Growth Data Scientist, US App
Salary not provided
本ポジションは日本語JDの用意がありません。
Growth Data Scientist, US App
- Employment Status: Full-time
- Work Hours: Full Flextime (no core time)
- Office: Roppongi
For more details, see the Overview of Our Positions.
About the Company
Circulate all forms of value to unleash the potential in all people.
"What can I do to help society thrive with the finite resources we have?" This question inspired the creation of our marketplace app in 2013. By circulating all forms of value—not just physical goods and money—we aim to create opportunities for anyone to realize their dreams and contribute to society. We use technology to connect people and help everyone unleash their full potential.
See our Culture Doc for more on our mission.
Organization/Team Mission
Engineering Principles
Our Engineering Principles are the shared values that shape our approach and behavior:
- Passion For The Product
- Grow Together
- Solve Through Mechanisms
- Collaborate Openly
Learn more about our Engineering Culture.
About This Position
This position operates with high autonomy and partners tightly with Growth, Marketing, and Product teams to turn abstract growth opportunities into ML-driven frameworks. The Growth Data Scientist prioritizes business impact, thrives on fast experimentation cycles, and is accountable for measurable business results.
Read more about our mission and values.
Work Responsibilities
- Drive ML-Powered Interventions: Design, build, and productionize models predicting user behavior (e.g., conversion, churn, reactivation) and estimate incentive elasticity/incremental impact.
- Innovate Personalization Systems: Architect solutions for dynamic incentive control, intelligent exposure, and highly personalized targeting at scale.
- Own Business Outcomes: Take ownership of marketing/incentive ROI, incremental GMV, and LTV uplift, using model performance as a business lever.
- End-to-End Experimentation: Lead the ML lifecycle—from experiment design and KPI definition to post-launch analysis and iteration.
- Cross-Functional Partnership: Collaborate with Growth, Marketing, and Product teams to build scalable, ML-driven solutions.
- Build Reusable Growth ML Foundations: Develop shared frameworks for uplift modeling, elasticity estimation, and intervention optimization.
Unique Challenges
- Driving High-Precision Personalization at Scale: Build intelligent ML models to deliver the right messages and incentives to the right users at the right time, maximizing ROI and enabling non-linear growth.
- Solving Ambiguous Growth Problems: Navigate dynamic and ambiguous problem spaces, prioritize where advanced ML has the highest user/business impact.
- Optimizing for Business Impact: Be measured by impact on core metrics (ROI, GMV, LTV), not just model accuracy—embrace rapid prototyping and iteration.
Qualifications
Required Experience/Skills
- Strong interest in growth, marketing, and direct business impact; willing to own business results.
- Proven ML experience for real, user-facing, production decisions.
- Proficiency in Python and SQL; experience with ML frameworks (e.g., scikit-learn, XGBoost, LightGBM, TensorFlow, or PyTorch).
- Experience with large-scale data processing tools (e.g., BigQuery, Spark, or equivalents).
- Solid understanding of statistics, experimental design, and causal reasoning.
- Familiarity with ML deployment and monitoring in production.
Preferred Experience/Skills
- Prior experience in C2C marketplace or similar domains.
- Experience with RDBMS and NoSQL databases; exposure to backend engineering (microservices, Go, gRPC) and cloud platforms.
Language
- Japanese: Preferred
- English: Required
See the CEFR guide.
Learn More
- Careers site
- Mercan
- Social media: X / LinkedIn
Recruiting Process
- Application screening
- Skill assessment (e.g., HackerRank, GitHub)
- Interview(s)
- Reference check
- Offer
Learn more about our recruiting process here.
Equal Opportunity Hiring
We strive for a world where no one’s potential is limited by their background. We are committed to an inclusive & diverse culture and to eliminating discrimination based on age, gender, sexual orientation, race, religion, physical disability, or other factors.
For details, see our I&D statement.
Please review our Privacy Policy prior to submitting your application.