Data Team Lead / Lead Data Scientist

Harnham Bekijk Alle Vacatures
Amsterdam, Netherlands
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
€5,833.0 - €8,333.0
Working hours
Regular working hours

Tech stack

A/B Testing Airflow Data Analysis Computing Platforms BigQuery Data Governance Data Transformation Data Systems Decision Support Systems Dimensional Modeling Machine Learning Recommender Systems
+2 more
Workflow Management Systems Data Management

Job description

Data Team Lead / Lead Data Scientist Amsterdam, Netherlands (Hybrid) | €85,000 - €110,000 including holiday allowance This is an opportunity to take ownership of a growing data function at a business that has already invested heavily in its data foundations and is now entering the next phase of maturity. You’ll combine technical leadership with hands-on delivery, shaping both the platform and the future direction of data products that directly influence commercial performance. The Company They are a well-established consumer-focused organisation with a strong digital presence and a growing commitment to data-driven decision making. Following significant investment in their data capabilities, they have built modern foundations and are now looking for someone to lead the next stage of development. Working in a collaborative environment, you’ll partner closely with technology, product, and commercial stakeholders to deliver measurable business impact through analytics, machine learning, and platform innovation. The Role As a Data Team Lead / Lead Data Scientist, you will be responsible for driving the evolution of the organisation’s data platform while remaining deeply involved in technical delivery. Key responsibilities include:

  • Taking ownership of the data platform and its ongoing development
  • Leading the design and operation of modern cloud-based data solutions
  • Introducing and improving model lifecycle management, monitoring, and governance practices
  • Building scalable capabilities across analytics, machine learning, and self-service BI
  • Driving initiatives across areas such as recommendation systems, search optimisation, experimentation, and commercial analytics
  • Partnering with product and business stakeholders to define success metrics and prioritise opportunities
  • Supporting the growth and development of the data team
  • Balancing strategic leadership with hands-on technical contributions across data and machine learning projects

Requirements

Your Skills & Experience You will bring a blend of platform expertise, machine learning capability, and leadership potential. Key requirements include:

  • Strong experience designing and operating modern cloud data platforms
  • Hands-on expertise with dbt and data transformation best practices
  • Experience with orchestration tools such as Airflow
  • Strong knowledge of data modelling, including dimensional modelling approaches
  • Experience working with GCP and BigQuery
  • Proven capability deploying machine learning or statistical models into production environments
  • Experience with experimentation frameworks and A/B testing
  • Knowledge of recommendation systems or ranking models
  • Ability to communicate effectively with technical and commercial stakeholders
  • Leadership experience or a demonstrated ability to guide and influence teams
  • Based in the Netherlands or willing to relocate

Desirable experience:

  • E-commerce, marketplace, travel, or other high-volume digital environments
  • Building or scaling data teams and platform capabilities
  • Analytics engineering and self-service BI initiatives
  • Platform architecture and data governance leadership

Benefits & conditions

  • Salary of €85,000 - €110,000 including holiday allowance
  • Hybrid working with approximately two office days per week
  • Sponsorship and relocation support available
  • High levels of ownership and autonomy
  • Opportunity to shape both the data platform and team structure
  • Modern technology stack including GCP, BigQuery, dbt, Airflow, Python, and Tableau
  • Direct exposure to commercially impactful machine learning and analytics projects
  • A clear opportunity to influence strategy while remaining hands-on technically

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