Data Scientist / ML Engineer - Madrid Based

About this role

*Who are we?*
We are part of the Alkemy Group, specializing in driving growth through our technological expertise, tackling complex challenges, and fostering operational excellence.

• We are digital natives and technology-neutral thanks to our rapid adaptation capabilities and problem-solving skills in any business situation.
• We are passionate about technology challenges that have a significant impact on business. To address these, we have high-performance teams and the ability to quickly and effectively combine technologies.
• We support our clients in their digital evolution to achieve maximum efficiency in their businesses, leveraging our extensive multi-sector experience.

We invite you to get to know us in depth by exploring the various sections of our website.


*What will you do?*

• Design, develop, and maintain scalable data pipelines using PySpark to efficiently process large volumes of data.
• Develop, test, and optimize Machine Learning models for predictive analytics, including regression, classification, and clustering techniques.
• Manage and deploy Machine Learning environments and workflows using AWS SageMaker, while leveraging Athena for data querying and analysis.
• Integrate Machine Learning models into production pipelines, ensuring proper monitoring, maintenance, and continuous improvement through MLOps best practices.
• Collaborate closely with cross-functional teams to understand business challenges and translate them into data-driven solutions.
• Conduct advanced data analysis using Python and SQL to deliver actionable insights.
• Work collaboratively with multidisciplinary teams using Git/GitHub and agile development methodologies.

What do we value?

• 2–3 years of experience in Data Engineering, Machine Learning, or similar roles.
• Advanced proficiency in Python, including libraries such as Pandas, NumPy, and Scikit-learn.
• Strong SQL skills for data querying, transformation, and analysis.
• Hands-on exp...