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Scopely

AI Data Specialist - Tokyo

Scopely · JP - Tokyo, Japan

Posted 22 days ago

or apply directly on Scopely's site. We never take the application ourselves.

Is this posting real?

This role has been open
22 days
Scopely's roles stay open a median of 43 days
Reposted
No
Salary listed
No
0% of Scopely's roles list one
Ghost-job risk at Scopely
low
0 stale, 6 reposted of 182 open
Hiring momentum
242 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-17

Measured from postings appearing on and disappearing from Scopely's own greenhouse board since 2026-08-03. Full hiring picture for Scopely.

About this role

As an AI Data Specialist at Scopely Explore in Tokyo, you will be responsible for building data pipelines, AI-native tools, and automation systems to enhance game operations for titles like Monster Hunter Now and Pikmin Bloom. Your role involves collaborating with various teams to identify data opportunities, developing scalable data models, and ensuring data quality while promoting responsible AI practices. You will also create internal tools and documentation to facilitate AI adoption among both technical and non-technical teams.

Our read on this posting2.6out of 5
benefits
1/5
freshness
4/5
career value
4/5
role clarity
4/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Scopely as an employer.

What you need

  • 5+ years of experience in data engineering, analytics engineering, machine learning engineering, or a closely related role.
  • Deep expertise in cloud data warehousing (e.g., BigQuery or Snowflake), data transformation and modeling (e.g., dbt), business intelligence (e.g., Looker), and workflow orchestration (e.g., Airflow).
  • Exceptional SQL skills and strong data-modeling fundamentals, including dimensional modeling and metric design.
  • Hands-on experience building AI solutions for real business workflows, including LLM applications and retrieval-augmented generation (RAG).
  • Strong judgment and experience establishing data-quality controls and responsible AI practices.
  • Experience building tools for Product, LiveOps, Marketing, User Acquisition, CRM, or Game Operations teams.

Nice to have

  • Enjoy helping teams become more capable by building practical systems that support faster, better-informed decisions.
  • Passionate about games and player behavior, with experience in free-to-play mobile or location-based products.
  • Experience modernizing prototype or locally operated data workflows into reliable, scalable, cloud-managed production systems.

Worth weighing

  • No salary listed in the posting.
  • The role requires working from the Tokyo office three days a week, which may not suit remote work preferences.
  • The responsibilities involve a mix of technical and cross-functional collaboration, which may require strong interpersonal skills.
  • The position emphasizes responsible AI practices, which may involve additional scrutiny and oversight in your work.

Summarised from Scopely's posting. Read the full original.

Listed by Scopely on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

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