Amsterdam Data Science Lead — Client & Analytics Strategy

metyisag

Amsterdam

On-site

EUR 90,000 - 135,000

Full time

3 days ago
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Job summary

Adaptfy leads data and analytics for SHV and Metyis clients, seeking a Data Science Lead in Amsterdam with 5-7 years of experience. You will guide analytics work, manage client relationships, and drive data-driven decisions across multiple markets.

You will collaborate with senior stakeholders, apply advanced statistics and ML, and mentor junior team members. The role focuses on translating business problems into analytics solutions, delivering clear outputs, and shaping the data strategy for

Qualifications

  • Master's or PhD in a quantitative field (econometrics, AI, mathematics, physics or related)
  • 5-7 years of consulting or relevant industry experience, with at least 1+ year in a project lead role
  • Excellent communication skills to explain analytics to business users
  • Professional fluency in English

Responsibilities

  • Manage client interactions and maintain client relationships.
  • Translate business problems into analytics solutions with clear outputs and impactful outcomes.
  • Provide project management oversight to meet client expectations.
  • Develop presentations and manage external relationships.
  • Identify opportunities beyond the current project scope.
  • Guide and mentor junior team members.

Skills

Statistics
Data analysis
Communication
Project leadership
SQL
BigQuery
NoSQL
R
Python
Tableau
PowerBI
Machine learning
Data engineering

Education

Master's degree in a quantitative field
PhD (preferred)

Tools

SQL
BigQuery
NoSQL
R
Python
Tableau
PowerBI

Job description

Adaptfy leads data and analytics for SHV and Metyis clients, seeking a Data Science Lead in Amsterdam with 5-7 years of experience. You will guide analytics work, manage client relationships, and drive data-driven decisions across multiple markets.

You will collaborate with senior stakeholders, apply advanced statistics and ML, and mentor junior team members. The role focuses on translating business problems into analytics solutions, delivering clear outputs, and shaping the data strategy for

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