Data Scientist

rewards, constraints, and safety considerations; plan offline evaluations and controlled experiments to validate performance.* Validate and operate production models: define acceptance criteria and test plans, continuously monitor performance/latency/drift, investigate anomalies, and apply corrective measures in partnership with software engineering.* Drive responsible AI practices, model governance, documentation standards, and reproducible experimentation throughout the ML lifecycle.* Partner with product and engineering to scope initiatives, prioritize roadmaps, and integrate models into scalable services with robust observability.* Mentor and coach data scientists; lead technical reviews, elevate code quality, and promote best practices.* Communicate findings and recommendations to stakeholders and leadership through clear narratives and visualizations; influence decision-making with data.Requirements*, Master's in a quantitative field (Computer Science, Statistics, Mathematics

A leading logistics solutions provider is seeking an experienced Senior Data Scientist to lead the design and delivery of machine learning solutions in Valencia. You will manage end-to-end modeling initiatives and partner with engineering teams to deliver impactful AI solutions. The ideal candidate has a Master's degree in a quantitative field and over 6 years of experience in data science. This role offers a competitive salary, comprehensive benefits, and the opportunity to drive AI initiatives in a collaborative environment., * 6+ years of professional experience in data science/ML, including delivering models to production.

• Strong proficiency in Python and deep learning frameworks.
• Track record of operating production ML systems.

Responsabilidades

• Lead end-to-end ML solution design.
• Establish data quality standards and build reliable pipelines.
• Mentor and coach data scientists; lead technical reviews., SQL Data Visualization Reinforcement Learning

Formação académica

Master's in a quantitative field, Operations Research, Engineering) or equivalent experience. PhD, is a plus.* 6+ years of professional experience in data science/ML, including delivering models to production and measuring business impact.* Deep knowledge of statistics, data modeling, machine learning, and visualization; practical experience applying reinforcement learning concepts to real-world decision-making.* Strong proficiency in Python and a deep learning framework (PyTorch or TensorFlow); solid SQL and data wrangling skills.* Proven experience with experiment design, hypothesis testing, and model diagnostics; ability to build clear, decision-focused visualizations.* MLOps competence: containers, CI/CD, and deploying models in cloud environments (Azure/AWS/GCP).* Track record of operating production ML systems, including monitoring, alerting, and incident response.* Excellent communication, stakeholder management, and the ability to lead cross-functional initiatives with global/distributed teams.Preferred* Simulation experience (discrete-event or agent-based) and familiarity with queueing and stochastic modeling.* Logistics and supply-chain domain knowledge (terminal operations, yard management, transportation networks, inventory flows).* Background in optimization and decision intelligence for complex, noisy, or partially observable environments.* Experience with model versioning, monitoring, and automated retraining.* Competitive salary and comprehensive benefits.* Inclusive, diverse, and collaborative team culture.* The opportunity to lead AI initiatives at the frontier of decision intelligence for the supply chain.* Significant impact on real-world operations, with room to grow domain expertise and technical scope.Kaleris is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.locations: Valenciatime type: Full timeposted on: Posted Today

Competitive salary Comprehensive benefits Diverse and inclusive culture