【Data Scientist】Web3 × AI Entertainment Service / Hybrid / Japanese N2 level

About the Company

The company is a Web3 startup that aims to create a fan economy with the mission of "advancing the times together with fans". They develop and provide a fan platform for the Web3 era that maximizes fan enthusiasm for major entertainment companies such as publishers, music labels, and game companies. The company raised 3.4 billion yen in Series B funding in 2022 and is actively recruiting.

The company uses the concept of a "Decentralized Autonomous Organization (DAO)" as a guideline for organizational management. Regardless of age, role, or position, members proactively make proposals and decisions.

The company aims to realize new entertainment experiences at the production level by utilizing generative AI technologies, such as Generative Agents and Entertainment IP's unique image generation.

The team uses Agile methodologies and Kanban to manage development autonomously by teams of engineers, enabling flexible responses to areas of high uncertainty.

The Role

The company has entered a phase focused on evolving the "quality of decision-making" to drive product growth. It is shifting from a structure centered on new feature development to one that aims to "strengthen growth capabilities" through impact verification, optimization, and marketing measures, as well as making the product "AI-Ready."

Central to this strategy is the Data Scientist role, which can leverage the diverse data—such as behavioral and preference data—obtained from the proprietary product to support decision-making and drive problem-solving. This position is expected to analyze vast amounts of data and connect the findings to improving the fan experience and creating new value.

As the data team is still in its initial phase (newly established), the company is seeking members who will jointly build the foundation of the organization from the ground up.

Data Team Initiatives

The Data Team is engaged in the following efforts:

• Realizing a fact-driven decision-making organization through impact verification based on A/B testing and causal inference.
• Optimizing the user experience through recommendation and matching algorithms.
• Implementing advanced external traffic and marketing measures by optimizing allocation and creative content.
• Applying AI to product growth, such as notification design and the automation of operational tasks.

The team drives the evolution of the "quality of decision-making" company-wide, collaborating with various functions such as Product Managers (PdMs), Engineers, Community Managers, and Marketers. Furthermore, it proactively promotes the development of machine learning infrastructure to create user experiences, including implementing recommendation systems, network analysis, and utilizing generative AI.

Responsibilities

• Development and execution of impact verification (e.g., A/B tests, causal inference).
• Development and improvement of machine learning infrastructure for recommendations, matching, etc.
• Analysis, operational improvement, and optimization of marketing and advertising measures.
• Defining challenges, conducting analysis, and proposing solutions in collaboration with Product Managers (PdM) and Business (Biz) teams.

Position Highlights

• Ability to co-create the foundation and operational design within a team that is still in its early stages of formation.
• Opportunity to lead decision-making and initiatives at the core of the company's "AI x Growth Strategy."
• A supportive environment where candidates can grow their missing skills alongside the team, using their current area of expertise as a foundation.
• An environment rich with growth opportunities that cut across expertise, implementation skills, and business understanding.

Technical Environment

Languages:

• Required: Python
• Preferred: Go, TypeScript

Cloud:

• GCP (BigQuery, GKE, Cloud Spanner, Cloud Composer)

Other Tools and Technologies:

• Terraform
• dbt
• Steep, Redash, Looker Studio

Requirements

• Experience in data analysis, model building, and implementation using Python
• Broad understanding and experience in statistics and machine learning
• Experience independently analyzing business/product challenges and leading proposals
• Ability to research papers in the data science field and reproduce implementations
• Business Level Japanese Required (N2 Level)

You will proceed by leveraging your own strengths while cooperating with existing team members. Therefore, even if you have experience with some areas, please feel free to apply.

Preferred Qualifications

• Practical experience in effect verification using A/B testing and causal inference methodologies
• Development and operational experience in recommendation and matching systems
• Practical experience in marketing domains such as MMM and ad delivery
• Expertise and proven track record in related fields including information recommendation, AI, and econometrics
• Development experience in high-traffic environments

Ideal Applicants

• Empathy with the company's Mission and Vision
• Desire to drive product growth by leveraging expertise in data domains
• Self-sufficient, armed with both implementation and analytical skills
• Capable of collaborating with Product Managers and Business teams, supporting decision-making and subsequent execution
• Enthusiastic about participating in team launches and system development
• Aspiration to grow by establishing data domains as a new strength

Benefits

• Fully remote working in principle (with one day of work per month)
• 2 days off per week, holidays off
• Annual paid vacation (10 days granted on the day of employment)
• Year-end and New Year vacations
• Condolence leave, nursing care leave
• Rent subsidy (for those within 3 km of the office or within 3 stations from Sasazuka or Daitabashi station): 10,000 yen if rent and common expenses are less than 70,000 yen, 20,000 yen if rent and common expenses are 70,000 yen or more
• Full subsidy for the purchase of books (including manga)
• Subsidy for participation in outside study groups and events
• Up to 20,000 yen per month for laundry, housekeeping, gym fees, etc., selected by each employee from among items specified by the company
• Subsidy for Ethereum purchase
• Subsidy for remote work environment: up to 100,000 yen
• Flextime and hybrid work
• Annual salary: 6 million yen - 12 million yen