9 дней назад
Senior Product Lead Data Science (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Product Lead Data Science (AI): Defining and delivering a personalization platform powered by GenAI, machine learning, and behavioral data with an accent on product strategy, recommendation systems, and responsible AI. Focus on designing experimentation frameworks, shipping reliable ML models, and translating complex data capabilities into measurable customer experiences.
Location: Den Haag, Netherlands. Hybrid working model with 3 days in the office and 2 days from home. Candidates must currently reside in the Netherlands.
Company
is a Dutch telecommunications provider developing customer-focused network, IT, and digital technology at national scale.
What you will do
- Define and own the product vision and roadmap for the personalization platform.
- Translate data capabilities into product features and user stories for engineering, design, and business stakeholders.
- Prioritize initiatives, make trade-off decisions, and define KPIs and success metrics.
- Collaborate with data scientists, data engineers, engineering, design, marketing, and commercial teams.
- Design, develop, and deploy machine learning models for personalized recommendations, content, pricing, and customer experiences.
- Build experimentation frameworks and improve personalization through behavioral data, feature engineering, and model monitoring.
Requirements
- Master’s degree in AI, Machine Learning, or Data Science.
- 3–6 years of Product Owner experience, preferably in a commercial organization.
- At least 2 years of experience with GenAI and Large Language Models in an advisory, consultancy, or Product Owner role.
- Fluent English is required; Dutch is preferred.
- Experience with agile methods, SQL, Spark or similar tools, AWS, and MLOps practices.
- Knowledge of experimentation methodologies, including A/B testing, statistical significance, and causal inference.
Nice to have
- Experience with personalization, recommendation systems, or search ranking.
- 3+ years of hands-on data science experience building and shipping production ML models.
- Proficiency in Python and data science libraries such as scikit-learn, TensorFlow, or PyTorch.
Culture & Benefits
- High degree of end-to-end responsibility within a diverse Data Science team spanning five continents.
- Opportunities for technical specialization, architecture, or technology leadership growth.
- 30 days of annual leave for full-time employees, plus an additional day off after Ascension Day.
- Role-based performance bonus, pension plan, learning budget, and access to more than 200 training courses.
- Mobile phone voucher, subscription discounts, bike lease scheme, gym contribution, and other product and service discounts.
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