Senior Data Scientist

Company Description

Founded in 2014, Shippeo is a leading European SaaS company specializing in supply chain visibility. Over the past two years, we have experienced rapid growth, securing €140 million in funding, including €30 million raised in January 2025. At Shippeo, we take pride in our exceptional diversity, with a team comprising 27 nationalities and fluent in 29 languages. With offices spanning Europe, North America, and most recently Asia, we deliver global, multimodal, real-time transportation visibility to customers across industries such as retail, manufacturing, automotive, and CPG. Our vision is to become the world's leading data platform for the freight industry. By leveraging our expanding network, real-time data, and AI, we empower supply chains to deliver superior customer experiences while achieving operational excellence.

Position Overview

• Location Type: Remote
• Job Type: Full-time
• Salary: Not specified

Are you a visionary Senior Data Scientist ready to revolutionize global supply chains with the power of AI? We're not just looking for someone to build models; we're seeking a probabilistic powerhouse and machine learning maestro who can unlock unprecedented efficiencies and strategic advantages. Imagine leading the charge in designing, building, and deploying intelligent systems that directly impact the future of supply chains.

Responsibilities

• Drive Innovation at Scale:
  • Architect & Innovate: Go beyond traditional modeling. Design and implement cutting-edge predictive and prescriptive models that tackle complex supply chain challenges. Focus on advanced regression, time-series forecasting, and exploring novel Machine Learning techniques to deliver measurable business impact.
  • Research & Prototype: Conduct independent research, rapidly prototype groundbreaking ideas, and transform them into robust, production-ready solutions.
  • Build for Impact: Own the entire Machine Learning lifecycle, crafting scalable Python code and leveraging PySpark and distributed systems for massive datasets. Ensure models are accurate, performant, and maintainable.
  • Seamless Deployment: Champion CI/CD, Docker, and Kubernetes to deploy and manage high-availability microservices, ensuring AI-driven insights are continuously delivered to the business.
  • Strategic Collaboration: Work with product leaders, translating complex technical solutions into clear business value and informing critical strategic decisions.

Requirements

• Mastery of the Craft: An MSc (or higher) in a quantitative field (e.g., Applied Mathematics, Computer Science, Engineering). Strong understanding of probability and statistics.
• Pythonic Prowess: Expert-level Python skills with deep experience in libraries like scikit-learn, Pandas, and NumPy. Write clean, modular, and testable code following best software engineering practices (OOP, abstractions).
• Data Whisperer: Fluent in SQL and adept at wrangling complex, large-scale datasets.
• Distributed Systems Dynamo: Proven experience with Apache Spark (PySpark a plus) and asynchronous computing.
• Production Pioneer: Strong track record of successfully building, deploying, and maintaining machine learning models in production environments.
• DevOps Savvy: Comfortable with Git, Linux, Docker, and ideally Kubernetes for deployment and orchestration. Experience with GCP is a bonus.
• Impact-Driven Communicator: Effectively bridge the gap between technical complexity and business needs.