Senior Data Scientist
Role details
Job location
Tech stack
Job description
Designing Deploying Solutions: Lead the creation of ML and AI solutions for Research Innovation, Quality, and Sales. Model Development: Build and validate advanced models using CatBoost, XGBoost, and Deep Learning for forecasting and recommendations. Driving Innovation: Explore the next big thing, from Generative AI to Reinforcement Learning, to solve complex business challenges. Causal Inference: Design experiments and apply causal inference techniques to measure the true impact of our interventions. Collaboration Strategy: Partner with data engineers on scalable architectures and ensure your insights are actionable for stakeholders in Marketing, Ops, and R I. Mentorship: Share your expertise by guiding junior data scientists and championing best practices in coding and model governance
position requisites
- Formación: Grado: Grado en Informática y Servicios
- Idiomas: Inglés: C1
- Conocimientos: python, azure, deep learning, aplicación de modelos de machine learning
- Experiencia: 7 años
Requirements
We 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. Experience in the FMCG industry is a huge plus!. 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. Tools: Hands-on experience with Databricks, MLFlow, and Cloud infrastructure (Azure is a bonus). Data Mastery: Deep understanding of supervised/unsupervised learning, statistics, and optimization. Soft Skills: You can translate complex statistical results into clear stories for any audience and can manage multiple priorities with ease. Language: Fluency in English is a must.
Benefits & conditions
Impact: Work on high-stakes projects like predictive modeling and GenAI that directly influence global food safety and sales. Innovation-Driven Environment: Get the tools and freedom to experiment with state-of-the-art algorithms. Professional Growth: Take on a leadership role through mentorship and the management of full-life cycle data projects. Prime Location: Enjoy working from our vibrant hub in Barcelona. 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) Competitive and appealing salary and bonus 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)