Senior Data Scientist
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Senior Data Scientist
70.000–100.000 / Year
Location
Amsterdam, Noord-Holland, Netherlands
Experience
Senior
Posted
Jul 10, 2026
Apply by
August 9, 2026
Applicants
0
Early applicantFull-timeHybrid
Job Description
**Turning data into impact helping millions of employees worldwide have a better work experience!**
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 DevOps 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 US**
Effectory is Europe’s leading employee feedback solution. With our platform, HR and management we collect employee feedback throughout the employee journey. This feedback is transformed into people analytics that informs strategies to boost productivity, engagement and retention. Built on 25 years’ experience, our 200 specialists in Amsterdam and Munich support more than 800 organizations in 70+ countries. Now more than ever, HR is an integral part of business strategy, which is why our feedback solution is tailor-made for strategic HR.
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**Effectory’s mission**
We are dedicated to improving the working world by giving employees a voice and making sure their feedback has an impact. Our experts work with HR teams and managers around the world, using employee feedback to overcome some of their biggest people-oriented challenges. From software engineers to HR specialists, every day Effectory’s people work to improve the working world, and we are looking for talented individuals who also want to be part of this mission.
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**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
**THIS IS HOW IT WORKS**
1. *You want this job*: submit your application via the link below
2. *We are intrigued*: join a phone call to further introduce yourself and ask questions
3. *We all think it went well*: we now meet live (or in a video call) to get to know each other a bit better
4. *We like each other even more*: you meet potential team members and get a bit of a pleasant grilling
5. *We want to see you in action*: you complete a case/assessment (if applicable)
6. *The final hurdle*: we agree on terms & conditions, we sign and you start!
Key Responsibilities
- Develop and apply data-founded additions to products and services
- Explore and connect data from multiple sources
- Design and evaluate AI models, including traditional ML and LLMs
- Build sophisticated analyses using predictive quantitative models and textual data analysis
- Collaborate with Data/MLOps Engineers to deliver insights into production
- Mentor Data Science colleagues and support team growth
- Translate technical insights into clear business impact
Requirements
- Master's degree in a quantitative field (e.g.
- Econometrics
- Mathematics
- or Data Science)
Skills Required
PythonAIMachine LearningFeature EngineeringModel ValidationLLMsPrompt EngineeringGenerative AI EvaluationMulti-step Flow DevelopmentCloud Data PlatformsAzure StackVisualization TechnologiesCommunicationCollaborationMentoringProblem SolvingCuriosityProactivePragmatic
Benefits
- 25 days leave
- 4 cool down days
- Option to purchase extra holidays
- Birthday off
- Day off to move house
- Volunteer day off
- Full additional parental leave
- Flexible working hours
- Sabbatical once every 5 years
- Working from abroad option
- Lunch provided
- Learning budget
- Home office budget
- Additional monthly compensation for working from home
- Pension
- Access to financial advice
- Annual Body & Mind budget
- Yearly Summer School & Winter School
- Annual events
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