обновлено 9 часов назад
Global Data Scientist Specialist
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Global Data Scientist Specialist (Python/PySpark/SQL): Building and scaling end-to-end ML pipelines and statistical models to transform structured and unstructured data into actionable insights across Avolta’s global IT landscape with an accent on machine learning, cloud data platforms, and data products. Focus on model validation, explainability, auditability, production monitoring, and translating complex analysis into decisions for non-technical stakeholders.
Location: Madrid, Spain; hybrid flexibility
Company
is a global travel retail and food-and-beverage company serving travelers through outlets across airports, motorways, cruise lines, seaports, and railway stations.
What you will do
- Identify emerging analytics trends, data needs, and innovative solutions for business challenges.
- Collaborate with business analysts and stakeholders to formulate hypotheses and develop models for impactful business questions.
- Design and implement statistical models and perform advanced text, quantitative, financial, and operational analyses.
- Parse, cleanse, transform, and validate structured and unstructured data while resolving inconsistencies and reviewing business logic.
- Build, test, maintain, and scale end-to-end ML pipelines for data processing, model training, deployment, and production monitoring.
- Conduct quality assurance testing and partner with data, IT, and business teams to deliver data products and support adoption.
Requirements
- Experience with data modeling, analytics tools, relational data structures, databases, and data structures.
- Strong programming skills in Python, PySpark, and SQL.
- Strong knowledge of machine learning techniques, model selection, performance evaluation, validation, explainability, interpretability, and auditability.
- Hands-on experience with modern cloud-based data platforms such as Databricks and scalable data architecture.
- Experience delivering end-to-end data products from ingestion and modeling through deployment and business adoption.
- Fluent English, spoken and written, is required. Strong communication and storytelling skills are needed to explain analytical concepts to non-technical stakeholders.
Culture & Benefits
- Work in a collaborative and agile team environment.
- Collaborate cross-functionally with IT, business analysts, data sourcing teams, and business stakeholders.
- Contribute to team growth by leading and supporting colleagues.
- Hybrid work arrangement based in Madrid.
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