Lead Data Science Architect for Efficient Logistics
hace 7 días
Stuart is a leading tech-enabled logistics platform, transforming on-demand delivery across sectors such as food, grocery, and retail. Operating in over 130 cities across Europe, our company connects businesses with a network of independent couriers, providing access to fast, flexible, and efficient deliveries.
Our MissionWe are an impact-driven company that aims to build the future of logistics for a more sustainable world: shared, efficient, and reliable. We are committed to creating a new standard for urban deliveries that meet today's environmental and social challenges while offering a premium delivery experience blending speed, flexibility, and convenience.
The RoleWe are seeking a Lead Machine Learning Engineer to drive the ML engineering efforts within a highly talented team of Data Scientists and ML Engineers. You will be responsible for critical initiatives that enable the team to develop, deploy, and scale innovative machine learning services in domains such as real-time courier incentive & positioning optimization, prediction of estimated times of arrival (ETAs) & risk signals throughout the package lifecycle, and fraud detection.
Key Responsibilities:- B.
To be successful in this role, you will need:
- 5+ years of hands-on ML engineering experience in production environments, developing data and feature engineering pipelines, optimizing and deploying ML models, and integrating solutions into production systems.
- Advanced level in Python with deep knowledge of data structures, algorithms, object-oriented programming, and CI/CD workflows.
- Strong expertise in building ML infrastructure for event-driven and batch pipelines via Kafka, PySpark, Airflow, DBT, Docker, and Kubernetes.
- Skilled in optimizing AWS services like S3, Redshift, and EKS for scalability and cost efficiency.
- Excellent skills in articulating complex technical concepts to diverse audiences, aligning technical solutions with strategic business goals.
- Proven ability to excel in fast-changing, ambiguous environments while delivering robust technical solutions.
We offer a competitive salary of €80,000 - €100,000 per year, depending on your experience. Additionally, we provide:
- A hybrid working model with 3 days/week in the office.
- Ticket Restaurant by Edenred (€11 daily).
- Wellness Allowance (€40 monthly) to use in any gym or sport class.
- Private healthcare provided by Alan.
- A free monthly Bicing card.
- A parents-friendly environment with a monthly Childcare voucher.
- Social activities and events, including family day, regular community lunch, ceramic class, yoga, gardening class...
- A Work-from-Abroad policy, allowing you to enjoy 30 days per year working from anywhere.
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