We are Merlin Digital Partner! A leading IT and Digital headhunting company who stands out from the crowd, boasting over a decade of experience. We've successfully collaborated and played a pivotal role in the growth of industry heavyweights such as Wallapop, Glovo, Banc Sabadell among others.

Our emphasis lies in people-centric approaches and optimizing the selection processes. Our mission is to revolutionize companies by seamlessly integrating top-tier talent. What sets us apart is our in-depth understanding of each partner (being their best influencer!), addressing not only their needs but also capturing their essence.

We are currently looking for a Senior Data Scientist, for one of our clients, a leading company in the field of software development. We are looking for an analytical mind, someone who has data in their DNA 🧬

What they are looking for 🚀

• Predictive Model Development: Build, refine, and deploy advanced lifetime value (pLTV) models tailored to subscription-based applications, applying a range of machine learning and statistical approaches.
• Data Management: Partner with data engineering teams to secure well-structured, high-quality data streams, ensuring that the right sources from subscription platforms are identified and continuously maintained.
• Model Assessment: Conduct thorough validation exercises to evaluate performance and accuracy, and fine-tune models as new datasets and evolving business priorities emerge.
• Cross-Functional Integration: Collaborate closely with product, engineering, and marketing teams to embed pLTV solutions into existing systems, enabling data-driven decision-making across functions.
• Monitoring & Maintenance: Establish strong monitoring practices to track ongoing performance, troubleshoot anomalies, and safeguard long-term model reliability.
• Experimentation & Testing: Design and run controlled experiments (including A/B testing) to measure the effectiveness of strategies informed by pLTV insights.
• Insight Sharing: Translate technical findings into clear, actionable recommendations, tailoring communication for both specialist and non-technical audiences.
• Continuous Innovation: Keep pace with emerging trends in machine learning, data science, and customer lifetime value methodologies, introducing new ideas and best practices to the team.

How is the mind that their are looking for 🤹🏼

• 🎓 Advanced degree (Master’s or PhD) in a quantitative discipline such as Data Science, Statistics, Mathematics, Computer Science, or a related field.
• Experience in data science roles, with demonstrated expertise in designing and deploying predictive models in production
• STACK: Python and/or R programming, SQL, Machine learning techniques (including regression, classification, time-series forecasting, deep learning, retention models, and others), Spark, PySpark,
• Knowledge in cloud-based analytics platforms such as Google Cloud Platform and BigQuery.
• Lifetime Value Concepts and hands-on experience analyzing subscription business data and its specific behavioral patterns.

Core Competencies ❤️

• Exceptional analytical and problem-solving capabilities.
• Confident communicator with the ability to present findings to diverse stakeholders.
• Collaborative mindset combined with the ability to work autonomously in fast-moving environments.
• High attention to detail and a commitment to accuracy and model quality.

What they offer: 

• Professional growth: Continuous opportunities to expand your skills and shape your career path.👣
• Flexibility and flexible schedule: Work arrangements designed to support a healthy work-life balance.
• Competitive package: A solid compensation plan complemented by benefits that truly matter.
• Competitive salary, full-time permanent contract, and top-tier private health insurance 
• Great culture: A collaborative and dynamic environment where innovation and creativity are encouraged. 
• Amazing office in Barcelona you'll find it complete with free coffee, fresh fruit, snacks, a game room, and a rooftop terrace with stunning views

If you analyse right, apply! :)