Data Scientist - AI-Driven Freight Analytics & Dashboards

Einride SWE; Stockholms kommun; On-site; SEK 380,724 - 598,281; Full time

Job summary

Einride SWE is seeking a full-time Data Scientist to join the Solution EMEA team. This role involves designing analytical infrastructure, automating workflows using AI, and working directly with complex transportation and logistics data. You will be responsible for building tools that support customer engagements and generating actionable insights from data.

The ideal candidate will have a degree in a relevant field and at least 2 years of experience in data science or analytics. Proficiency in Python and SQL is essential, along with experience in data visualization tools and cloud platforms.

Qualifications

• Minimum 2+ years' experience in a data science, analytics engineering, or quantitative analytics role.
• Proficiency in Python (pandas, NumPy, etc.) and SQL are core requirements.
• Hands-on experience with cloud data platforms such as BigQuery, Snowflake, or similar.

Responsibilities

• Identify and automate manual analytical workflows using AI as a native capability.
• Design and maintain data pipelines to ingest, clean, and structure large-scale datasets.
• Build and maintain internal dashboards and automated reporting tools.

Skills

Python

SQL

Data visualization

Analytical mindset

Cloud data platforms

GenAI tools

Education

Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Engineering, Mathematics

Tools

Looker Studio

BigQuery

Snowflake

Job description

Einride SWE is seeking a full-time Data Scientist to join the Solution EMEA team. This role involves designing analytical infrastructure, automating workflows using AI, and working directly with complex transportation and logistics data. You will be responsible for building tools that support customer engagements and generating actionable insights from data.

The ideal candidate will have a degree in a relevant field and at least 2 years of experience in data science or analytics. Proficiency in Python and SQL is essential, along with experience in data visualization tools and cloud platforms.