Data Science Team Lead for Logistics Innovation

hace 4 días

Barcelona, Barcelona, España Stuart A tiempo completo

Company Overview: Stuart is a pioneering tech-enabled logistics platform revolutionizing on-demand delivery across sectors like food, grocery, and retail. Operating in over 130 cities across Europe, Stuart connects businesses with a network of independent couriers, providing access to fast, flexible, and efficient deliveries.

Salary: We offer an attractive salary of approximately €120,000 per annum, commensurate with experience, to drive the success of our Machine Learning team.

Job Description:

We are seeking an experienced Data Science Team Lead to spearhead our Machine Learning engineering efforts within a highly talented team of Data Scientists and ML Engineers. You will take charge of 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.

As a technical leader, you'll not only make key decisions to improve data quality and model performance but also play a hands-on role in building and optimizing advanced solutions to deliver impactful ML products at scale. Our hybrid working model offers a balance between office time and remote work, allowing you to maintain a healthy work-life balance.

Key Responsibilities:

  • Lead the design, implementation, and optimization of our ML backend, enabling the efficient development and deployment of new ML-driven features & products.
  • Own ML services from prototype to production, ensuring performance, reliability, and scalability.
  • Design and implement efficient pipelines for large-scale training data preprocessing using PySpark.
  • Integrate real-time data streaming and model inference using Kafka.
  • Develop and deploy RESTful APIs to serve models for real-time inference.
  • Oversee training, storage, retrieval, deployment, and automated retraining of models applying MLOps best practices.
  • Implement and maintain real-time performance and system health monitoring dashboards.
  • Automate testing, validation, and deployment of ML assets (code, pipelines, models) with CI/CD workflows.
  • Mentor and lead team members, fostering a high-performing, learning-driven engineering culture.
  • Collaborate on product strategy, contribute to roadmap planning, and drive technical decisions across our ML stack.

Requirements:

  • Proven experience as a Technical Lead or Senior Engineer in a similar role.
  • Excellent leadership skills, with the ability to motivate and guide a team.
  • Strong understanding of machine learning concepts, including supervised and unsupervised learning, deep learning, and natural language processing.
  • Familiarity with popular ML frameworks and libraries, such as TensorFlow, PyTorch, and scikit-learn.
  • Experience with big data technologies, including Hadoop, Spark, and NoSQL databases.
  • Strong programming skills in languages such as Python, Java, or C++.
  • Excellent communication and problem-solving skills.

Benefits:

  • A competitive salary and benefits package.
  • The opportunity to work with a pioneering company in the logistics industry.
  • A dynamic and inclusive work environment.
  • The chance to collaborate with a talented team of engineers and data scientists.

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