3 weeks ago

Data Intelligence Engineer

Telespazio

Noordwijk-Binnen

3 weeks ago

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Telespazio Belgium seeks a Data Intelligence Engineer for an on-site service at ESTEC in Noordwijk-Binnen, Netherlands. The role involves developing data-driven solutions, applying AI and Machine Learning, and communicating insights to stakeholders. The ideal candidate has 6+ years of experience and a Bachelor's degree in a related field.

AIHybridFull-timeSeniorMachine LearningLarge Language Models

Data Intelligence Engineer

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AIHybridFull-timeSeniorMachine Learning

Salary

Not specified

Work Location

Noordwijk-Binnen, South Holland, Netherlands, NL

Work Model

Hybrid: 3 days in the office, 2 days remote

Experience Required

6 years

Employment Type

Full-time

Experience Level

6+ years of experience

Core Qualifications

Technical (Must-have)

Machine LearningLarge Language ModelsData PipelinesVisualizationsDashboardsPythonSQLStatistical Analysis

Soft Skills

PragmaticImpact-drivenProblem-solvingCommunicationStorytellingIterationIndependenceTeamwork

Key Responsibilities

•Present findings and tell compelling stories using data to stakeholders across the business
•Design and implement Machine Learning models or Large Language Models to solve business problems
•Translate business requirements into data science solutions
•Develop rapid proofs-of-concept to validate ideas and drive decision-making
•Work with messy, incomplete, and unstructured datasets to extract actionable insights
•Build and maintain data pipelines, models, and reusable components using modern software practices with clear documentation
•Iterate quickly on solutions based on feedback and evolving requirements
•Create clear visualizations and dashboards to communicate results effectively

Data Intelligence EngineerMachine LearningAISpaceESAHybridNetherlandsESTEC

Key Responsibilities

•Present findings and tell compelling stories using data to stakeholders across the business

•Design and implement Machine Learning models or Large Language Models to solve business problems

•Translate business requirements into data science solutions

•Develop rapid proofs-of-concept to validate ideas and drive decision-making

•Work with messy, incomplete, and unstructured datasets to extract actionable insights

•Build and maintain data pipelines, models, and reusable components using modern software practices with clear documentation

•Iterate quickly on solutions based on feedback and evolving requirements

•Create clear visualizations and dashboards to communicate results effectively