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At Nosto, we’re on a mission to make every impression relevant. As a global leader in AI-powered e-commerce personalization, we empower thousands of brands and merchants worldwide to deliver cutting-edge, machine-learning-driven experiences. Our platform powers tens of billions of visitors annually and handles peak traffic of 3 million transactions per minute. As a Data Scientist, you will get the opportunity to work on a wide variety of problems, such as Search and Recommendations, that directly impact the success of our merchants. You will develop AI & Machine-learning based solutions to deliver value and innovation to the Nosto e-commerce platform. As part of Nosto, you will collaborate closely with data engineers and data scientists within the Data and AI team. We operate in a low-hierarchy, politics-free, and collaborative engineering environment where solving real customer problems is our top priority. Our technology stack leverages behavioral data, deep integrations, machine learning, and automated workflows, allowing brands to create fully personalized commerce experiences at scale.
Job Responsibility:
Work within our machine learning research and development cycles to directly deliver new AI capabilities to our customers
Collaborate with software engineers, data engineers and other data scientists to transform ideas and concepts into robust AI-driven solutions for our customers.
Implementing best practices in ML engineering and research, ensuring our models and solutions remain innovative and effective.
Requirements:
Industry working experience in a relevant role (3+ years)
MSc. degree in Computer Science, Mathematics, Artificial Intelligence or related field
Solid experience in working with Python (beyond Jupyter Notebook), and SQL
Experience with machine learning frameworks and libraries such as Pytorch, HuggingFace or Scikit-learn.
A solid understanding of Machine learning and Deep learning models, such as the transformer architecture
Experience working with MLOps pipelines and technologies such as AWS Sagemaker
Fluency in English
Nice to have:
Hands-on experience with Large Language Models: agentic workflows, RAG, integrating LLMs into production environments, inference, and pre-training/fine-tuning methodologies
Experience with distributed systems with large volumes of data
Familiarity integrating and working with data warehouses and data processing pipelines (e.g. Clickhouse, Spark, S3, Airflow, etc.)
What we offer:
Apple Devices
Engineering is also given a selection of one AI tool subscription (e.g. Github Copilot, chatGPT)
Flexible work environment - Ergonomic and centrally located offices with flexible working hours and remote working options
Opportunities to meet and collaborate with awesome team members from all over the world
An extra day off on your birthday
Mental Health App benefit
Paid time off to do good for the community around you
About five weeks of vacation and other benefits depending on the location