Senior Data Scientist Engineer - SFL Scientific

Deloitte T.T.L.
Philadelphia, PA, United States
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Working hours
Regular working hours

Tech stack

Artificial Intelligence Algorithm Design Amazon Web Services Data Analysis Computer Vision Microsoft Azure Code Review Python (Programming Language) Machine Learning Natural Language Processing Cloud Platform System Pytorch
+8 more
Deep Learning Model Validation Data Strategy Integration Tests Kubernetes Machine Learning Operations TensorRT Docker

Job description

Experteer Overview As a Senior Data Scientist at SFL Scientific (a Deloitte Business), you define data strategy and drive the development of AI tools and services. You collaborate with clients to understand data and operational needs, conducting exploratory analyses and designing long-term solutions. You work with a cross-functional team on cutting-edge projects across healthcare, autonomous systems, and consumer AI innovations. This role blends consulting with hands-on data science to deliver impactful, production-ready AI solutions. You will lead initiatives, shape AI strategy, and contribute to a growing data science practice. Compensation / Benefits * Guide clients in AI strategy and development, performing EDA, building and validating models, and deploying into production * Lead client initiatives to deliver AI/ML solutions with long-term maintenance and strategic objectives * Research and implement novel ML approaches, advancing training, design, and hardware optimization * Validate models through code reviews, unit and integration tests * Prioritize project performance and model development to maximize 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) with production validation * 3+ years deploying ML models using 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 * Ability to travel ~10% as required by client work Key requirements *

Requirements

Experteer Overview As a Senior Data Scientist at SFL Scientific (a Deloitte Business), you define data strategy and drive the development of AI tools and services. You collaborate with clients to understand data and operational needs, conducting exploratory analyses and designing long-term solutions. You work with a cross-functional team on cutting-edge projects across healthcare, autonomous systems, and consumer AI innovations. This role blends consulting with hands-on data science to deliver impactful, production-ready AI solutions. You will lead initiatives, shape AI strategy, and contribute to a growing data science practice. Compensation / Benefits * Guide clients in AI strategy and development, performing EDA, building and validating models, and deploying into production * Lead client initiatives to deliver AI/ML solutions with long-term maintenance and strategic objectives * Research and implement novel ML approaches, advancing training, design, and hardware optimization * aaa GANs) models through code reviews, unit and integration tests * Prioritize project performance and model development to maximize 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) with production validation * 3+ years deploying ML models using 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 * Ability to travel ~10% as required by client work Key requirements *

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