Deep Learning Data Science Manager – SFL Scientific in Atlanta, GA
Job title: Deep Learning Data Science Manager – SFL Scientific in Atlanta, GA at Deloitte
Company: Deloitte
Job description: Position SummaryDeep Learning Data Science Manager - SFL ScientificSFL Scientific, a Deloitte Business practice brings together several key capabilities to architect integrated programs that transform our clients' businesses, including Strategic Growth Transformation, Transformation Strategy & Design, Technology Strategy & Business Transformation, and AI & Data Strategy.Professionals will serve as trusted advisors to our clients, working with them to make clear data-driven choices about where to play and how to win - ultimately driving growth and enterprise value.We are hiring a Data Science Manager to support the technical design, development, and deployment of novel AI solutions across healthcare, life sciences, manufacturing, energy, and other sectors.Recruiting for this role ends on 5/31/2025.Work You'll DoAs a Data Science Manager at SFL Scientific, a Deloitte Business, you'll manage a team of developers across project execution and R&D efforts. You will be responsible for the technical direction of client engagements while defining the project strategy, communicating complex concepts to both technical and non-technical audiences, and leading solution development to solve our clients' use cases.Successful candidates will be an expert in using state-of the-art technologies such as computer vision, natural language processing (NLP), time-series analysis, graph neural networks, and other AI/ML subdomains to solve complex business problems across applications as diverse as healthcare, medical imaging, autonomous systems, and embedded & edge-AI. Join us to expand your technical career through the lens of professional services and consulting and help create novel solutions to advance your data science & AI career.
Expected salary:
Location: Atlanta, GA
Job date: Thu, 01 May 2025 22:15:32 GMT
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Company: Deloitte
Job description: Position SummaryDeep Learning Data Science Manager - SFL ScientificSFL Scientific, a Deloitte Business practice brings together several key capabilities to architect integrated programs that transform our clients' businesses, including Strategic Growth Transformation, Transformation Strategy & Design, Technology Strategy & Business Transformation, and AI & Data Strategy.Professionals will serve as trusted advisors to our clients, working with them to make clear data-driven choices about where to play and how to win - ultimately driving growth and enterprise value.We are hiring a Data Science Manager to support the technical design, development, and deployment of novel AI solutions across healthcare, life sciences, manufacturing, energy, and other sectors.Recruiting for this role ends on 5/31/2025.Work You'll DoAs a Data Science Manager at SFL Scientific, a Deloitte Business, you'll manage a team of developers across project execution and R&D efforts. You will be responsible for the technical direction of client engagements while defining the project strategy, communicating complex concepts to both technical and non-technical audiences, and leading solution development to solve our clients' use cases.Successful candidates will be an expert in using state-of the-art technologies such as computer vision, natural language processing (NLP), time-series analysis, graph neural networks, and other AI/ML subdomains to solve complex business problems across applications as diverse as healthcare, medical imaging, autonomous systems, and embedded & edge-AI. Join us to expand your technical career through the lens of professional services and consulting and help create novel solutions to advance your data science & AI career.
- Serve as the technical lead on projects to drive the technical strategy, roadmap, and prototyping of AI/ML solutions in order to meet each clients' unique requirements
- Engage and guide clients with high autonomy in AI strategy and adoption, including understanding organizational needs, performing exploratory data analysis (EDA), building and validating models, and deploying models into production
- Lead for an interdisciplinary team of data scientists, engineers, and solution architects to achieve technical delivery objectives and real-world performance
- Lead in the research and adoption of industry best practices for validation of models; support best delivery practices, including validation, code review, unit, and integration tests
- Present to key stakeholders, including dataset findings and solution infrastructure, hardware, software, cloud, and deployment, etc.
- Mentor, motivate and coach junior data scientists on technical best practices and inspire professional development
- Master's or PhD degree in a relevant STEM field (Data Science, Computer Science, Engineering, Mathematics, Physics, etc.)
- 6+ years of experience working in data science, data engineering, software engineering, or MLOps
- 6+ years of experience in AI/ML algorithm development workflow and data analysis in the major data modalities from NLP, time-series analysis, computer vision, to graph models
- 6+ years of experience in core programming languages and data science packages (Python, Keras, Tensorflow, PyTorch, Pandas, Scikit-learn, Jupyter, etc.)
- 6+ years of experience with traditional ML and deep learning techniques (CNNs, RNNs, LSTMs, GANs), model tuning, and validation of developed algorithms
- 4+ years of experience managing teams and delivering complex and critical projects
- Live within commuting distance to one of Deloitte's consulting offices
- Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
- Limited immigration sponsorship may be available
- Experience with cloud deployment (AWS, Azure, GCP), such as building and scaling in AWS SageMaker or Azure ML Studio
- Excellent verbal and written communication skills and experience in a client-facing or team management role is preferred
- Highly proficient written and verbal skills to support briefings, proposals, technical sprint plans, solution reports, progress updates, and executive presentations
Expected salary:
Location: Atlanta, GA
Job date: Thu, 01 May 2025 22:15:32 GMT
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