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Careers at Geniee
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Senior Data Scientist

Full Time
full time
JPY 9,000,000 - JPY 20,000,000/year
11 Nov 2025
Tokyo
Verified by Turrior

Content + Source + Freshness • 14 Feb 2026 • 95% confidence

88 / 100

Offer value

Strong value due to high salary range and impactful role in a competitive ad tech environment.

  • Competitive salary range: $90,000-$200,000.
  • High potential for career growth and leadership opportunities.
  • Innovative role at the forefront of the ad tech industry.
Pros
  • Attractive salary range ($90,000-$200,000 USD) indicative of high demand for skilled candidates.
  • Direct involvement in enhancing the ad tech platform with cutting-edge technologies.
  • Opportunities for leadership development and strategic decision-making.
Cons
  • High-pressure role to meet global standards in innovation.
  • Limited remote work options could deter some talent.
  • Expectations of advanced qualifications and experience in a niche field.

Who it's for

Senior • Onsite

Good fit
  • Senior data scientists with a focus on marketing technologies.
  • Analytical thinkers passionate about ad tech.
  • Candidates with a strong background in machine learning.
Not recommended for
  • Entry-level graduates or candidates without relevant experience.
  • Professionals looking for remote roles only.
  • Those without an interest in the advertising industry.

Motivation fit

Desire to innovate and implement new data-driven advertising strategies.Interest in team leadership and collaboration.Readiness to face challenges in a competitive market.

Key skills

Data science and machine learning expertiseStrategic thinking and analyticsProblem-solving in marketing contextsCommunication and team management
Score: 88/100 AI verified analysis

About the job

We are seeking a Senior Data Scientist to elevate our ad tech logic to compete at the level of global competitors like CRITEO and Google. At Geniee Inc., we aim to innovate the internet advertising market using cutting-edge technology. You will play a crucial role in enhancing our advertising platform, Geniee SSP/DSP, which holds a significant market share in Japan.

 

Responsibilities

  • Enhance and update predictive models in ad technology
  • Develop pricing optimization logic for SSP
  • Create product recommendation engines (dynamic creative recommendations)
  • Envision future data science strategies
  • (if there is a desire for management career)
  • Manage a team of data scientists
  • Share strategies with the internal business side of the Science group

 

Development Environment

  • Primary Languages/Frameworks: Python
  • Databases: Clickhouse, MySQL, BigQuery
  • Cloud: GCP
  • Communication/Development Tools: GitLab, Slack, Redmine, Confluence, and various AI tools

 

Team Structure

  • 1 Manager
  • 2 Team Leaders
  • 9 Data Scientists

 

Benefits of This Position

  • Collaborate on logic development akin to global leaders in the ad tech industry
  • Access to AI support and tools for engineers
  • Broad scope of responsibility and autonomy

 

Ideal Candidate

  • Enjoys embracing diverse changes for continuous improvement and growth
  • Shares our company purpose and values

 

Working Style

  • Primarily on-site work, with no remote work allowed.

 

Required Qualifications

  • 3+ years of experience in data science or machine learning in marketing

 

Preferred Qualifications

  • Ph.D. or Master's degree in a related field, or equivalent practical experience
  • Expertise in generative AI and machine learning
  • Strong strategic thinking and problem-solving skills
  • Experience in applying new technology trends to business
  • Understanding of technical challenges in the advertising industry

 

Selection Process

  • Document screening → Interviews (2-3 rounds) → Job offer
  • Candidates will need to take an SPI test and provide references before the final interview.

 

Benefits

  • Book purchase assistance (up to 30,000 JPY per half-year)
  • Refreshment allowance (up to 5,000 JPY per month)
  • Rent allowance (up to 30,000 JPY per month for designated stations)

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