Jobid=8ba12b02d8ee (0.1019)
About Us
At DataLeaps, we believe engineering is human — we build with data to remove friction, accelerate innovation, and make people’s lives easier.
We work across data platforms, applied AI/ML, and data strategy & governance — challenging, experimenting, and turning ambitious ideas into reality.
You’ll join a passionate, smart, and slightly geeky team that values curiosity, collaboration, and continuous learning — without the corporate fluff.
The Role
We’re looking for a Data Scientist who thrives in dynamic, data-rich environments.
You’ll explore complex datasets, design and deploy models, and collaborate closely with engineers and business stakeholders to drive meaningful insights.
This role involves working with large-scale data environments and leveraging Google Cloud Platform (GCP) to turn data into impact ☁️.
What You’ll Do
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Collaborate with stakeholders to translate business questions into data science problems.
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Explore, clean, and analyse large datasets to uncover insights and opportunities.
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Design, build, and deploy predictive models and analytical frameworks (e.g. customer behaviour, operations optimisation).
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Work closely with data engineers to ensure models and pipelines are scalable and production-ready.
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Implement and maintain solutions in GCP (BigQuery, Dataflow, Vertex AI, etc.).
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Build clear visualisations and dashboards to make data stories accessible to all audiences.
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Establish best practices in model governance, testing, and monitoring.
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Stay up to date with the latest in data science, ML, and cloud technologies — and bring fresh ideas to the table.
What We Offer
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A friendly, human-centered team where innovation meets practicality.
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Exciting and impactful data projects with real business value.
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Continuous learning culture and freedom to experiment.
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Flexible working setup — office, hybrid, or remote within the Netherlands.
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Competitive salary or freelance rate (depending on experience).
What You Bring
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Bachelor’s or Master’s in Data Science, Computer Science, Statistics, Engineering, or related field.
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3+ years of hands-on experience as a Data Scientist or similar.
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Strong Python (and/or R) skills — with experience in libraries like scikit-learn, TensorFlow, or PyTorch.
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Proven experience with data environments — pipelines, data lakes, multiple sources, and large-scale analytics.
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Solid working knowledge of GCP (BigQuery, Dataflow, Vertex AI, Cloud Storage, etc.).
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Strong analytical and statistical modelling skills (classification, regression, clustering, time-series, etc.).
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Excellent communication — you can make complex things sound simple.
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A proactive, curious, and independent mindset — especially valuable if freelancing.
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Fluency in English (Dutch is a plus ).
Nice to Have
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Experience in retail, e-commerce, or consumer analytics.
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Knowledge of MLOps, CI/CD, or model monitoring in production.
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Experience with streaming data (Pub/Sub, Dataflow, Kafka).
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Familiarity with BI tools (Looker, Tableau, Power BI).
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Understanding of data governance and data quality frameworks.
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