AVP, Data Science - AI Graph Expert

AVP, Data Science - AI Graph Expert

Are you interested in working in a dynamic environment that offers opportunities for professional growth and new responsibilities? If so, Deloitte & Touche LLP could be the place for you. At Deloitte, we are creating a world-class Artificial Intelligence and Machine Learning (AI/ML) Center of Excellence to enhance Deloitte's existing services and empower our clients to gain exponential value from their data. Our focus is on bringing data, analytics, and technology together with our deep expertise in multiple industries to drive new product development and significant automation/efficiencies. We are seeking to grow our team with brilliant and diverse contributors with technical ability. We are looking for machine learning experts with strong experience in Deep Learning that want to be part of a team that has an opportunity to make a significant impact.

Work you'll do

You will be responsible for leading and directing a team focused on developing cutting-edge quantitative solutions to our client's most challenging problems. You will not only provide advanced technical leadership, guiding research and applications of quantitative methods, but will also provide direct supervision, mentorship, support, guidance, oversight, and recruitment of your team. This is an exciting role that will stretch your knowledge and curiosity, offering the opportunity to deepen your skills, learn new industries, and work within a global community.

As an AI graph expert on our team you will have to research, develop and maintain graph models as well as:

• Help the AI CoE team to build and scale analytics solutions leveraging graph-based machine learning/deep learning capabilities
• Support the business teams to identify patterns and relationships between complex entities and concepts through the use machine learning on graph databases/knowledge graphs

• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future

• A degree in Engineering, Statistics, Data Science, Applied Mathematics, Computer Science, Physics, Computational Biology, Computational Chemistry or related quantitative field (Masters or PhD preferred for Senior Manager direct hires)
• Experience in creating and maintaining graph data models.
• Expertise in machine learning/deep learning-based graph algorithms relevant to link prediction, ranking/recommendation, completion, community detection, node embedding, etc.
• Expert understanding of a programming language such as Python.
• Experience with at least one Deep Learning framework such as PyTorch or TensorFlow/Keras
• Demonstrated ability to write high-quality, production-ready code (readable, well-tested, with well-designed APIs) m ethods that go beyond putting together of existing code, and to apply problem-solving skills to complex issues
• Excellent written and verbal communication skills
• Ability to work autonomously and collaboratively as part of a team to both teach and learn every day
• Continuously looking for opportunities to learn, build skills and share learning.

• PhD or Master's degree
• A domain specialization such as Cyber Security, Fraud/Waste/Abuse, or Data Management
• Proficiency in Linux environment (including shell scripting), experience with database languages (e.g., SQL, No-SQL) and experience with version control practices and tools (Git, Perforce, etc.)
• Familiarity with cloud computing services (AWS, GCP, or Azure)
• Experience with large-scale deep learning model training