Role Overview
As the Data Science Lead, you will lead a team of data scientists and scientific software developers, setting the technical direction for developing, scaling, and supporting TGS’s AI and data technologies. Your primary objective is to turn research into robust, high-performance software that TGS and its clients rely on, in support of the TGS Data-AI strategy.
What You Will Do
You will oversee the design, scaling, and validation of deep learning models for seismic processing, imaging, and interpretation, drive the profiling, parallelization, and optimization of training and inference on GPU and CPU clusters, and champion MDIO and cloud-native data practices.
Why It Might Be a Fit
You will partner with geophysicists, imaging, HPC/IT, and product teams to turn needs into requirements and to support users of TGS AI and data tools across the energy data value chain. You will also track advances in AI, HPC, and data technology, drive open-source contributions, patents, and publications, and represent TGS in technical forums.
Requirements
- Bachelor’s/Master’s degree in Geophysics, Physics, Computer Science, Applied Mathematics, Engineering or a related field
- 5+ years leading R&D or software projects
- 3+ years leading data science, research, or scientific software teams
- Expert Python (NumPy, SciPy, PyTorch) and modern C/C++
- Highly experienced with MPI, CUDA, OpenMP or other parallel programming models on GPU and CPU HPC architectures
- UNIX/Linux and POSIX programming, Git, automated testing, and CI/CD
- Multidimensional, chunked data formats (MDIO, Zarr, SEG‐Y) with Dask/xarray
- AWS (S3, EC2 GPU); containers (Docker, Kubernetes); HPC schedulers (e.g., Slurm)
- Experience with seismic processing, imaging, or interpretation algorithms
- Publications or patents in ML, HPC, or geophysics are a strong advantage
Benefits
- Dental insurance
- Vision insurance
- Health insurance
- Life insurance
- Retirement plan
- Paid holidays
- Flexible working hours
- Remote work options
- Professional development opportunities
To apply for this job please visit careers.tgs.com.

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