19 beste vacatures voor de functie van applied scientist in amsterdam (nieuwe medewerkers gezocht)

Senior Data Scientist
SAMBA TV —Amsterdam
- Fulltime
- Doctor
- Informatica
- Master
Data Scientist - Machine Learning
Catawiki —Amsterdam
- SQL
- Machinaal leren
- Python
- Verhuisvergoeding
6 dagen
Senior Data Scientist - Machine Learning
Catawiki —Amsterdam
- SQL
- Machinaal leren
- Python
- Verhuisvergoeding
6 dagen
Data Scientist
Xomnia —Amsterdam Centrum
- € 3.800 - € 6.200 per maand
- Fulltime
- Azure
- Informatica
- Engels
Snel solliciteren
Internship: R&D Engineer - Carbon Capture materials testing
SKYTREE —Amsterdam
- € 550 per maand
- Hybride werken
- Engels
- Master
- Analytisch vermogen
- Reiskostenvergoeding
- Werk vanuit huis
Snel solliciteren
Director Applied Science ADAS
TomTom —Amsterdam
- Fulltime
- Thuiswerk
- Doctor
- Informatica
- C++
- Budget voor professionele ontwikkeling
Snel solliciteren
Senior Data Scientist
Context Labs —Amsterdam Centrum
- Fulltime
- Hybride werken
- Informatica
- Onderzoek
- Master
Snel solliciteren
Mobile SDK Lead
ThreatFabric B.V. —Amsterdam Westpoort
- € 95.000 - € 115.000 per jaar
- Fulltime
- Hybride werken
- Informatica
- Informatica
- Engels
- Budget voor professionele ontwikkeling
- Flexibele werkuren
Snel solliciteren
Staff Research Scientist
Pinely —Amsterdam
- Parttime
- AI
- Winstdeling
Snel solliciteren
Lead Data Scientist, Revenue - Ads, Revenue
Vinted —Amsterdam
- € 86.600 - € 127.400 per jaar
- Hybride werken
- Engels
- SQL
- Analytisch vermogen
- Mentale gezondheidszorgprogramma's
- Budget voor professionele ontwikkeling
ML Software Internship
Veridis —Amsterdam Zuid
- E-mail
- Stage
- Python
- Flexibele werkuren
Staff Product Manager - AI - 100% Remote - EMEA
Hostaway —Amsterdam
- Fulltime
- Thuiswerk
- Kantoor
- Bachelor
- Productmanagement
- Werk vanuit huis
Snel solliciteren
Senior Software Engineer - QuantumBlack, AI by McKinsey
McKinsey & Company —Amsterdam
- Azure
- Doctor
- Informatica
Manager Data Science
RELX —Amsterdam
- € 79.000 - € 131.500 per jaar
- Fulltime
- Doctor
- Informatica
- Master
- Flexibele werkuren
Manager Data Science
Elsevier —Amsterdam
- € 79.000 - € 131.500 per jaar
- Fulltime
- Doctor
- Informatica
- Master
- Flexibele werkuren
Machine learning Engineer
Sia —Amsterdam
- Fulltime
- Hybride werken
- Azure
- Ziekenhuis
- DevOps
Snel solliciteren
Machine Learning Engineer - Fulfillment
JD.COM INTERNATIONAL UK LTD —Amsterdam
- Informatica
- Engineering
- Engels
Snel solliciteren
Staff Software Engineer
Uber —Amsterdam
- Fulltime
- Master
- AI
- Communicatieve vaardigheden
Data Science Consultant
Sia —Amsterdam Oost
- Fulltime
- Hybride werken
- Azure
- Engels
- Master
- Flexibele werkuren
Snel solliciteren

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Senior Data Scientist

SAMBA TV -
Amsterdam

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Vacaturegegevens

Fulltime

Kwalificaties

Statistiek
Doctor
Informatica
Google Cloud Platform
SPARQL
Master
Databases
SQL
AWS
Bachelor
Machinaal leren
Zakelijke vereisten
AI
Graph databases
Python
Datawetenschappen

Volledige vacaturetekst

Amsterdam

Engineering – Product Engineering /

International Full Time Employee /

Hybrid

Samba is a media intelligence company. We know what the world is watching, reading, and thinking about — in real time, at scale, across every screen. Our data exists with the consent of over a billion people, organized into the most complete picture of consumer attention ever built. The biggest brands in the world use that picture to make smarter decisions. We think it’s the most interesting data asset on the planet, because it’s the most culturally relevant.

We are hiring a Senior Data Scientist in Amsterdam to help shape Samba TV's data science function for the agentic era of advertising. You will define modeling methodology, build production ML systems, and apply modern AI and agentic capabilities across our data products.

You bring 8+ years of experience, deep expertise in machine learning and modern AI, and the technical range to take methodology from research through production deployment. You are an active collaborator with engineering, product, and partner teams, and an advocate for rigorous, defensible modeling practice.

