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# Senior Data Scientist Engineer - SFL Scientific

- **Company:** Deloitte T.T.L.
- **Location:** Columbus, OH, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Algorithm Design, Amazon Web Services, Data Analysis, Microsoft Azure, Code Review, Python (Programming Language), Machine Learning, Software Deployment, Cloud Platform System, Pytorch, Deep Learning, Model Validation, Data Strategy, Core Data, 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-columbus-oh-usa-58887790

## About the Role

_ and model development to 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 of AI/ML algorithm development using core data science languages and frameworks (Python, PyTorch) and data analysis (NLP, time-series, CV) * 3+ years applying traditional ML and deep learning techniques (CNNs, RNNs, GANs) in production * 3+ years deploying ML models with Kubernetes, Docker, TensorRT/Trion, RAPIDs, Kubeflow, MLflow * 3+ years leveraging cloud environments (AWS, Azure, or GCP) to deploy AI/ML workloads * Live within commuting distance to a Deloitte consulting office and willing to travel ~10% Key requirements *

## Description

Experteer Overview As a Senior Data Scientist at SFL Scientific, part of Deloitte's Strategy & Transactions, you define data strategy and drive the development of AI tools and services for clients. You collaborate with interdisciplinary teams to solve complex R&D problems, from cancer detection to autonomous systems, shaping next-generation AI solutions. You'll lead AI strategy, validate models, and ensure production-ready deployments that deliver measurable business impact. This role offers exposure to high-impact projects within a trusted consulting environment. Compensation / Benefits * Guide clients with autonomous AI strategy and development, from exploration to production deployment * Lead initiatives to deliver AI/ML solutions, with long-term maintenance and strategic objectives * Research and implement novel ML approaches, optimizing training, architectures, and hardware * Validate models through code reviews, unit and integration tests * Support prioritization of performance and model development to 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 of AI/ML algorithm development using core data science languages and frameworks (Python, PyTorch) and data analysis (NLP, time-series, CV) * 3+ years applying traditional ML and deep learning techniques (CNNs, RNNs, GANs) in production * 3+ years deploying ML models with Kubernetes, Docker, TensorRT/Trion, RAPIDs, Kubeflow, MLflow * 3+ years leveraging cloud environments (AWS, Azure, or GCP) to deploy AI/ML workloads * Live within commuting distance to a Deloitte consulting office and willing to travel ~10% Key requirements *


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