Data Scientist – Machine Learning

Your tasks

Develop and deploy data-driven solutions for complex business challenges in a cross-functional and agile environment. Do you want to use data, statistics, and machine learning to solve complex business challenges? Here, you will develop robust solutions from analysis and modeling to deployment and continuous improvement. You will become part of an agile team where technology and business value go hand in hand. About the role Work with data-driven solutions within pricing, warranty cases, and cost analysis. Combine Python development with statistical analysis, optimization, and machine learning. Handle both structured and unstructured data, including text and images. Collaborate closely with data scientists, data engineers, and business representatives.

This is what you will do Translate business needs into concrete data science problems and solutions. Develop, evaluate, and improve models for machine learning, deep learning, and optimization. Build and maintain Python code as well as pipelines for training and inference. Deploy containerized solutions in AWS and work with data in Snowflake. Contribute to CI/CD, technical documentation, and shared development principles.

Requirements

We are looking for someone who has Education in, for example, computer science, mathematics, statistics, physics, or another quantitative field. Very good knowledge of Python and experience in software development. Experience in developing and applying machine learning or statistical models. Practical experience with Git and collaborative system development. The ability to communicate technical results clearly to both technical and business-oriented stakeholders.

Technology & Tools Python, SQL, Snowflake, and Snowpark. AWS SageMaker AI, ECS, and EC2. Docker, GitLab, and CI/CD. PyTorch or TensorFlow is a merit. RAG, MCP, AWS Bedrock, Bash, Streamlit, and MkDocs are merits.

Other

Practical information Location: Södertälje. Work style: Hybrid, with work at the office three days per week. Language: English is a requirement. Swedish is a merit.