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Senior Data Scientist

Job in 1000, Amsterdam, North Holland, Netherlands
Listing for: TBAuctions
Full Time position
Listed on 2026-03-14
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 EUR Yearly EUR 80000.00 100000.00 YEAR
Job Description & How to Apply Below

At TBAuctions, we are committed to building intelligent auctioning platform for our brands. We are seeking a Data Scientist to join our team with a primary focus on building machine learning models and deploying them into production environments. The ideal candidate will have a strong background in data science, machine learning, and software engineering to effectively translate models into scalable solutions.

This is what you will do:
  • Machine Learning Model Development:

    • Develop and implement machine learning models to address business challenges.

    • Conduct data analysis, feature engineering, and model selection to optimize performance.

  • Model Productionization:

    • Deploy machine learning models into production systems for real-time applications.

    • Collaborate with software engineers to integrate models into existing infrastructure.

  • Performance Monitoring, Evaluation and Optimization:

    • Monitor model performance in production, investigate drift, and iterate to improve evaluation metrics.

    • Conduct A/B testing and validation to assess model impact and reliability.

  • Cross-functional Collaboration:

    • Work closely with cross-functional teams to understand business requirements and translate them into technical solutions.

    • Communicate complex technical concepts to non-technical stakeholders effectively.

  • Documentation and Reporting:

    • Create reproducible, versioned documentation of modeling development, experiments, and results.

    • Produce reports and presentations that communicate methods, findings, and recommendations.

  • What you will bring
    • 7+ years of industry experience

    • Master's in Computer Science, Statistics, Mathematics, or related field

    • Proven experience in developing and deploying machine learning models in production environments

    • Proven organizational and project management skills

    • Expert in programming languages such as Python and Pyspark

    • Strong understanding of data manipulation, statistical analysis, and machine learning algorithms (MLlib, Scikit-learn, Tensor Flow/Pytorch, GenAI)

    • Enthusiasm for AI use cases and innovation

    • Excellent communication skills and ability to work in a collaborative team environment

    Bonus Points
    • Familiarity with event-driven architecture and hands-on experience with serving ML models as microservices

    • Experience with LLM based products in production

    • Experienced with working in adynamic and fast-paced environment

    • Experienced with recommender systems at scale

    • Experienced in working on high-load, real-time AI solution

    What we offer you
    • Independent and varied role within an entrepreneurial and innovative organization

    • Modern data stack (Databricks, Airflow, DBT, Power

      BI)

    • Salary of 80.000,- - 95.000,- (gross annual per year based on 40 hrs per week) based on experience

    • 25 vacation days

    • Laptop and iPhone

    • Training and upskilling opportunities

    • Working in a team of professionals, where hard work is well combined with humor ✨

    This is TBAuctions

    Nothing of value should be lost

    TBAuctions (TBA) is Europe's leading multi-brand digital auction platform for B2B used goods. We are powered by a diverse and international team of over 1,200 professionals across the Nordics, Benelux, UK and Continental Europe. Our belief that 'everything has value' drives us to innovate through technology, creating more effective and sustainable auction processes. Our culture is based on our core values, which guide us in every decision from hiring to performance reviews to day‑to‑day and strategic changes.

    We put bidders and sellers first, we take responsibility, we deliver results and we succeed as a team – because we are better together!

    #J-18808-Ljbffr
    Position Requirements
    10+ Years work experience
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