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# Data Scientist

- **Company:** Sporty Group
- **Location:** Madrid, Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Algorithm Design, Amazon Web Services, Microsoft Azure, Cloud Engineering, Relational Databases, Python (Programming Language), Machine Learning, Recommender Systems, Standard Sql, Google Cloud, Information Technology, Machine Learning Operations
- **Published:** July 15, 2026
- **Apply:** https://www.jobleads.com/es/job/e061d537abaaa024bff0352d718706a9b

## About the Role

* Hands-on experience applying statistical and ML models to real business problems, with measurable impact on revenue or key business outcomes
 * Advanced understanding of Python and the quantitative analysis ecosystem in Python
 * Strong foundation in probability theory, statistics, machine learning, and linear algebra
 * 2+ years of experience as a data scientist, quantitative researcher, quantitative analyst, or another relevant role
 * Knowledge of SQL and experience with relational databases
 * Proficient with AI tools and agents as part of daily development workflow; this role regularly leverages AI-assisted development to accelerate delivery
 * Degree in Applied Mathematics, Computer Science, Financial Engineering, Technology, or Engineering
 * Project and stakeholder management experience is preferred, * Experience working in cloud platforms (AWS, GCP, Microsoft Azure)
 * Relevant knowledge or experience in the gaming industry
 * Solid computer science background

## Description

As a Data Scientist at Sporty, you will build and productionize data-driven ML systems that enhance personalization, search, and recommendation experiences, with a clear focus on measurable business impact. The role combines advanced analytics, Python-based modelling, and cloud engineering to solve real-world problems at scale in a fast-paced product environment., * Utilize advanced algorithms and data mining techniques to build personalized recommendation systems, optimizing product and service recommendations to enhance user experience and improve business conversion rates.

 * Develop and productionize ML/AI systems across multiple domains - including search ranking, recommendation, and content intelligence - that directly impact user growth and business outcomes.


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