Our client is a well known multinational food company based in Barcelona.
We are looking for a Senior Data Scientist Manager to join their Advanced Analytics
team. This role will focus on designing and deploying cutting-edge machine learning and AI
solutions to drive business impact across Research and Innovation, Quality and Food Safety, and Sales.
You will work on high-impact projects such as predictive modeling, causal inference, optimization, and generative AI applications to unlock insights and accelerate decision-making.
Your mission:
* Collaborate with business partners & data project leaders to identify business needs and translate them into actionable measures
* Apply state-of-the-art algorithms and predictive models (Machine Learning/Deep Learning) to answer business problems.
* Model Development: Build, validate, and deploy advanced machine learning models (e.g., CatBoost, XGBoost, deep learning) for forecasting, optimization, and recommendation systems.
* Causal Inference & Experimentation: Apply causal inference techniques and design experiments to measure the impact of interventions.
* Data Strategy: Partner with data engineers to ensure robust data pipelines and scalable architectures.
* Business Impact: Translate complex analytics into actionable insights for stakeholders in business like QFS, R&I, Ops, Sales, Marketing.
* Innovation: Explore and implement state-of-the-art AI techniques (e.g., generative AI, reinforcement learning) to solve business challenges.
* Mentorship: Guide junior data scientists and foster best practices in coding, model governance, and documentation.
Requirements:
We are looking for people having the following technical skills:
* Programming: python (pandas, numpy), Spark, Git
* Modeling: supervised & unsupervised learning
* Infrastructure : Cloud (Azure is a plus)
* Data Science tools/modules: Databricks / MLFlow
* Solid understanding of statistics, causal inference, and optimization.
Experience in all or several parts of Advanced Analytics process will be challenged:
* Explore the potential of a raw data set
* Build relevant and performant models and analyses
* Scale, deploy and monitor industrialized projects
* Consistency of approach for a data domain/portfolio of projects
Mandatory skills:
* Substantial experience working on full-life cycle data science project
* Ability to meet tight deadlines and work in an environment with multiple priorities.
* Excellent written and verbal communications skill. In particular, a strong proven ability to communicate statistical and modeling results in a clear manner.
Your benefits:
* 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)