Data Scientist
Einride AB, Brockport, NY, United States
Intro
As a Data Scientist on the Solution EMEA team at Einride, you will be both a builder and an analyst. You will play a key role in designing the analytical infrastructure that powers the team – automating manual workflows using AI as a native capability, creating internal tools that scale our work, and supporting data pipelines where needed. At the same time, you will be hands‑on in the analysis itself: generating insights from transport data and translating those insights into clear outputs that drive decisions.
You will:
Identify and automate manual analytical workflows using AI as a native capability – turning repetitive, time‑consuming processes into scalable internal solutions
Generate insights from complex transport data (fleet performance, route optimisation, energy consumption, freight lane analysis) and translate them into clear, actionable outputs
Design and maintain data pipelines to ingest, clean, and structure large‑scale transport and logistics datasets, primarily using SQL and Python
Build and maintain internal dashboards and automated reporting and analysis tools
Collaborate closely with Business Analysts and Solution colleagues to identify high‑value analytical challenges and build scalable solutions
Stay current with advances in AI and analytics tooling – and actively integrate new approaches into the team’s ways of working
What we expect of you:
Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Engineering, Mathematics, or similar
2+ years’ experience after graduation in a data science, analytics engineering, or quantitative analytics role
Proficiency in Python (pandas, NumPy, etc.) and SQL are core requirements and key areas of interest – you think in code and are comfortable wrangling large, messy datasets
Hands‑on experience with cloud data platforms such as BigQuery, Snowflake, or similar
Proficiency in data visualisation tools – Looker Studio in particular – and a strong instinct for turning data into clear, compelling visual stories
Comfortable applying GenAI tools (Claude, GPT‑4, Gemini, etc.) as native building blocks for automating analytical workflows and constructing internal tools
Strong analytical mindset with the ability to translate complex data into clear insights that drive decisions
Self‑starter and team player: you take ownership of problems, work well with ambiguous real‑world data, and communicate technical findings clearly to non‑technical stakeholders
Interest in transport, logistics, e‑mobility, and sustainability – curiosity about the domain is a genuine advantage
This is a full‑time position based in Stockholm or Gothenburg.
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As a Data Scientist on the Solution EMEA team at Einride, you will be both a builder and an analyst. You will play a key role in designing the analytical infrastructure that powers the team – automating manual workflows using AI as a native capability, creating internal tools that scale our work, and supporting data pipelines where needed. At the same time, you will be hands‑on in the analysis itself: generating insights from transport data and translating those insights into clear outputs that drive decisions.
You will:
Identify and automate manual analytical workflows using AI as a native capability – turning repetitive, time‑consuming processes into scalable internal solutions
Generate insights from complex transport data (fleet performance, route optimisation, energy consumption, freight lane analysis) and translate them into clear, actionable outputs
Design and maintain data pipelines to ingest, clean, and structure large‑scale transport and logistics datasets, primarily using SQL and Python
Build and maintain internal dashboards and automated reporting and analysis tools
Collaborate closely with Business Analysts and Solution colleagues to identify high‑value analytical challenges and build scalable solutions
Stay current with advances in AI and analytics tooling – and actively integrate new approaches into the team’s ways of working
What we expect of you:
Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Engineering, Mathematics, or similar
2+ years’ experience after graduation in a data science, analytics engineering, or quantitative analytics role
Proficiency in Python (pandas, NumPy, etc.) and SQL are core requirements and key areas of interest – you think in code and are comfortable wrangling large, messy datasets
Hands‑on experience with cloud data platforms such as BigQuery, Snowflake, or similar
Proficiency in data visualisation tools – Looker Studio in particular – and a strong instinct for turning data into clear, compelling visual stories
Comfortable applying GenAI tools (Claude, GPT‑4, Gemini, etc.) as native building blocks for automating analytical workflows and constructing internal tools
Strong analytical mindset with the ability to translate complex data into clear insights that drive decisions
Self‑starter and team player: you take ownership of problems, work well with ambiguous real‑world data, and communicate technical findings clearly to non‑technical stakeholders
Interest in transport, logistics, e‑mobility, and sustainability – curiosity about the domain is a genuine advantage
This is a full‑time position based in Stockholm or Gothenburg.
#J-18808-Ljbffr