Data Scientist, AI Video Agent (Vancouver)

Engineering, Information Technology, International Jobs, Multiple Jobs
December 23, 2025
Full Time
Urgent
Application ends: February 23, 2026
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Job Description

Company: OpusClip Inc.
Location: Burnaby, BC, Canada (On-site, 5 days/week)
Job Type: Full-Time
Experience: 3–6 years in data-related roles (IC-focused)
Education: Bachelor’s or Master’s in a quantitative field (CS, Statistics, Math, Engineering, or related)
Expected Salary: CA$140,000–CA$190,000 per year (₹1.03Cr–₹1.40Cr INR) + Bonus
Job Category: Data Scientist, Applied Data Science, AI/LLM Analytics, International Jobs, Information Technology, Engineering
Website: Website
Contact: Contact us

About the Company:
🎥 OpusClip is the world’s #1 AI video agent, enabling over 10 million creators and businesses in 18+ months to authentically share their stories through video without editing expertise.The company has raised US$50M from investors including SoftBank Vision Fund, DCM Ventures, AI Grant, and Samsung Next, and was named one of The Information’s 50 Most Promising Startups in 2024.

About the Role:
📊 As a Data Scientist, AI Video Agent, you will build and scale OpusClip’s data capabilities across growth, CRM/CX, payments, web tracking, experimentation, and LLM-driven analytics.You’ll sit at the intersection of data engineering, applied data science, and product strategy—designing pipelines, models, and experiments that directly power OpusClip’s growth and AI products.

Key Responsibilities:
Data Engineering & Infrastructure

  • 🧱 Design, implement, and maintain robust data pipelines across sources like GCS, Intercom, data warehouses, Superset, and third-party SaaS platforms.
  • ☁ Ensure scalable ingestion, transformation, and governance of structured and unstructured data for analytics and AI workloads.

Applied Data Science & Analytics

  • 📈 Lead advanced analyses on growth, CRM/CX, payment flows, and web tracking to uncover insights and opportunities.
  • 🎯 Build marketing-attribution models to measure ROI and optimize spend; analyze user lifecycle, retention, and churn risk.
  • 💰 Qualify upsell leads, recommend upsell triggers, and estimate CLV; develop predictive models for personalization and recommendations.
  • 🧩 Create user segmentation/tagging frameworks and drive training/tuning of AI across product, engineering, GTM, and CX teams.
  • 😃 Evaluate CX metrics (NPS, CSAT, support efficiency) and establish best practices in A/B testing and post-experiment evaluation.

Experimentation & Insights

  • 🧪 Partner with product, business, and customer success teams to design experiments, select metrics, and interpret results.
  • 📐 Drive rigor in experiment design, causal inference, and insight communication to influence product and GTM decisions.

Requirements:

Location

  • 📍 On-site in Burnaby, BC, 5 days per week (no remote/hybrid option for this role).

Experience & Education

  • 🎓 3–6 years in data-related roles with strong IC ownership; Bachelor’s or Master’s in a quantitative discipline.
  • 🚀 Proven track record of leading projects end-to-end in fast-paced, high-ownership startup environments.

Technical Expertise

  • 🐍 Strong proficiency in Python and SQL, with hands-on experience across the data lifecycle.
  • 🛠 Experience with modern data stack: BigQuery, dbt, Superset, Statsig, and orchestration tools like Airflow.
  • ☁ Solid data engineering skills with cloud storage (GCS), NoSQL (e.g., MongoDB), and SaaS integrations.
  • 📓 Mastery of notebooks (Jupyter, Databricks), working from raw data to reproducible analyses.
  • 🤖 Familiarity with LLM and agent workflows and commitment to pushing the frontier of AI in production.
  • 🔁 Strong end-to-end skills: ingestion, cleaning, modeling, analysis, deployment, and monitoring.

AI & Analytics Literacy

  • 🧠 Passionate about building pipelines using modern AI agent/LLM-based SaaS tools; excited by agentic workflows.
  • 🎛 Preferred experience with reinforcement learning (RL) and experimentation frameworks, ideally with HITL evaluation.
  • 🗂 Working knowledge of vector DBs (Pinecone, Weaviate, FAISS) and RAG pipelines for LLM apps.
  • 📊 Deep experience in A/B testing and experimentation platforms with strong statistical intuition and actionable insights.

Domain Experience

  • 💼 Exposure to CRM/CX, payments, web tracking, and user data.
  • 🤝 Experience building data products that support BD and customer-facing use cases.

Why Join OpusClip?
✅ High-impact role at a top-tier AI video startup with compensation at the upper range of Canadian data science salaries (CA$140K–190K ≈ ₹1.03Cr–₹1.40Cr INR + bonus/equity).
✅ Direct ownership over data infrastructure, experimentation, and AI/LLM analytics that power growth and product innovation.
✅ Work on-site with a Champion Team of AI enthusiasts and video experts, in a culture that prioritizes ruthless focus, fast shipping, and deep customer obsession.

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