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# Senior Data Scientist Engineer - SFL Scientific

- **Company:** Deloitte T.T.L.
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Algorithm Design, Amazon Web Services, Microsoft Azure, Code Review, Python (Programming Language), Machine Learning, Network Planning and Design, Software Deployment, Google Cloud, Cloud Platform System, 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-new-york-ny-usa-58887806

## About the Role

Experteer Overview As a Senior Data Scientist at SFL Scientific (a Deloitte business), you will shape data strategy and build AI-enabled solutions for clients. You collaborate with cross-functional teams to design, validate, and deploy models, advancing state-of-the-art AI while delivering hands-on impact in healthcare, autonomy, and consumer product AI. You contribute to a growing data-science practice and help translate research into practical, scalable tools. This role blends consulting with cutting-edge AI research to drive measurable business outcomes. Compensation / Benefits * Guide clients in AI strategy and development, from exploratory analysis to production deployment * Lead client initiatives delivering AI/ML solutions and define long-term maintenance and objectives * Research and implement novel ML approaches, including training, network design, and hardware optimization * Validate AI models via code reviews, unit and integration tests * Prioritize project performance and
ensure AI solutions maximize business impact * Collaborate with data engineers, data scientists, project managers, and business teams to align with objectives Tasks * Master's or PhD in a relevant STEM field * 3+ years of AI/ML algorithm development experience (Python, PyTorch; NLP, time-series, CV) * 3+ years applying traditional ML and deep learning techniques (CNNs, RNNs, GANs) in production * 3+ years deploying ML models using Kubernetes, Docker, TensorRT/Trion, RAPIDs, Kubeflow, MLflow * 3+ years leveraging cloud environments (AWS, Azure, GCP) for AI/ML workloads * Ability to travel up to 10% and reside near a Deloitte office * Live within commuting distance to a Deloitte consulting office Key requirements *

## Description

Experteer Overview As a Senior Data Scientist at SFL Scientific (a Deloitte business), you will shape data strategy and build AI-enabled solutions for clients. You collaborate with cross-functional teams to design, validate, and deploy models, advancing state-of-the-art AI while delivering hands-on impact in healthcare, autonomy, and consumer product AI. You contribute to a growing data-science practice and help translate research into practical, scalable tools. This role blends consulting with cutting-edge AI research to drive measurable business outcomes. Compensation / Benefits * Guide clients in AI strategy and development, from exploratory analysis to production deployment * Lead client initiatives delivering AI/ML solutions and define long-term maintenance and objectives * Research and implement novel ML approaches, including training, network design, and hardware optimization * Validate AI models via code reviews, unit and integration tests * Prioritize project performance and ensure AI solutions maximize business impact * Collaborate with data engineers, data scientists, project managers, and business teams to align with objectives Tasks * Master's or PhD in a relevant STEM field * 3+ years of AI/ML algorithm development experience (Python, PyTorch; NLP, time-series, CV) * 3+ years applying traditional ML and deep learning techniques (CNNs, RNNs, GANs) in production * 3+ years deploying ML models using Kubernetes, Docker, TensorRT/Trion, RAPIDs, Kubeflow, MLflow * 3+ years leveraging cloud environments (AWS, Azure, GCP) for AI/ML workloads * Ability to travel up to 10% and reside near a Deloitte office * Live within commuting distance to a Deloitte consulting office Key requirements *


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