TL;DR
Data Scientist (AI): Developing data science and machine learning solutions for water pipeline integrity, focusing on advanced technologies for inspection and assurance. Focus on designing, developing, and validating ML models and analytical workflows from research to production, identifying patterns, and ensuring measurable business impact.
Location: Hybrid role with office attendance in Wietmarschen-Lohne, Bristol, Osnabrück, or Enschede, with options for home office.
Company
hirify.global Group develops advanced technologies and cloud-based software solutions for water pipeline integrity, utilizing signal processing, computer vision, and machine learning.
What you will do
- Translate business goals into data science and machine learning problems, identifying value-generating approaches.
- Conduct rigorous data analysis and experimentation to identify patterns and adapt strategies.
- Design, develop, and validate machine learning models and analytical workflows for production.
- Define success metrics and KPIs in collaboration with stakeholders to ensure measurable business impact.
- Produce clear documentation, visualizations, reports, and dashboards for technical and non-technical audiences.
- Validate data quality, recommend improvements, and identify risks like model bias and drift.
Requirements
- Proven experience designing experiments, building models, and delivering data science solutions in production.
- Solid understanding of supervised/unsupervised learning algorithms, statistics, and linear algebra.
- Hands-on experience applying ML and statistical methods to complex real-world data (sensor, time series, signal recordings).
- Strong proficiency with Python and core data science libraries (PyTorch, scikit-learn, pandas, numpy).
- Practical skills in statistical analysis, data visualization, and feature engineering.
- Experience with Git, environment management (Docker, poetry, uv), and at least one major cloud platform (AWS, Azure, or GCP).
Nice to have
- Ability to implement algorithms from academic papers.
- Experience processing ultrasound data and video data.
- Experience with PyTorch Lightning, OpenCV, CVAT, ROS.
Culture & Benefits
- Opportunities for development and career advancement within a global, innovative group.
- Flexible working hours, working time accounts, and home office options.
- Open, informal corporate culture that celebrates success with social events.
- Local benefits depending on the hiring location.
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