Senior Data Scientist focusing on industrial AI, responsible for project implementation and supporting the data science team with scalable solutions. Join a hybrid team in Vienna.
GI
Onsite Environmental Data Scientist
Posted 1 hour ago
About the role
- Environmental Data Scientist at GES managing environmental databases and groundwater modeling in contaminated projects. Collaborating with cross-functional teams for project data integration.
Responsibilities
- Administrate the established environmental database and related tools.
- Apply and refine protocols and procedures for data entry, validation, and quality assurance.
- Regularly update and optimize database structures to accommodate evolving business needs.
- Collect, compile, and organize data from various sources, including field measurements, monitoring networks, and remote sensing.
- Perform data processing, transformation, and analysis to derive meaningful information.
- Collaborate with cross-functional teams to integrate datasets.
- Contribute to the development of innovative approaches for assessment and management of environmental data.
- Develop, calibrate, and validate groundwater models using software such as MODFLOW, FEFLOW, or equivalent.
- Conduct scenario analyses to simulate the impacts of various factors on groundwater flow, quantity and quality.
- Interpret model results and provide actionable insights to project teams.
- Stay abreast of the latest advancements in groundwater modeling techniques, tools, and methodologies.
Requirements
- Advanced degree (MSc or PhD) in hydrogeology, environmental engineering, geosciences, or a related field
- Excellent analytical, problem-solving, and critical-thinking abilities
- Proficiency in groundwater modeling software (e.g., MODFLOW, FEFLOW)
- Experience with transforming data through GIS tools (e.g., ArcGIS Pro, QGIS)
- Awareness of asynchronous field collection tools and web map application development is a plus
- Strong programming skills in languages including Python, MATLAB, or R for data analysis and model development
- Experience in database design, administration, and SQL programming, specifically EQuIS is a plus
- Effective communication skills, both verbal and written, for technical and non-technical audiences
- Ability to work independently and collaboratively in a multidisciplinary environment
- Knowledge of statistical methods and uncertainty analysis techniques
- Prior experience in groundwater research, modeling, or database administration is preferred
- Coursework or research project applications with artificial intelligence and/or machine learning would be beneficial
Benefits
- Hybrid work model
- medical
- dental
- vision
- prescription card
- 401k
- FSA
- LTD
- STD
- New Parent Leave
- 529 CollegeBound Fund
- Tuition Assistance
- Bonus Plan
- more
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