Data Science Manager - GPS
Deloitte
- Austin, TX
- Permanent
- Full-time
- 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
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
- Must be able to obtain and maintain the required clearance for this role
- Master's or Ph.D. in a relevant STEM field (Data Science, Computer Science, Engineering, Physics, Mathematics, etc.)
- 6+ years' 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.
- Strong management skills with experience managing teams and delivering complex and critical projects
- Expert in core programming languages and data science packages (Python, Keras, Tensorflow, PyTorch, Pandas, Scikit-learn, Jupyter, etc.)
- Expert in traditional ML and deep learning techniques (CNNs, RNNs, LSTMs, GANs), model tuning, and validation of developed algorithms
- Highly proficient written and verbal skills to support briefings, proposals, technical sprint plans, solution reports, progress updates, and executive presentations
- Experience with cloud deployment (AWS, Azure, GCP) preferred, such as building and scaling in AWS SageMaker or Azure ML Studio is preferred
- Live within commuting distance to one of Deloitte's consulting offices