Senior Data Scientist (Digital Advertisement & Marketing)
Senior Data Scientist (Digital Advertisement & Marketing)
Job type:
Permanent
Specialization:
Software/Web Development
Language Level:
English Level - Advanced (TOEIC 860), Japanese Level - None
Location:
Setagaya-ku
Salary:
¥9,000,000 - ¥14,000,000 Yearly
Job Reference:
506321
A Global IT Service firm is seeking a Senior Data Scientist .
Responsibilities:
- Problem definition for ad delivery optimization and the design of KPIs/metrics, along with observability (dashboards and alerts).
- Data preprocessing, feature engineering, modeling, and offline evaluation (including simulation) for price optimization, CTR/CVR and value prediction, and creative optimization.
- Online deployment and experiment design: A/B tests/bandits, calibration, rollout strategy planning, effectiveness evaluation, and continuous improvement.
- Production operations and MLOps: building training/inference pipelines; monitoring and drift detection; model updates and automated rollback; quality and privacy governance.
- Collaboration with internal stakeholders (product, engineering, sales/operations) on requirements definition, decision support, documentation, and knowledge sharing.
Required Skills:
- 5+ years of hands-on experience in data analysis and machine learning using Python and SQL; proficiency with Pandas/NumPy/scikit-learn and data visualization tools
- Experience processing large-scale data (e.g., Spark, BigQuery) and building reproducible analytics environments (using notebooks and repositories together, code reviews, testing)
- Solid foundation in statistics, probability, causal inference, and experimental design (hypothesis testing, sampling, A/B test design and analysis, effect size estimation)
- Experience developing machine learning models (regression, classification; tree-based methods/GBDT/logistic regression/simple neural networks) with rigorous evaluation design (offline/online metrics, calibration)
- Foundational knowledge of online/digital advertising (CTR/CVR prediction, bidding and budget pacing, ad serving control, KPI optimization) or practical optimization experience in adjacent domains
- Feature engineering oriented toward price and serving optimization use cases; data quality management, leakage prevention, and handling delayed/late-arriving labels
- Production experience (model deployment, scheduling/pipeline operations, monitoring, implementing and operating drift detection)
- Communication skills for collaborating with stakeholders on requirements definition, analysis design, and decision support (including explaining and visualizing deliverables)
- Degree in computer science, information engineering, statistics, applied mathematics, or a related field; or equivalent practical experience
Why should you apply:
- Great opportunity to be able to work for well-established company
- Cross-departmental communication is possible in an international environment
- Drive innovation and maintain high standards for products utilized on a huge scale
Company Overview: This is a global company with a strong presence in multiple business sectors. It has achieved sustained growth both domestically and internationally, including in the U.S. and Europe. The company prides itself on its diverse and international environment, providing ample career opportunities and a commitment to equal opportunity. With a wide range of business activities, the company also works with various technologies. You can choose your preferred working environment, whether Windows or Mac! Meals at the employee cafeteria are free, and the chef regularly comes up with new menus, ensuring you never get bored of the meals!
Work Hours: 9:00 AM – 5:30 PM (Flextime or staggered working hours possible)
Work Style: Hybrid (Typically 4 days in the office, 1 day working from home)
Holidays: Saturdays, Sundays, public holidays, New Year holidays, paid leave, bereavement leave, and other special leave
Benefits: Full social insurance (employee pension insurance, health insurance, worker’s accident compensation insurance, unemployment insurance), DC pension plan, transportation allowance, childcare and caregiving support, cafeteria, retirement benefit system, welfare services (Relo Club), health counseling services, relocation support (visa support, moving), employee discounts (moving, language classes, etc.), and more
Interview Process: 3~4 times
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