Data Scientist

Project overview

For a client in Stockholm, we are looking for a Data Scientist

Responsibilities

About you

Meritorious: Experience with Graph ML, recommendation systems, LLM in production, MLOps/MLflow, NLP, and work with fraud detection or large amounts of telecom data.

On-site in Stockholm, hybrid solution.

Interested contact: Rasmus Nilsson, [contact removed], mobile: 076−626 11 35

• Responsible for the development, training, evaluation, and deployment of ML models within identification, personalization, and spam and fraud detection.
• Develop and optimize models within classical Machine Learning, Deep Learning, ranking, and LLM.
• Ensure high quality in model evaluation through backtesting, A/B testing, and ongoing monitoring.
• Develop common ways of working and tools for experiments, model evaluation, and deployment.
• Collaborate with product and development teams to translate business needs into concrete ML solutions.
• Responsible for model monitoring, performance, and handling of model deviations.
• Several years of experience in developing and deploying Machine Learning models.
• Very good knowledge of Python and SQL, and experience with large-scale data management.
• Experience with classical ML, Deep Learning, and frameworks like PyTorch or TensorFlow.
• Experience with model evaluation, A/B testing, and experiment-driven development.
• Experience with data pipelines and tools like Airflow, dbt, Spark, or Kubernetes.

Project details

• Start: flexible
• Location: SE
• Languages: Swedish