Sr Data Scientist
Publicado en 2025-12-25
-
TI/Tecnología
Analista de datos, Científico de datos, Machine Learning, Ingeniero de datos
Overview
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.
- 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.
- 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, Py Spark - Knowledge in cloud-based analytics platforms such as Google Cloud Platform and Big Query.
- Lifetime Value Concepts and hands-on experience analyzing subscription business data and its specific behavioral patterns.
- 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.
- 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! :)
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