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# Senior Data Scientist Engineer - SFL Scientific

- **Company:** Deloitte T.T.L.
- **Location:** Denver, CO, 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, Software Deployment, Pytorch, Deep Learning, Data Strategy, Kubernetes, Machine Learning Operations, TensorRT, Docker
- **Published:** August 10, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/senior-data-scientist-engineer-sfl-scientific-denver-co-usa-58887796

## About the Role

into checks * Support prioritization of project performance and ensure AI solutions maximize business impact * Collaborate with data engineers, scientists, project managers, and business teams to align delivery with business objectives Tasks * Master's or PhD in a relevant STEM field * 3+ years in AI/ML algorithm development using Python, PyTorch, etc. * 3+ years applying traditional ML and deep learning (CNNs, RNNs, GANs) in real-world projects * 3+ years deploying and optimizing ML models with Kubernetes, Docker, TensorRT/Trion, RAPIDs, Kubeflow, MLflow * 3+ years cloud experience (AWS, Azure, or GCP) for AI/ML workloads * Willingness to travel ~10% and reside within commuting distance to Deloitte offices Key requirements *

## Description

Experteer Overview As a Senior Data Scientist at SFL Scientific, you shape data strategy and the development of AI products for clients. You will collaborate with cross-functional teams to translate data into actionable solutions, from exploratory analysis to production deployment. You tackle high-impact AI projects across health, autonomy, and consumer domains, expanding our data science and AI capabilities within a consulting context. This role offers exposure to cutting-edge research applications and client-facing leadership opportunities. Compensation / Benefits * Guide clients in AI strategy and development, performing exploratory data analysis, building and validating models, and deploying models to production * Lead client initiatives to deliver AI/ML solutions, including long-term maintenance and strategy objectives * Research and implement novel ML approaches, advancing training, design, networks, and hardware optimization * Validate AI models via code reviews, tests, and quality checks * Support prioritization of project performance and ensure AI solutions maximize business impact * Collaborate with data engineers, scientists, project managers, and business teams to align delivery with business objectives Tasks * Master's or PhD in a relevant STEM field * 3+ years in AI/ML algorithm development using Python, PyTorch, etc. * 3+ years applying traditional ML and deep learning (CNNs, RNNs, GANs) in real-world projects * 3+ years deploying and optimizing ML models with Kubernetes, Docker, TensorRT/Trion, RAPIDs, Kubeflow, MLflow * 3+ years cloud experience (AWS, Azure, or GCP) for AI/ML workloads * Willingness to travel ~10% and reside within commuting distance to Deloitte offices Key requirements *


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