20 publicaciones de empleo destacadas de lead data scientist en comunidad de madrid (¡Están contratando!)

Machine Learning Scientist / Applied Scientist, EU Prime and Marketing Analytics & Science (PRIMAS)
Amazon Spain Services, S.L.U. —Madrid, Madrid provincia
- Jornada completa
- Doctorado
- Informática
- Java
Senior Data Practitioner (Data / Analytics Engineering) - BCN/ MAD/ MUC
ailylabs —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Oficina
- SQL
- AWS
Solicitud rápida
Mid Data Practitioner (Data / Analytics Engineering) - BCN/ MAD/ MUC
ailylabs —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Oficina
- SQL
- AWS
Solicitud rápida
Technical Recruiter
Happyrobot Inc. —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Reclutamiento
- Seguro oftalmológico
Product Designer - Hiring Sprint
Revolut —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Informática
- Oficina
- Máster
Data Engineer - Security Insights and Automation
Roche —Madrid, Madrid provincia
- Jornada completa
- SQL
- APIs
- Python
Senior AI Scientist Advanced Analytics - CDAIO
Santander Bank —Boadilla del Monte, Madrid provincia
- Horas extra
- Español
- Inglés
- Machine learning
- Abono gimnasio
- Seguro de vida
Head of Business Intelligence, Data & Analytics
Fayara —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- SQL
- Machine learning
Solicitud rápida
Senior Data Insights Consultant
Wunderman Thompson MAP —Madrid, Madrid provincia
- Inglés
- Oficina
- SQL
Senior Technical Project Manager - Martech
Wunderman Thompson MAP —Madrid, Madrid provincia
- CRM software
- Oficina
- AWS
Data & AI Strategy Data Science Analyst
Accenture —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Inglés
- Oficina
Senior Adobe Application Consultant
Wunderman Thompson MAP —Madrid, Madrid provincia
- CRM software
- Oficina
- AWS
Lead AI/ML Engineer - BCN/MAD
ailylabs —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- DevOps
- Oficina
- Máster
Solicitud rápida
BIM Manager
AECOM —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Español
- Inglés
- Liderazgo
- Seguro dental
- Vacaciones pagadas
BIM & Digital Specialist
AECOM —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Inglés
- Scripting
- Seguro dental
- Vacaciones pagadas
11d
Director Tech Strategy Advice & GenAI - Healthcare & Life Sciences
Simon-Kucher & Partners —Madrid, Madrid provincia
- Español
- Sistemas ERP
- Inglés
Environmental Permitting and Regulatory Compliance Specialist
Black & Veatch Family of Companies —Madrid, Madrid provincia
- Jornada completa
- Español
- Inglés
- Grado
- Vacaciones pagadas
Strategic Value & Process Optimisation Consultant - Supply Chain
Celonis —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Español
- Oracle
- Informática
- Vacaciones pagadas
Senior Manager - Data Science (Martech/CRM)
Wunderman Thompson MAP —Madrid, Madrid provincia
- CRM software
- Azure
- Salesforce
Senior AI/ML Engineer - BCN/MAD
ailylabs —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- DevOps
- Oficina
- Máster
Solicitud rápida

Quiero recibir la alerta de empleo más reciente de lead data scientist en comunidad de madrid

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Machine Learning Scientist / Applied Scientist, EU Prime and Marketing Analytics & Science (PRIMAS)

Amazon Spain Services, S.L.U. -
Madrid, Madrid provincia

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Detalles del empleo

Jornada completa

Cualificaciones

Doctorado
Informática
Estructura de datos
Java
C++
Machine learning
Desarrollo de software
Marketing integrado
Python
Marketing

Descripción completa del empleo

DESCRIPTION

Are you interested in building the measurement foundation that proves whether targeted, cohort-based marketing actually changes customer behavior at Amazon scale?

We are seeking an Applied Scientist to own measurement and experimentation for our Lifecycle Marketing Experimentation roadmap within the PRIMAS (Prime & Marketing Analytics and Science) team. In this role, you will design and execute rigorous experiments that measure the effectiveness of audience-based marketing campaigns across multiple channels, providing the evidence that guides marketing strategy and investment decisions.

This is a high-impact role where you will build measurement frameworks from scratch, design experiments that isolate causal effects, and establish the experimental standards for lifecycle marketing across EU. You will work closely with business leaders and the senior science lead to answer critical questions: does targeting specific cohorts (Bargain hunters, Young adults) improve efficiency vs. broad campaigns? Which creative strategies drive behavior change? How should we optimize marketing spend across channels?

Key job responsibilities
Measurement & Experimentation Ownership:
1. Own measurement end-to-end for lifecycle marketing campaigns – design experiments (RCTs, geo-tests, audience holdouts) that measure campaign effectiveness across marketing channels
2. Build measurement frameworks and experimental best practices that work across different activation platforms and can scale to multiple campaigns
3. Establish experimental standards and tooling for lifecycle marketing, ensuring statistical rigor while balancing business constraints

Causal Inference & Analysis:
1. Apply causal inference methods to measure incremental impact of marketing campaigns vs. counterfactual
2. Navigate measurement challenges across different platforms (Meta attribution, LiveRamp, clean rooms, onsite tracking)
3. Analyze experiment results and provide optimization recommendations based on statistical evidence
4. Establish guardrails and success criteria for campaign evaluation

About the team
The PRIMAS team, is part of a larger tech tech team called WIMSI (WW Integrated Marketing Systems and Intelligence). WIMSI core mission is to accelerate marketing technology capabilities that enable de-averaged customer experiences across the marketing funnel: awareness, consideration, and conversion.

BASIC QUALIFICATIONS

PhD in computer science, machine learning, engineering, or related fields
Experience in patents or publications at top-tier peer-reviewed conferences or journals
Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Experience building machine learning models or developing algorithms for business application
Experience with programming languages such as Python, Java, C++

PREFERRED QUALIFICATIONS

Experience in professional software development
Experience in designing experiments and statistical analysis of results

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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Quiero recibir la alerta de empleo más reciente de lead data scientist en comunidad de madrid

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