AI Data Specialist - Tokyo
- Firma
- Scopely
- Lokacija
- SAD
- Nivo
- Mid
- Objavljeno
- 25.10.2026
Opis posla
Scopely Explore is seeking a highly motivated AI Data Specialist/ Engineer to join our Tokyo Studio, supporting Monster Hunter Now and Pikmin Bloom. This role will sit at the intersection of data engineering, AI tooling, marketing, live game operations, and product strategy.
Scopely Explore’s Tokyo Studio builds games that inspire people to explore the real world together. Monster Hunter Now brings players outside to hunt, craft, and grow stronger together, while Pikmin Bloom helps people find joy in everyday walking and real-world memories. As an AI Data Engineer, you will build the trusted data pipelines, AI-native tools, and automation systems that help our teams operate these games with more speed, rigor, and creativity.
Responsibilities
Partner cross-functionally with stakeholders across Product, LiveOps, Marketing, User Acquisition (UA), CRM, and Game Operations (including product managers, marketers, analysts, data scientists, engineers, and studio leadership) to identify and prioritize high-impact data and automation opportunities and translate ambiguous business needs into reliable AI-native technical systems.
Build and operate scalable data models, pipelines, semantic layers, and self-service data products using BigQuery, dbt, Looker, Airflow, and related cloud technologies.
Develop production-quality AI-enabled workflows using technologies such as LLMs, agents, retrieval-augmented generation (RAG) knowledge systems, evaluation frameworks, and human-in-the-loop review patterns to help teams investigate performance, detect anomalies, prepare decision briefs, and plan and evaluate campaigns.
Partner with Marketing to improve and automate workflows for audience segmentation, campaign performance, UA governance and execution, reactivation, event planning, and post-launch analysis.
Safeguard data quality and metric consistency across game, marketing, and executive reporting while promoting responsible AI use through appropriate evaluation, oversight, and human review.
Create reusable internal tools, patterns, and documentation that make AI accessible to non-technical teams while preserving trust, reviewability, and clear source-of-truth data. Contribute hands-on to Tokyo Studio’s broader AI operating model and help teams adopt effective AI-enabled workflows.
Use AI-assisted engineering tools responsibly by validating generated code and analysis through rigorous review, automated testing, and established quality gates (including linting, type checking, and CI) before production.
Qualifications
5+ years of experience in data engineering, analytics engineering, machine learning engineering, or a closely related role.
Deep expertise designing, building, deploying, and opera