What You'll Do

Modeling and ML Development

Own end-to-end delivery of data science projects, from problem scoping through production deployment.
Define and ship modeling methodology that powers Samba's data products, including model selection, evaluation frameworks, and reproducibility standards.
Apply solid command of core ML and statistics (regression, classification, clustering, model evaluation, experimental design, causal inference) to billion-row, real-world data.
Build production-quality Python and PySpark on Databricks: well-tested, documented, reusable.
Partner with Data Engineering to define data requirements, validate pipelines, and ensure model inputs are reliable and production-ready.

AI and Agentic Capabilities

Build and operate advanced AI systems using modern methodologies: retrieval-augmented generation (RAG), LLM-augmented modeling and Graph Neural Networks. Design AI-driven modeling approaches that improve as signals evolve, supporting agentic decision-making at platform scale.
Integrate LLMs and agentic workflows into production ML pipelines where they extend modeling capability and unlock new product surfaces.

Technical Contribution and Collaboration

Drive technical design for modeling components within your scope, producing clear solution documents covering problem statement, approach, metrics, and trade-offs.
Translate business requirements into modeling solutions in close collaboration with product, engineering, and go-to-market partners.
Uphold high standards for production-quality data science.
Mentor data scientists on the team through structured feedback, pairing, and design review.

MLOps and Production Practice

Establish and operate MLOps practices: experiment tracking, pipeline orchestration (Airflow), model monitoring, retraining workflows, and reproducibility standards.
Apply privacy-compliant data handling practices, including GDPR, CCPA, and Samba's data governance policies.

Who You Are

Required

8+ years of hands-on data science experience with a Bachelor's degree in Statistics, Data Science, Computer Science, Mathematics, or a related quantitative field (or 6+ years with a Master's, 3+ years with a PhD, or equivalent).
Demonstrated ability to own and deliver complex, multi-sprint data science projects from problem scoping through production deployment.
Solid command of core ML and statistics, including neural networks, regression, classification, clustering, model evaluation, experimental design, and causal inference, applied to billion-row datasets.
Track record of building methodology, not just applying it: data analysis, model selection, evaluation frameworks, and solid documentation of decision processes
Production experience with vector databases (Pinecone, Weaviate, Milvus, pgvector, or equivalent) for retrieval, matching, or inference at scale.
Advanced Python with production-quality, tested code; strong SQL and PySpark on billion-row datasets.
Databricks, Delta Lake, and job orchestration (Airflow); hands-on production experience on AWS, GCP, and Databricks.
MLOps proficiency: experiment tracking, pipeline orchestration, model monitoring, reproducible deployment.
Experience designing and operating agentic AI systems in production: prompt engineering, agent orchestration, tool use, or integration of LLMs into ML pipelines.
A clear communicator who translates technical work into design docs, user stories, and cross-functional conversations.
An active mentor who invests in others, gives direct feedback, and raises the bar for the team as a whole.

Preferred

Knowledge graph design (RDF, OWL, SPARQL, or equivalent graph frameworks), Natural Language Processing, Background in ad tech, CTV/OTT, ACR, audience activation, identity resolution, or measurement methodologies.
Experience with causal inference (A/B testing, synthetic control, uplift modeling).

Base salary is just one component of Samba total compensation package for employees. Other rewards may include bonuses, short-term incentives, and long-term incentives. In addition, Samba provides health insurance, wellness offerings, life and disability insurance, a retirement savings plan, paid holidays and paid time off (PTO), and other employee benefits.

Samba is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We strive to empower connection with one another, reflect the communities we serve, and tackle meaningful projects that make a real impact.

Samba may collect personal information directly from you, as a job applicant, Samba may also receive personal information from third parties, for example, in connection with a background, employment or reference check, in accordance with the applicable law.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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applied scientist vacatures in amsterdam

Senior Data Scientist

Data Scientist - Machine Learning

Senior Data Scientist - Machine Learning

Data Scientist

Internship: R&D Engineer - Carbon Capture materials testing

Director Applied Science ADAS

Senior Data Scientist

Mobile SDK Lead

Staff Research Scientist

Lead Data Scientist, Revenue - Ads, Revenue

ML Software Internship

Staff Product Manager - AI - 100% Remote - EMEA

Senior Software Engineer - QuantumBlack, AI by McKinsey

Manager Data Science

Manager Data Science

Machine learning Engineer

Machine Learning Engineer - Fulfillment

Staff Software Engineer

Data Science Consultant

Ik wil de nieuwste vacature-alerts ontvangen voor de functie van applied scientist in amsterdam

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What You'll Do

Modeling and ML Development

AI and Agentic Capabilities

Technical Contribution and Collaboration

MLOps and Production Practice

Who You Are

Required

Preferred

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