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Data scientist - python and sql

Vitoria-Gasteiz
Randstad Digital España
Publicada el 27 marzo
Descripción

Are you ready to turn complex data into real-world impact? At randstad digital, we are looking for a visionary Senior Data Scientist to join an Advanced Analytics team in Barcelona. If you are passionate about using cutting-edge AI to shape the future of food safety, research, and sales, we want to meet you! our clientDanone is a global leader in the food and beverage industry, dedicated to bringing health through food to as many people as possible. You'll work within a world-class Advanced Analytics department where data isn't just numbers, it's the key to unlocking better nutrition and smarter business decisions across the globe.you'll be the bridge between data science and business transformation. Designing & Deploying Solutions: Lead the creation of ML and AI solutions for Research & Innovation, Quality, and Sales.Collaboration & Strategy: Partner with data engineers on scalable architectures and ensure your insights are actionable for stakeholders in Marketing, Ops, and R&I.Share your expertise by guiding junior data scientists and championing best practices in coding and model governance.position requisitesWe are looking for a seasoned professional who thrives in fast-paced environments and loves to "get their hands dirty" with data.Experience: You have over 7 years of experience in Data Science, preferably in a Senior role. Education: You hold an MSc or PhD in Computer Science, Applied Math, Statistics, or a related field.Technical Stack: You are a pro in Python (Pandas, Numpy), Spark, and Git.Hands-on experience with Databricks, MLFlow, and Cloud infrastructure (Azure is a bonus).Data Mastery: Language: Fluency in English is a must.Impact: Work on high-stakes projects like predictive modeling and GenAI that directly influence global food safety and sales.Professional Growth: Take on a leadership role through mentorship and the management of full-life cycle data projects.Hybrid work model (3 days/week home office, 2 days/week office).Flexible schedule (split working day from Monday to Thursday, Friday intensive) and fresh working (July and August).Career development with wide access to professional development tools; trainings.Social benefits in the health field (health insurance, gymnasium, physiotherapy), social benefits (occupational pension plan, life insurance), family assistance (school assistance, study assistance for family members, assistance for disabled family members).Ready to lead the data revolution at Danone?

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