Jobs | Engineering Jobs in Japan

1-1 of 1 jobs Sorted by

Project Manager, Project Leader 1More

15M JPY - ***M JPY

Need to logged in

Tokyo

Full-time (permanent)

Online Interview: Yes

Remote Work from Overseas: No / Remote Work in Japan: No

Top-Selling Points

Rate of Foreigners

Less Than

Frequency of English Usage

Less Than

Related Skills

Experienced area / job

Deep Learning Machine Learning

Programming Language

Python Spark SQL

Management/System project Experience

Others

Language Requirements

Required

Preferred

Job Description

Recruitment Background
The company aims to revolutionize the digital advertising market by leveraging cutting-edge technology. Operating at the forefront of digital marketing, the organization empowers client business growth by delivering highly effective ad distribution driven by advanced data analytics and algorithmic engineering.

In particular, the company's core ad platform features state-of-the-art machine learning capabilities. It stands as a dominant market leader in Japan, fueling its rapid growth with an extensive media inventory that spans approximately 5,000 publishers and delivers over 80 billion monthly impressions.

The company has now entered a strategic phase of direct competition with major global ad tech giants. This evolutionary milestone requires upgrading the internal data science organization to meet world-class global standards. To drive next-generation enhancements in data science performance—such as deep floor-price optimization and fully automated DSP bidding features—the company is seeking a visionary leader who can map out and execute its future technical roadmap.

Furthermore, because the current team is primarily composed of talented but younger professionals, the organization looks to integrate a seasoned director. This individual will deploy advanced domain knowledge and strategic leadership to fundamentally elevate the team's collective capabilities and organizational strength.

Responsibilities
1. Algorithm Development & Advanced Analytics
・Distribution Optimization: Oversee the development and improvement of delivery optimization algorithms, focusing on automatic floor-price optimization logic, targeting precision algorithms, and Video ad RPM optimization.
・RTB Logic Modernization: Lead the advancement of real-time bidding (RTB) distribution logic, including bidding optimization, pacing, and inventory allocation frameworks.
・Statistical Analysis & Modeling: Drive eCPM decomposition analysis (Fill rate × Win rate × Bid rate), price elasticity modeling, bidding landscape visualization, and the practical application of causal inference to unpack SSP-specific competitive dynamics.
・Statistical Analysis & Modeling: Drive eCPM decomposition analysis ($Fill\ rate \times Win\ rate \times Bid\ rate$), price elasticity modeling, bidding landscape visualization, and the practical application of causal inference to unpack SSP-specific competitive dynamics.

2. Executive Alignment & Business Partnerships
・Strategic Decision Support: Deliver data-driven technical presentations and strategic proposals to executive leadership.
・Business KPI Contribution: Anchor data science initiatives directly to core business metrics, including RPM, CPM, CTR, and CVR.
・Stakeholder Management: Orchestrate communication across business, product, and technical domains while justifying technical investment ROI.

3. Organizational Management & Talent Development
・Team Scaling & Mentorship: Build and scale the Data Science and ML engineering organization, owning recruitment pipelines and structured professional development.
・Cross-Functional Collaboration: Foster tight synchronization between data science, Product Management (PdM), Engineering, and Business units.
・Technical Excellence: Formulate and execute training and structural programs to uplift the collective technical capabilities of the department.

Team Structure
Data Science Division: 8 members
・Breakdown: Includes 1 Department Director (concurrent role) and 1 Manager.
・Growth Projection: The team has steadily expanded by 1 to 2 members annually over recent years, with aggressive scaling planned to support future business milestones.

Work Style
The role is based primarily on on-site office attendance, but offers a hybrid model allowing for remote work up to two days per week (subject to future adjustments depending on organizational needs and operational conditions).

Required Skills and Experiences

Required 5+ years of experience implementing ML (machine learning) Implementation experience in any of the following areas: Development of bid optimization, floor price optimization, and pacing algorithms Building and operating CTR/CVR prediction models Improving targeting accuracy (user segmentation, feature engineering) Recommendation systems (e-commerce, media, video streaming, etc.) Statistical analysis and modeling skills Experience solving business problems using statistical methods Experience measuring the effectiveness of initiatives using causal inference Experience explaining complex data to executive management in an easy-to-understand manner Practical experience with price elasticity modeling, eCPM decomposition analysis, etc. 2+ years of management experience Preferred Experience leading a data science department at an ad tech company (SSP/DSP) Proven track record in optimizing ad delivery and improving targeting accuracy Experience solving problems in collaboration with executive leadership and business units Experience applying generative AI and large language models (LLMs) to ad delivery Experience writing research papers and presenting at conferences Hands-on implementation skills in Python, SQL, Spark, Flink, etc. (still actively coding) Business-level English proficiency (for collaboration with global development offices)

After sign up, you can browse all information.

If you already have a GitTap Account, please login.

Working Condition

・Book Purchase Assistance (up to ¥30,000 per half-year)
・Refreshment Allowance (up to ¥5,000 per month)
・Housing Allowance
・Qualification and Language Acquisition Support System, Training Participation Support (individual application required)
・Support System for Working Parents
・Refresh Leave System
・Club Activity Allowance
・Other Internal Events (monthly social gatherings, etc.)
・Use of recreation facilities and affiliated sports clubs of the Kanto IT Software Health Insurance Association
・Regular Health Checkups (once a year)

【Allowances】
・Full Transportation Expenses Coverage

RECRUITMENT PROCESS

Resume Screening → Interviews (2–3 rounds) → Job Offer
*You will be required to take the SPI test and undergo a reference check before the final interview.

1-1 of 1 jobs Sorted by

No results