Senior Data Scientist - Interim/Temporary at Independent Recruiters
Amsterdam, , Netherlands -
Full Time


Start Date

Immediate

Expiry Date

10 Dec, 25

Salary

7.0

Posted On

12 Sep, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Computer Science, Data Science, Econometrics, Business Value, Python, Sql, Stakeholder Engagement, Marketing Automation, Dutch, Communication Skills, Ownership, English, Mathematics

Industry

Information Technology/IT

Description

SENIOR DATA SCIENTIST - INTERIM/TEMPORARY

New assignment available for an experienced data scientist in Amsterdam!
We are looking for a specialist with experience in operationalizing AI solutions that generate business value within a corporate environment. This is a temporary assignment until the end of March 2026. Are you available on short notice for 40 hours per week? Then we are looking for you!

REQUIREMENTS SENIOR DATA SCIENTIST - INTERIM/TEMPORARY

  • A Master’s degree in Computer Science, Data Science, AI, Econometrics, Mathematics, Engineering or a related technical field;
  • Strong conceptual skills: being able to oversee and debug complex data value chains within marketing IT ecosystem;
  • Proven track record of operationalizing AI solutions that generate business value with a minimum of 8 years of experience in a complex corporate environment; preferably marketing automation or campaigning;
  • Highly experienced with SQL, Python and advanced machine learning models. Preferred experience with Dataiku DSS, Adobe AEP, Polars;
  • Emphasizing a strong sense of ownership, showcasing collaboration skills with a focus on teamwork and stakeholder engagement;
  • Excellent communication skills, fluency in English, with a preference for understanding or speaking Dutch.
Responsibilities

The company is currently working on the marketing automation with AI for their consumer market. In this role your responsibilities will be:

  • Run and improve existing machine learning model (MLOps);
  • Lead debugging of complex data value chain, design robust data pipeline for our evaluation metric;
  • Help coordinate business requirements, prepare insights and backlog for business and IT stakeholders;
  • Working together in agile AI team (analyst, product owner, MLE);
  • Help prioritize and shape agile sprints according to personalization roadmap and vision;
  • Understand and improve our Marketing Personalisation Ecosystem.

The results they would like to achieve are:

  • Create proven business impact using AI models for Omnichannel Personalizations;
  • Deliver new personalization solutions according to personalization roadmap and vision.
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