Data Scientist

Scope: 100% - currently hybrid setup, with 3 days/week at the office. Duration: 8 months to begin with Availability: As soon as possible

Assignment Overview

We are looking for a Data Scientist to solve complex business challenges within parts and contract pricing, warranty claim assessment, and cost control analysis.

The role combines strong Python engineering with mathematical and statistical expertise to develop, deploy, and continuously improve data science solutions. You will work with structured and unstructured data, including text and images, and collaborate closely with Data Scientists, Data Engineers, and business stakeholders to deliver practical solutions.

Responsibilities

• Explore and analyze data, translating business requirements into data science problems and solutions.
• Develop, evaluate, and improve machine learning, deep learning, statistical, and optimization models.
• Build and maintain Python code and pipelines for model training and inference.
• Deploy and maintain containerized solutions using AWS SageMaker AI, ECS, and Snowflake.
• Perform data analysis and processing in Snowflake using Snowpark and SQL.
• Contribute to CI/CD pipelines, technical documentation, and shared development practices.
• Evaluate solution performance together with business stakeholders and drive continuous improvements.
• Collaborate within an agile team and contribute to technical decisions.

Education

Must Have

• Degree or equivalent background in Computer Science, Physics, Mathematics, Statistics, or another quantitative field, with strong computational skills.

Experience

Must Have

• Strong Python programming and software development skills.
• Experience developing and applying machine learning or statistical models.
• Practical knowledge of Git and collaborative software development.

Nice To Have

• Experience with PyTorch or TensorFlow for deep learning.
• Experience with RAG and MCP, or a solid understanding of how to apply them in practical solutions.
• Familiarity with Bash scripting.
• Experience with CI/CD, containerization, and deployment workflows.
• Familiarity with AWS (SageMaker, Bedrock, ECS, EC2 etc.), Snowflake and Snowpark.
• Experience maintaining technical documentation using tools such as MkDocs and GitLab Pages.

Language

Must Have

• English

Nice To Have

• Swedish

Personal / Soft Skills

• Strong analytical and critical thinking skills.
• Curious, collaborative, and solution-oriented mindset.
• Ability to communicate complex technical findings clearly to stakeholders with different backgrounds.
• Strong problem-solving skills and sound technical judgment.
• Comfortable collaborating across technical and business functions.
• Ability to select appropriate tools and approaches based on business needs.

Other Specifications

• Work environment: Agile team working across production systems, active development, and new areas of investigation.
• Technology stack: Python, SQL, AWS SageMaker AI, AWS ECS, Snowflake, Snowpark, GitLab, Docker, Streamlit, and Bash.
• AI/ML technologies: PyTorch, AWS Bedrock, AgentCore, OpenAI, agentic AI, and AI-assisted coding agents.
• Documentation tools: MkDocs and GitLab Pages.
• Technical expectations: Strong coding fundamentals, sound judgment, and the ability to develop practical solutions. Experience with every tool in the technology stack is not required.