Lead Data Scientist at Target developing predictive and prescriptive algorithms for supply chain optimization. Collaborating across teams to foster data - driven decision - making while ensuring continuous innovation.
About the role
- Expert geospatial role focused on GeoAI and data science for critical infrastructure projects. Develops frameworks, integrates data, and applies advanced technologies in a hybrid work environment.
Responsibilities
- Design and maintain complex geospatial repositories (2D / 3D)
- Model spatial data for critical environments
- Develop and operate GIS services compliant with OGC standards
- Work with multi-source data (GIS, BIM, CAD, imagery, sensors)
- Develop spatial and predictive analysis models
- Apply AI to business problems (maintenance, risk, anomaly detection)
- Operate geospatial data pipelines (ETL, automation, quality control)
- Extract value from data through metrics and decision-making dashboards for 3D, BIM & digital twins
- Integrate BIM / CAD / 3D data into GIS environments
- Contribute to the implementation of digital twins for infrastructure
- Apply standards and frameworks from EASA, ICAO (OACI) and OGC
- Participate in design, validation and compliance phases
Requirements
- Master’s degree (Bac +5) in geomatics, geospatial science, data science, AI, computer science, engineering or equivalent experience with strong field expertise
- Proven experience on projects in airports/aviation, defense/maritime, or critical infrastructure
Benefits
- Hybrid work option (remote work up to 3 days per week)
- Meal vouchers (nominal value €10; 60% employer contribution)
- Onboarding events and other internal activities
- All vacation days and RTT (compensatory time off) available from day one
- Employee referral program with bonuses up to €2,750
- Access to social and cultural activities
- Sustainable mobility support (bike and carpooling)
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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