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# Senior Data Scientist Engineer - SFL Scientific

- **Company:** Deloitte T.T.L.
- **Location:** Austin, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Algorithm Design, Amazon Web Services, Data Analysis, Microsoft Azure, Cloud Computing, Code Review, Python (Programming Language), Machine Learning, Natural Language Processing, Pytorch, Deep Learning, Integration Tests, Kubernetes, Machine Learning Operations, TensorRT, Docker
- **Published:** August 10, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/senior-data-scientist-engineer-sfl-scientific-austin-tx-usa-58887780

## About the Role

Experteer Overview As a Senior Data Scientist with SFL Scientific, you will shape AI strategy and build production-ready ML solutions for clients within Deloitte's Strategy & Transactions ecosystem. You'll collaborate with cross-disciplinary teams to design, validate, and deploy innovative AI/ML projects-ranging from cancer detection to autonomous systems-driving measurable business impact. This role offers exposure to cutting-edge R&D, scalable AI services, and a path to leadership in a growing data science practice. Compensation / Benefits * Advise clients on AI strategy, perform exploratory data analysis, develop and deploy models into production * Lead client initiatives to deliver AI/ML solutions, providing thought leadership and long-term maintenance * Research and implement novel ML approaches, advancing training, design, and hardware optimization * Validate AI models via code reviews, unit/integration tests * Prioritize project performance and ensure AI solutions maximize a
Docker, impact * Collaborate with data engineers, scientists, project managers, and business teams to align with objectives Tasks * Master's or PhD in a relevant STEM field * 3+ years in AI/ML algorithm development with Python, PyTorch, NLP/time-series/vision * 3+ years applying traditional ML and deep learning (CNNs/RNNs/GANs) in production * 3+ years deploying/optimizing ML models with Kubernetes, Docker, TensorRT/Trion, RAPIDs, Kubeflow, MLflow * 3+ years of cloud experience (AWS/Azure/GCP) for AI/ML workloads * Ability to travel ~10% and reside within commuting distance to Deloitte offices * Live within commuting distance to Deloitte's consulting offices * Limited immigration sponsorship may be available Key requirements * discretionary annual incentive program * accommodations for disabilities * broad range of benefits * professional development opportunities * mentorship programs * inclusive culture

## Description

Experteer Overview As a Senior Data Scientist with SFL Scientific, you will shape AI strategy and build production-ready ML solutions for clients within Deloitte's Strategy & Transactions ecosystem. You'll collaborate with cross-disciplinary teams to design, validate, and deploy innovative AI/ML projects-ranging from cancer detection to autonomous systems-driving measurable business impact. This role offers exposure to cutting-edge R&D, scalable AI services, and a path to leadership in a growing data science practice. Compensation / Benefits * Advise clients on AI strategy, perform exploratory data analysis, develop and deploy models into production * Lead client initiatives to deliver AI/ML solutions, providing thought leadership and long-term maintenance * Research and implement novel ML approaches, advancing training, design, and hardware optimization * Validate AI models via code reviews, unit/integration tests * Prioritize project performance and ensure AI solutions maximize business impact * Collaborate with data engineers, scientists, project managers, and business teams to align with objectives Tasks * Master's or PhD in a relevant STEM field * 3+ years in AI/ML algorithm development with Python, PyTorch, NLP/time-series/vision * 3+ years applying traditional ML and deep learning (CNNs/RNNs/GANs) in production * 3+ years deploying/optimizing ML models with Kubernetes, Docker, TensorRT/Trion, RAPIDs, Kubeflow, MLflow * 3+ years of cloud experience (AWS/Azure/GCP) for AI/ML workloads * Ability to travel ~10% and reside within commuting distance to Deloitte offices * Live within commuting distance to Deloitte's consulting offices * Limited immigration sponsorship may be available Key requirements * discretionary annual incentive program * accommodations for disabilities * broad range of benefits * professional development opportunities * mentorship programs * inclusive culture


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