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# Senior Data Scientist Engineer - SFL Scientific

- **Company:** Deloitte T.T.L.
- **Location:** McLean, VA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Algorithm Design, Amazon Web Services, Data Analysis, Computer Vision, Microsoft Azure, Code Review, Python (Programming Language), Machine Learning, Natural Language Processing, Network Planning and Design, Pytorch, Deep Learning, Data Strategy, 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-mclean-va-usa-58887785

## About the Role

Experteer Overview As a Senior Data Scientist at SFL Scientific, you will shape data strategy, drive technical development, and help build next-gen AI tools and services. You'll work with clients to understand data landscapes, requirements, and define long-term solutions through exploratory analysis and design. Collaborating with a cross-functional team, you'll tackle advanced domains like cancer detection, drug discovery, and autonomous systems while expanding your skills in a consulting context. This role offers meaningful impact by advancing AI initiatives across multiple industries. Compensation / Benefits * Guide clients in AI strategy and development, performing exploratory data analysis and deploying models * Lead client initiatives to deliver AI/ML solutions with long-term maintenance and strategic objectives * Research and implement novel ML approaches, including training, network design, and hardware optimization * Validate AI models via code reviews, unit and integration a
with * Support prioritization of project performance and ensure impactful AI delivery * Collaborate with data engineers, scientists, project managers, and business teams to align delivery with objectives Tasks * Master's or PhD in a STEM field * 3+ years in AI/ML algorithm development with Python, PyTorch, NLP/time-series/computer vision * 3+ years applying traditional ML and deep learning techniques (CNNs, RNNs, GANs) in production * 3+ years deploying/optimizing ML models using Kubernetes, Docker, TensorRT/Trion, RAPIDs, Kubeflow, MLflow * 3+ years leveraging AWS, Azure, or GCP to deploy AI/ML workloads * Willingness to travel up to 10% * Live within commuting distance to a Deloitte office Key requirements *

## Description

Experteer Overview As a Senior Data Scientist at SFL Scientific, you will shape data strategy, drive technical development, and help build next-gen AI tools and services. You'll work with clients to understand data landscapes, requirements, and define long-term solutions through exploratory analysis and design. Collaborating with a cross-functional team, you'll tackle advanced domains like cancer detection, drug discovery, and autonomous systems while expanding your skills in a consulting context. This role offers meaningful impact by advancing AI initiatives across multiple industries. Compensation / Benefits * Guide clients in AI strategy and development, performing exploratory data analysis and deploying models * Lead client initiatives to deliver AI/ML solutions with long-term maintenance and strategic objectives * Research and implement novel ML approaches, including training, network design, and hardware optimization * Validate AI models via code reviews, unit and integration tests * Support prioritization of project performance and ensure impactful AI delivery * Collaborate with data engineers, scientists, project managers, and business teams to align delivery with objectives Tasks * Master's or PhD in a STEM field * 3+ years in AI/ML algorithm development with Python, PyTorch, NLP/time-series/computer vision * 3+ years applying traditional ML and deep learning techniques (CNNs, RNNs, GANs) in production * 3+ years deploying/optimizing ML models using Kubernetes, Docker, TensorRT/Trion, RAPIDs, Kubeflow, MLflow * 3+ years leveraging AWS, Azure, or GCP to deploy AI/ML workloads * Willingness to travel up to 10% * Live within commuting distance to a Deloitte office Key requirements *


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