Job Description:
Do you have a passion for artificial intelligence, machine learning, and data analysis? Do you yearn to have the impact of your work recognized and valued by more than just your development team?
If yes, we have just the role for you.
In Deloitte’s Audit and Assurance business, we make businesses and markets better. An audit is more than an obligation; it is an opportunity to see further and deeper into businesses. In our role as independent auditors, we enhance trust in the companies we audit, helping a multitrillion dollar capital markets system function with greater confidence. As we aspire to the very highest standards of audit quality, we deliver deeper insights that can help clients become more effective organizations.
You will be joining our collaborative Data Science team which leverages the most advanced technologies in machine learning and artificial intelligence to achieve the Deloitte Audit and Assurance vision of an AI-enabled audit. Some of our current projects focus on generative AI, prompt engineering, LLMs, anomaly detection, clustering, and knowledge graphs.
As a Data Science Senior Manager, you will shape and lead the strategic direction of our data science group by designing and driving the vision and roadmap for critical AI projects and workstreams. You will collaborate closely with product leaders and subject matter experts to define long term vision and goals of use cases. You will guide Data Science teams including managers, seniors, and staff to ensure solutions match the business goals and objectives to develop and deploy production-level, global AI solutions.
Specifically, you will be expected to:
• Design and drive critical components of the Data Science group’s strategy, including the vision for each project/workstream, as well as the release roadmap
• Define project goals and OKRs, and hold teams accountable to achieving them
• Lead the application of rigorous data science within your workstreams, managing and supervising junior resources through the entire data science development and deployment lifecycle.
• Collaborate with subject matter experts to obtain a deep understanding of the underlying business problem, and to define and refine the corresponding technical solution
• Stay up to date with the latest trends, techniques, and advancements in data science and identify opportunities for their application
• Actively mentor Data Science managers, seniors, and juniors on good software practices
• Design and organize project/workstream structure and staffing allocations
• Drive cross-project-team collaboration and enablement
• Regularly present results and updates to senior leadership
• Guide the design of POCs among project teams
• Lead and own the process of removing blockers within the development process
Qualifications
Required:
• 10+ years of relevant industry experience leading the design, development, and deployment of machine learning models
• Experience being the technical lead for multiple project teams simultaneously
• Expert understanding of the state of the art of two or more fields in artificial intelligence; NLP and generative AI, probabilistic graphical models, time-series analysis, weak supervised learning, etc.
• Understanding of LLMs, prompt engineering, and use of evals in development and validation
• Ability to plan out and design data science roadmaps that will drive the future path of AI services and the data science group
• Ability to reliably estimate work needed to accomplish goal within experimentation and production development phases
• Previous experience mentoring, training, and developing junior members of the team; experience in employee performance reviews
• Expert understanding of Python and other common languages
• Demonstrated ability to lead the design and implementation of AI solutions with a focus on maintainability and scalability through the entire development life cycle.
• Extensive experience using common machine learning and deep learning frameworks such as TensorFlow, PyTorch, OpenAI, and LangChain
• Extensive experience with at least one cloud-based ecosystem (Azure, GCP, AWS)
• Experience in an Agile working environment and at least one related project management tool (Azure DevOps, Jira, etc.)
• Demonstrated ability to write high-quality, production-ready code (readable, well-tested, well-documented, with well-designed APIs)
• Demonstrated ability to develop novel machine learning methods that go beyond putting together existing open-source code, and to apply problem-solving skills to complex issues
• Solid understanding of Docker, Jenkins, Kubernetes, and other DevOps tools
• Excellent written and verbal communication skills
• Ability to travel as needed (<25%)
Preferred:
• Master’s Degree or PhD in a quantitative field (computer science, engineering, mathematics, physics, machine learning, statistics)
• Prior scientific publication history. Outstanding academic track record as evidenced by top tier publications.
• Strong project management and delivery experience, including budget oversight and staffing of project teams including time management
• Extensive experience with Microsoft Azure, including certification in machine learning
• Experience with machine learning pipelines (Azure ML/Databricks)
• Experience with ML Ops and related governance processes, particularly within a regulated industry
• Strong presentation skills using Microsoft Office suite (Visio, PowerPoint, etc.)
• Understanding of the capital markets, and the role public accounting firms play
Our purpose
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Benefits to help you thrive
At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you.
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