **Growth Signals**: Over 16 million creators and businesses using the platform; 440 million+ clips created; 160 billion+ total views generated from user-posted clips; headcount grew by 104.1% year-over-year to 117 employees; operates in 11 countries. ## Competitive Advantages - **Proprietary AI Models**: Their "ClipAnything" model is a significant moat, understanding visual, audio, and sentiment cues to identify viral moments, unlike simpler caption-based tools. - **Data-First Approach**: Leverages big data to analyze video content against current social and marketing trends, making its clip selection data-driven and trend-aware. - **Scale & Network Effects**: With 16M+ users, the platform has amassed a vast dataset of what makes clips go viral, continuously improving its AI's accuracy and effectiveness. - **High Accuracy & Speed**: Offers 97%+ caption accuracy and automated end-to-end workflow from clipping to publishing, saving creators hours of manual work. ## Strategic Focus - **Product Expansion**: Moving beyond a "clipping tool" to become an "AI growth tool" for video creators, adding features like direct publishing and analytics. - **Multimodal AI Leadership**: Deepening its AI's understanding of non-verbal content (sports, music, visuals) to capture a wider market beyond talking-head videos. - **Global Scale**: Expanding language support (26+ languages) and international team presence to capture the global creator economy. ## Why Work Here - **High Growth Trajectory**: The company is in a hypergrowth phase (104% YoY headcount growth), offering employees rapid career advancement and exposure to scaling a product used by millions. - **Strong Culture & Compensation**: Employee reviews rate the culture, compensation, work-life balance, and career opportunities at a perfect 5.0/5.0. - **Global & Remote-Friendly Team**: With offices in Palo Alto, San Francisco, Vancouver, and Los Angeles, and a distributed team across 11 countries, the environment is inherently global and flexible. - **Impactful Mission**: Employees work at the intersection of AI and the creator economy, building tools that directly empower millions of people to tell their stories. - **Active Hiring**: As of the latest data, there are 15 open positions, including software engineering, product management, product marketing, and AI video editing roles, indicating a strong appetite for talent. ## Sources 1. [OpusClip Careers Page (Ashby)](https://jobs.ashbyhq.com/opusclip) 2. [OpusClip Website](https://www.opus.pro/) 3. [LinkedIn Company Page](https://www.linkedin.com/company/opusclip) 4. [OpusClip Company Profile (Wellfound/TechCrunch style data)](https://www.opus.pro/about?4fa975b1_page=9) 5. [Indeed Company Page](https://www.indeed.com/cmp/Opusclip) ## Other roles at OpusClip - [Data Science Lead](https://feeny.ai/job/data-science-lead-opusclip-mountain-view-n0pmavg8p85t) — Mountain View, CA - [Member of Technical Staff, AI Engineer](https://feeny.ai/job/member-of-technical-staff-ai-engineer-opusclip-mountain-view-2wgy56kqqxqz) — Mountain View, CA - [Creative Technologist](https://feeny.ai/job/creative-technologist-opusclip-mountain-view-8r1471pxsxzb) — Mountain View, CA - [Lead AI Researcher](https://feeny.ai/job/lead-ai-researcher-opusclip-mountain-view-cdv9zwd66map) — Mountain View, CA - [Engineering Lead](https://feeny.ai/job/engineering-lead-opusclip-burnaby-7q4rqh6gp3r6) — Burnaby, Canada - [AI Product Management Intern](https://feeny.ai/job/ai-product-management-intern-opusclip-mountain-view-j1zfqwcbp2sh) — Mountain View, CA - [Data Scientist](https://feeny.ai/job/data-scientist-teya-london-mxjp7yyrj306) — London, United Kingdom - [Data Scientist](https://feeny.ai/job/data-scientist-accenture-federal-services-chantilly-7xjqg8sfncr4) — Chantilly, VA - [Data Scientist](https://feeny.ai/job/data-scientist-accenture-federal-services-chantilly-e5ygxxkhxmak) — Chantilly, VA - [Data Scientist](https://feeny.ai/job/data-scientist-wave-remote-54nacydwqj0y)