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Multiply Teknik & IT AB logo

Posted 10 months ago

Open

Data Scientist

Kungens Kurva, SEOn-site

AI Summary

Builds end-to-end data solutions and visualisations for VisFlow, developing scalable pipelines and interactive flows that turn complex data into actionable business insights.

About this role

Multiply x VisFlow are looking for a Data Scientist with a strong full-stack profile who can turn complex data into powerful insights and visualisations.

About the role

You will work in projects where data is the backbone for decision-making. Your focus will be on building end-to-end solutions – from data ingestion and transformation to interactive flows and advanced visualisations that make data come alive for business stakeholders in VisFlow, our flagship product.

What you will do

  • Develop and maintain scalable data pipelines.
  • Work with AWS, Databricks, or Snowflake to handle large datasets.
  • Design and optimise database structures for analysis and reporting.
  • Create engaging, user-friendly visualisations that drive business value.
  • Collaborate with cross-functional teams to bridge data, business, and technology.

What we are looking for

  • Solid experience with cloud environments (AWS preferred).
  • Hands-on with Databricks and/or Snowflake.
  • Strong background in databases (SQL and NoSQL).
  • Proven track record in data visualisation (Power BI, Tableau, Qlik, or similar).
  • Programming experience in Python and/or R.
  • Ability to work end-to-end – from raw data to actionable flows.
  • Hands-on experience with front end, back end, and database/information management
  • Outgoing, proactive, and results-driven – delivering fast incremental results that build long-term value.

Observe: This is more a Data Scientist role who is expected to have some Data Engineering skills but the main focus is Data Science with fullstack development experience.

Skills

AWSBack-end DevelopmentDatabase DesignDatabricksData PipelinesData VisualisationFront-end DevelopmentNoSQLPower BIPythonQlikRSnowflakeSQLTableau

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