Job Description Job Alerts Link Data Scientist Lead Avenida Presidente Wilson 231 Rio de Janeiro, Brazil Posting Start Date: 10/5/26 Field of Work: IT / Technology Req Id: 776 **Purpose \& Scope:** As the Data Science Lead (coordinator), you will lead a team of data scientists and scientific software developers within our Rio de Janeiro R\&D hub, working as one team with TGS Data Science in Houston. You will set the technical direction for developing, scaling and supporting TGS’s AI and data technologies: ML\-driven processing and interpretation, the MDIO open\-source data format and the TGS Data Verse platform — on GPU and CPU HPC clusters and in the cloud. 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 (AI for Growth). **Responsibilities** * Team Leadership: Lead, mentor and grow a team of data scientists and scientific software developers, setting clear technical goals, coding standards and development paths. * Technical Direction: Define the architecture of ML models, data pipelines and HPC/cloud workflows in line with the TGS Data Science roadmap in Houston — one shared codebase and toolset. * AI Development: Oversee the design, scaling and validation of deep learning models for seismic processing, imaging and interpretation, from seismic foundation models (ViT) to 3D CNNs such as SaltNet. * Performance \& Scalability: Drive the profiling, parallelization and optimization of training and inference on GPU and CPU clusters (CUDA, MPI, multi\-node) and on AWS, keeping compute efficient and costs under control. * Data Platforms: Champion MDIO and cloud\-native data practices — chunked, compressed data accessible in place — and integration with TGS Data Verse (Data Lake, OSDU) and Prediktor operational data. * Production Readiness: Own the path from prototype to product — packaging, testing, CI/CD, model registry and deployment into TGS production software (e.g., Imaging AnyWare) and HPC environments. * Engineering Excellence: Establish best practices across research and production code: clean architecture, code review, automated testing, documentation and reproducible experiments. * User \& Business Support: 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. * Innovation \& Representation: Track advances in AI, HPC and data technology; drive open\-source contributions (e.g., MDIO), patents and publications; represent TGS in technical forums. **Education \& Experience** * Education: Bachelor’s/Master’s degree in Geophysics, Physics, Computer Science, Applied Mathematics, Engineering or a related field, including 5\+ years leading R\&D or software projects. * Leadership Experience: 3\+ years leading data science, research or scientific software teams, with a track record of delivering software to production. * Technical Experience: + Expert Python (NumPy, SciPy, PyTorch) and modern C/C\+\+; Fortran is a plus. + Highly experienced with MPI, CUDA, OpenMP or other parallel programming models on GPU and CPU HPC architectures. + Highly experienced in debugging, profiling and optimizing scientific code (e.g., Nsight, perf, VTune). + Distributed training and inference of deep learning models (DDP/FSDP, mixed precision) and MLOps practices (experiment tracking, model registry, deployment). + UNIX/Linux and POSIX programming, Git, automated testing and CI/CD. * Data \& Infrastructure: Multidimensional, chunked data formats (MDIO, Zarr, SEG‑Y) with Dask/xarray; AWS (S3, EC2 GPU); containers (Docker, Kubernetes); HPC schedulers (e.g., Slurm). * Domain Expertise: Experience with seismic processing, imaging or interpretation algorithms; publications or patents in ML, HPC or geophysics are a strong advantage. * Desirable: OSDU data platforms and master data management; industrial time\-series data and OPC UA; contributions to open\-source scientific software (e.g., MDIO). * Languages: Fluent English and Portuguese * Work arrangement \& Location: Presential, based in Rio de Janeiro – RJ, with Brazilian residency and work authorization, and available for occasional travel.