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Job Summary:
Deloitte is a leading professional services firm that helps clients navigate their most critical moments and transformational initiatives. The Data Science Manager at SFL Scientific will lead a team to design, develop, and deploy AI solutions across various industries, ensuring the technical direction and successful delivery of client engagements.
Responsibilities:
• Develop and manage a team of developers to deliver novel solutions in the AI and GenAI domains.
• 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.
• Provide leadership for our comprehensive data science and AI initiatives, developing and executing strategies that deliver measurable business and scientific outcomes.
• Support identification of high-value AI opportunities that drive industry advantage, representing an organization's AI vision through strategic delivery and industry.
• Serve as the technical lead on projects to drive the technical strategy, roadmap, and prototyping of AI/ML solutions to meet each clients' unique requirements.
• Engage and guide a diverse set of 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 comprehensive AI initiatives spanning predictive and generative AI, overseeing development of advanced models and ensuring systems are scalable, efficient, and adhere to requirements and AI guidelines.
• Support an interdisciplinary team of data scientists, engineers, and solution architects to achieve technical delivery objectives and real-world performance for production and research applications.
• Lead in the research and adoption of industry best practices for validation and deployment of models; support best delivery practices, code review, UAT, unit, and integration tests.
• Present to key stakeholders, including solution findings and options for potential deployment infrastructure, hardware, software, cloud, etc.
• Mentor, motivate, and coach junior data scientists on technical best practices and inspire professional development.
• Develop key skillsets and delivery experience to grow into leadership or non-technical management and business roles.
Qualifications:
Required:
• 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, PyTorch, Pandas, Scikit-learn, Docker, Kubernetes, 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
Preferred:
• Experience with cloud deployment (AWS, Azure, GCP), such as building and scaling in AWS SageMaker or Azure ML Studio
• Experience with developing and testing GenAI solutions
• Experience in a client-facing role or internal AI product development role
• Highly proficient written and verbal skills to support briefings, proposals, technical sprint plans, solution reports, progress updates, and executive presentations
Company:
Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services. Founded in 1845, the company is headquartered in London, GBR, with a team of 10001+ employees. The company is currently Late Stage.