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Senior Data Scientist

Remote / Online - Candidates ideally in
1000, Amsterdam, North Holland, Netherlands
Listing for: Effectory B.V.
Full Time, Remote/Work from Home position
Listed on 2026-07-13
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, Data Scientist, AI Engineer (Applied/Software), Data Analyst
Salary/Wage Range or Industry Benchmark: 90000 - 130000 EUR Yearly EUR 90000.00 130000.00 YEAR
Job Description & How to Apply Below

As our Senior Data Scientist, you turn complex data into meaningful insights that help organizations understand and improve the working lives of their people. You'll use data, AI, and machine learning to make a real difference both within Effectory and for our clients across the globe.

Every day, you work to develop and apply data-founded additions to our products and services. You’ll explore and connect data from a multitude of sources and bring creativity into how we use data in innovative ways. You’ll design and evaluate AI models, from traditional machine learning to LLMs, ensuring that our clients gain deeper, more actionable insights from their feedback.

Integrating diverse techniques from predictive quantitative models to in-depth textual data analysis, you look beyond the basics and build sophisticated analyses that deliver deep insight for our customers. Effectory is growing and so is our approach to data. This role isn’t set in stone; you’ll have the freedom to shape it, experiment with new ideas, and actively contribute to our agile way of working.

About

the team

You’ll be part of our newly formed Data & AI team, where we combine expertise in data, analytics, and technology to drive innovation across Effectory. You’ll work closely with Data/MLOps Engineers to deliver your insights into production, and support Data Science colleagues with your senior experience and mentoring capabilities. The team collaborates with other internal stakeholders to connect insights throughout the organization.

Our Data & AI team provides shared services to various Dev Ops teams and runs its own experiments and model development projects. Together with our Product Team, you’ll turn AI innovation into real, impactful product features.

  • Curious and analytical with a passion for transforming data into value
  • Experienced Data Scientist (3+ years) with a Master’s degree in a quantitative field (e.g. Econometrics, Mathematics, or Data Science)
  • Skilled in Python (or similar languages) for data analysis and modeling
  • Comfortable with AI and ML tools, feature engineering, and model validation
  • Knowledgeable in LLMs, prompt engineering, generative AI evaluation and multi-step flow development
  • Experience with cloud data platforms, ML/AI tools, and visualization technologies, ideally within the Azure stack.
  • Strong communicator who can translate technical insights into clear business impact
  • Pragmatic, proactive, and collaborative, you enjoy working with others and mentoring teammates
  • Excited by innovation, continuous learning, and shaping the future of data at Effectory

You’re the kind of person who finds energy in solving complex problems and seeing your models make a real-world difference. You enjoy experimenting with new technologies, sharing your knowledge, and helping your team grow. Above all, you’re driven by curiosity and a desire to create positive impact through data.

THIS IS WHAT WE OFFER
  • 25days leave on a fulltime basis
  • 4 'cool down days' (additional company wide days off a year, where the entire office is closed)
  • The option to purchase extra holidays
  • Your birthday off
  • A day off to move house
  • A volunteer day off to support something you care about
  • Full additional parental leave for partners
  • Flexible working hours from 7am – 7pm
  • A sabbatical once every 5 years
  • Working from abroad option for up to 4 months
  • A great lunch (hot & cold vegetarian, meat and vegetarian options) at the office, made by our in house chef
  • A week of fun and interactive onboarding to get to know Effectory and your new colleagues
  • A learning budget for personal development + extensive internal development opportunities
  • Budget to set up your home office
  • Additional monthly compensation for working from home
  • Pension
  • Access to financial advice
  • Annual Body & Mind budget for anything that energizes or relaxes you
  • Yearly Summer School & Winter School
  • Annual events:
    Winter Party, Summer Party & the legendary Big Day
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Position Requirements
10+ Years work experience
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