eDreams ODIGEO

We're looking for an experienced Senior Data Scientist to design and implement advanced analytics and machine learning solutions that improve customer experiences and business outcomes.

🎯 Responsibilities

• Work with multidisciplinary teams and key stakeholders to create value and drive growth for customers and the business
• Design and implement advanced analytics and machine learning solutions across areas such as fraud detection, recommendation engines, user experience personalisation, travel-plan optimisation, and marketing optimisation
• Take ownership of initiatives from initial definition through successful delivery and final outcomes
• Provide clear visibility into initiatives, progress, and outcomes for the team and stakeholders
• Advise and influence stakeholders on the best course of action
• Explore new ideas, approaches, technologies, and algorithms to identify the right solution for each problem
• Keep up to date with advances in machine learning and artificial intelligence
• Lead and mentor data scientists
• Promote the effective use of machine learning and artificial intelligence across the organisation
• Contribute to a friendly, collaborative, and respectful working environment

🛠️ Requirements

• Degree in a quantitative field, such as Mathematics, Statistics, Computer Science, Physics, Engineering, or a related discipline
• At least 5 years of relevant experience as a Data Scientist, AI Specialist, Machine Learning Engineer, or in a similar role
• Solid understanding of relevant statistical, data processing, and machine learning methods
• Practical experience implementing machine learning methods with standard open-source frameworks
• Experience building production-ready machine learning solutions and applying MLOps practices
• Strong Python development skills
• Experience with cloud platforms and scalable solutions
• Strong written and spoken English communication skills

➕ Nice to have

• Experience with additional programming languages
• Experience creating solutions powered by Generative AI, particularly Large Language Models
• Experience with LLM frameworks such as LangChain

🤗 Benefits and development

• Competitive salary and benefits package, including flexible benefits and performance-based bonuses
• Prime Plus membership
• Birthday day off, discounts, partnerships, and relocation support
• Choice of equipment, with the possibility of keeping it free of charge after three years
• Free access to Coursera, soft-skills workshops, technical training, leadership development, and a structured onboarding programme
• Personalised career paths, the eVOLVE development programme, internal mobility, and opportunities for career changes and promotion
• Support for employee well-being, flexibility, and work-life balance
• After-work events, padel tournaments, parties, and communities based on shared interests such as sports and music
• No formal dress code, plus free fruit, coffee, and tea at the offices
• An open, diverse, and collaborative environment that supports innovation, learning, growth, and high performance
• Agile ways of working and a culture of recognition

We're looking for a Performance Marketing Product Owner (MarTech) to lead marketing measurement and data activation across web, app, media, and measurement platforms.

🎯 Responsibilities

• Report to the Head of Marketing Measurement & Data Activation and define the data-enablement roadmap for each media platform and measurement partner.
• Lead the media tracking and data activation agenda by setting priorities, identifying opportunities, and ensuring robust, timely, and future-proof implementations across channels and platforms.
• Orchestrate the implementation of web and app tracking, audience creation, and marketing data feeds with a dedicated engineering team.
• Partner with Legal and Compliance teams to ensure tracking frameworks remain aligned with GDPR and privacy requirements.
• Advise marketing teams on technical feasibility and guide them in operationalizing and measuring new marketing strategies.
• Define event-tracking specifications for web and mobile using Google Analytics, AppsFlyer, Google Tag Manager, SDKs, and data layers, then coordinate implementation with engineering.
• Build and manage audience segments across Meta, TikTok, Criteo, Google Ads, Microsoft Ads, Apple Ads, and additional DSPs.
• Audit tracking implementations for accuracy, completeness, and compliance, and establish processes for ongoing monitoring and validation.
• Troubleshoot tracking and tagging issues, working with development teams to identify root causes and implement fixes.
• Conduct ad hoc analyses to identify tracking gaps, quantify business impact, and evaluate the value of new or improved tracking implementations.
• Document tracking setups, audience definitions, and compliance decisions to support transparency, scalability, and smooth handovers.
• Stay current with new products, features, and best practices across media and measurement platforms.

🛠️ Requirements

• At least 3 years of experience in analytics implementation, MarTech, AdTech, or a closely related field.
• Master’s degree in a technical or scientific discipline, such as Computer Science, Information Systems, Information Technology, Data Engineering, Mathematics, Physics, Statistics, or Chemistry.
• Expertise implementing conversion tracking across marketing platforms, including pixels, CAPI, APIs/events, enhanced conversions, or equivalent solutions.
• Experience with audience setup, product and data feed catalogues, conversion windows, and attribution configurations.
• Strong understanding of web and app analytics fundamentals, including event structures, conversion tracking, and data layer design.
• Experience with tracking and measurement ecosystems for major media platforms, including Meta, TikTok, YouTube, Google Ads, Microsoft Ads, Apple Ads, Criteo, and others.
• Exceptional attention to detail and a rigorous approach to accuracy and quality.
• Strong problem-solving, troubleshooting, and quality assurance skills.
• Proactive, fast-learning, and naturally curious about data privacy, tracking technologies, and the evolving marketing technology landscape.

➕ Preferred qualifications

• Comfort using practical AI tools such as Gemini or other AI-powered assistants.
• Curiosity and eagerness to explore, experiment with, and integrate emerging AI-driven solutions into workflows.
• Ability to leverage AI tools effectively to streamline processes and enhance productivity.
• Enthusiasm for continuous learning and quickly adapting to new AI features and capabilities.

🤗 Benefits

• Prime Plus membership, competitive salary and benefits package, flexible benefits, performance-based bonuses, birthday day off, discounts and partnerships, relocation support, and premium equipment with role-based selection options.
• Device ownership through an equipment lifecycle program when equipment reaches its refresh cycle.
• Continuous learning through free Coursera access, soft skills workshops, technical training, leadership development, and a structured onboarding program.
• Personalized career paths, the eVOLVE Program, internal mobility opportunities, and support for career changes and promotions.
• Flexibility, employee care, transparency, and support for work-life balance.
• After-work events, padel tournaments, parties, and communities based on shared interests such as sports and music.
• A relaxed environment with no dress code, plus free fruit, coffee, and tea at the offices.
• An innovative, collaborative, and healthy environment with an Agile mindset and a focus on recognition, learning, and growth.