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# Senior Data Scientist Engineer - SFL Scientific

- **Company:** Deloitte T.T.L.
- **Location:** Indianapolis, IN, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Algorithm Design, Amazon Web Services, Data Analysis, Computer Vision, Microsoft Azure, Cloud Computing, Code Review, Python (Programming Language), Machine Learning, Natural Language Processing, Software Deployment, Pytorch, Deep Learning, Data Strategy, Kubernetes, Machine Learning Operations, Docker
- **Published:** August 10, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/senior-data-scientist-engineer-sfl-scientific-indianapolis-in-usa-58887798

## About the Role

Experteer Overview As a Senior Data Scientist at SFL Scientific, you will shape data strategy, drive technical development, and build next-gen AI tools and services for clients. You'll collaborate with cross-functional teams to translate data into actionable solutions, tackling ambitious areas like cancer detection, drug discovery, and AI for health and industry. You join a fast-growing, research-minded practice focused on solving complex R&D problems and advancing predictive and generative AI. Your work helps clients transform through data science and intelligent automation. Compensation / Benefits * Guide clients with high autonomy in AI strategy and development, from discovery to production deployment * Lead client initiatives to deliver AI/ML solutions, including thought leadership and long-term strategy * Research and implement novel ML approaches, advancing training, design, and hardware optimization * Validate AI models via code reviews, tests, and performance assessment * aaa
Docker, project performance and ensure AI solutions deliver measurable business impact * Collaborate with data engineers, scientists, project managers, and business teams to align delivery with objectives Tasks * 3+ years in AI/ML algorithm development with Python, PyTorch, and data analysis (NLP, time-series, computer vision) * 3+ years applying traditional ML and deep learning (CNNs, RNNs, GANs) in production * 3+ years deploying/optimizing ML models using Kubernetes, Docker, MLflow and related tooling * 3+ years cloud experience (AWS, Azure, or GCP) for deploying AI/ML workloads * Ability to travel ~10% and reside within commuting distance to Deloitte offices * Strong communication, collaboration, and project leadership skills * Limited immigration sponsorship may be available Key requirements *

## Description

Experteer Overview As a Senior Data Scientist at SFL Scientific, you will shape data strategy, drive technical development, and build next-gen AI tools and services for clients. You'll collaborate with cross-functional teams to translate data into actionable solutions, tackling ambitious areas like cancer detection, drug discovery, and AI for health and industry. You join a fast-growing, research-minded practice focused on solving complex R&D problems and advancing predictive and generative AI. Your work helps clients transform through data science and intelligent automation. Compensation / Benefits * Guide clients with high autonomy in AI strategy and development, from discovery to production deployment * Lead client initiatives to deliver AI/ML solutions, including thought leadership and long-term strategy * Research and implement novel ML approaches, advancing training, design, and hardware optimization * Validate AI models via code reviews, tests, and performance assessment * Prioritize project performance and ensure AI solutions deliver measurable business impact * Collaborate with data engineers, scientists, project managers, and business teams to align delivery with objectives Tasks * 3+ years in AI/ML algorithm development with Python, PyTorch, and data analysis (NLP, time-series, computer vision) * 3+ years applying traditional ML and deep learning (CNNs, RNNs, GANs) in production * 3+ years deploying/optimizing ML models using Kubernetes, Docker, MLflow and related tooling * 3+ years cloud experience (AWS, Azure, or GCP) for deploying AI/ML workloads * Ability to travel ~10% and reside within commuting distance to Deloitte offices * Strong communication, collaboration, and project leadership skills * Limited immigration sponsorship may be available Key requirements *


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