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Sr. Data Scientist

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Deloitte

Holliston, Massachusetts, US

3 days ago
full-time
No degree mentioned

Job highlights

Qualification

5+ years of experience in AI/ML algorithm development and data analysis (e.g., NLP, time-series analysis, computer vision). 3+ years of experience in programming and data science tools (Python, Keras, TensorFlow, PyTorch, Pandas, Scikit-learn, Jupyter, etc.). 3+ years of experience in deployment and optimization (e.g., Kubernetes, Docker, NVIDIA TensorRT/Triton, RAPIDs, Kubeflow, MLflow). Ability to obtain and maintain a government security clearance. Must be legally authorized to work in the U.S. without employer sponsorship. Willingness to travel up to 5%

Responsibility

As a Senior Data Scientist, you will work directly with federal clients to define strategies, drive technical development, and create cutting-edge AI tools and services. Your work will encompass advanced methodologies, including:. AI & Machine Learning Development: Utilize GANs, CNNs, RNNs, LSTMs, BERT, and other models to solve complex problems. Thought Leadership: Produce whitepapers, presentations, reports, and executive briefings to support AI solutions. Client Strategy: Guide federal clients on AI strategy and development, perform exploratory data analysis, build and validate models, and deploy models in both on-premise and cloud environments. Technical Leadership: Lead efforts in scalable data systems, repeatable processes, and best practices for new AI methodologies. Collaboration: Work cross-functionally with scientists, data engineers, federal account managers, and leadership to ensure project delivery success

Job Description

Description

About the Role Do you want to build your brand by working for a leading consulting firm that drives eminence in the marketplace? Are you interested in leveraging your analytical skills and strategic ideas to improve mission execution? If so, Deloitte could be the place for you! Our Government and Public Services (GPS) Strategy and Analytics team brings deep industry expertise, rigorous analytical capabilities, and a pragmatic mindset to solve our client's most complex business challenges. Join us to design our clients' roadmap to the future and transform the public sector marketplace. Work You'll Do As a Senior Data Scientist, you will work directly with federal clients to define strategies, drive technical development, and create cutting-edge AI tools and services. Your work will encompass advanced methodologies, including: • AI & Machine Learning Development: Utilize GANs, CNNs, RNNs, LSTMs, BERT, and other models to solve complex problems. • Thought Leadership: Produce whitepapers, presentations, reports, and executive briefings to support AI solutions. • Client Strategy: Guide federal clients on AI strategy and development, perform exploratory data analysis, build and validate models, and deploy models in both on-premise and cloud environments. • Technical Leadership: Lead efforts in scalable data systems, repeatable processes, and best practices for new AI methodologies. • Collaboration: Work cross-functionally with scientists, data engineers, federal account managers, and leadership to ensure project delivery success. About the Team SFL Scientific, a Deloitte business, is a U.S.-based data science consulting firm specializing in machine learning and AI technologies. The team works on complex, high-impact AI systems leveraging data streams from advanced aerospace, defense, intelligence, and energy systems within the Government & Public Services (GPS) sector. Qualifications Required: • Master’s or Ph.D. in a STEM field preferred, with expertise in Artificial Intelligence and engineering technologies. • 5+ years of experience in AI/ML algorithm development and data analysis (e.g., NLP, time-series analysis, computer vision). • 3+ years of experience in programming and data science tools (Python, Keras, TensorFlow, PyTorch, Pandas, Scikit-learn, Jupyter, etc.). • 3+ years of experience in deployment and optimization (e.g., Kubernetes, Docker, NVIDIA TensorRT/Triton, RAPIDs, Kubeflow, MLflow). • Ability to obtain and maintain a government security clearance. • Must be legally authorized to work in the U.S. without employer sponsorship. • Willingness to travel up to 5%. Preferred: • 3+ years of experience in cloud deployment (AWS, Azure, GCP), including scaling solutions in AWS SageMaker. • Strong problem-solving and troubleshooting skills. • Experience coaching or mentoring junior staff. Additional Information For applicants requiring accommodations, please visit: Deloitte Assistance for Disabled Applicants.