Morgan McKinley
Senior Data Scientist
Skills
1 month ago
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Important information
Contract type:
Permanent
Location:
Tokyo, Japan
Work mode:
Onsite
Published on:
25 September 2026
What they need
Lead advanced personalization and CRM data science for a massive consumer platform, shaping AI-driven experiences and measurable growth for millions of users.
About the Client
Our client is a leading global technology platform focused on building products that connect people and unlock new forms of value. The company operates a large-scale digital marketplace with tens of millions of users and continues to invest heavily in data science, machine learning, and AI-driven product experiences. Their teams work at the intersection of product innovation, advanced analytics, and scalable infrastructure to solve complex real-world problems.
Key Responsibilities
- Identify high-impact opportunities to design data-driven CRM and personalization strategies that improve engagement and long-term customer value.
- Develop and deploy advanced machine learning and statistical models, including recommendation, targeting, and experimentation frameworks.
- Design scalable inference pipelines (batch and streaming) with monitoring and evaluation frameworks to support production systems.
- Conduct deep data exploration and causal analysis to solve complex product and business challenges.
- Collaborate with product, engineering, marketing, and leadership teams to translate insights into AI-driven product features and strategic decisions.
Requirements
- 5+ years of experience applying machine learning or advanced analytics to real-world business problems.
- Strong expertise in statistical modeling, machine learning algorithms, A/B testing, and causal inference.
- Proficiency in Python and SQL with experience working on large-scale datasets.
- Excellent communication skills with the ability to translate complex technical insights for business stakeholders and leadership.
- Candidates with customer-facing/consulting experience is a plus.
- Full professional fluency in both English and Japanese are required.
Preferred Qualifications
- Experience building production ML systems or inference pipelines in large-scale environments.
- Demonstrated ability to lead cross-functional data science initiatives from concept through deployment.
Why You'll Love Working Here
- End-to-end ownership – Lead projects from initial concept and experimentation through production deployment and optimization.
- Frontier-level challenges – Build cutting-edge personalization and CRM solutions where no established blueprint exists.
- Massive scale impact – Apply data science to platforms serving tens of millions of users, influencing product strategy and user experience.
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