Data Scientist
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Role We are looking for an Advanced Data Scientist with a strong technical background in data engineering, Machine Learning, and Business Intelligence, capable of designing data processing solutions, automating data ingestion, and developing analytical and predictive models.
Who We Are Altia is a high-value digital transformation services company that has undertaken, changed, and reformulated international projects for nearly a thousand clients, leaders in their sectors, who have understood that their businesses can be revolutionized through digitalization. Over its 30 years of experience, it has proven to be a robust company with a future, a capacity for innovation, and adaptability.
The project
Data Engineering & Integration: Design and implement automated data ingestion, transformation, and processing pipelines, ensuring reliable and scalable data flows.
Data Architecture & Modelling: Design robust analytical data models and cloud-based data architectures to support advanced analytics and Business Intelligence solutions.
Advanced Analytics & Machine Learning: Develop statistical and predictive models and contribute to analytical solutions that transform complex datasets into actionable insights.
Automation & Data Management: Implement metadata-driven automation and contribute to efficient data lifecycle and knowledge management processes.
MLOps & Delivery: Apply software engineering practices including version control, CI/CD, model management, testing, and release management to ensure reliable analytical solutions.
Technical Collaboration: Work autonomously while collaborating with technical and non-technical stakeholders, translating business needs into scalable data solutions and communicating results clearly.
Stack
Programming & Data Engineering: Python, R, SQL, data integration, transformation, ETL/ELT, data pipelines and automation.
Data Platforms & Architecture: Cloud Data Warehouses, Amazon Redshift, cloud environments, data catalogues, analytical architectures and data modelling.
Data Processing: Apache Airflow, dbt, Apache Spark, metadata-driven processing and workflow orchestration.
Business Intelligence: Tableau, SAS, SAP Analytics, Qlik, Power BI, Superset.
MLOps & Software Engineering: Git, CI/CD, model registry, unit testing, release management and MLOps practices.
Analytics: Statistical modelling, predictive modelling, advanced analytics and Machine Learning.
What we offer
High-impact project
Collaborative work environment
Career Plan
Training Plan
Flexible Remuneration
The present job offer is drafted taking into account impartiality and non-discrimination on the grounds of gender, race, ideology, or any other reason. Especially, it takes into account the respect for the current regulations regarding gender equality between women and men (Royal Decree-Law 6/2019).
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