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Job Details

Master Data Scientist AI Center of Excellence

Location
Boston, MA, United States

Posted on
May 08, 2021

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Job Information
Deloitte
Master Data Scientist, AI Center of Excellence
in
Boston
Massachusetts
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. Opportunities to assist clients will span from Life sciences (genetics, new medicines development) to Cyber Security to Fraud/Waste/Abuse detection to capital markets modeling. 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.
Drive the application of rigorous data science within the AI CoE and across Deloitte
Influence machine learning strategy for a client/program/project; explore design options to assess efficiency and impact, develop approaches to improve robustness and rigor
Be a key contributor to the planning and direction of a project and effectively prioritize goals
Lead discussions at peer review and use quantitative skills to positively influence decision making
Effectively explain technical concepts at all levels in the organization, including senior leaders/stakeholders
Represent Deloitte externally to advance our reputation as the AI/ML leader in the consulting industry
Identify opportunities to apply the latest advancements in Machine Learning and Artificial Intelligence to build, test, and validate predictive models
Create algorithms to extract information from large, multiparametric data sets
Deploy your algorithms to production to identify actionable insights from large databases
Compare results from various methodologies and recommend best techniques to stakeholders
Develop and embed automated processes for predictive model validation, deployment, and implementation
Connect and collaborate with subject matter experts across multiple industries
Make impactful contributions to internal discussions on emerging machine learning methodologies
The team
This is a hands-on position where you will be empowered to be creative, ambitious, and bold; to solve novel problems and have the potential to directly impact the lives of people around the world. We have impressive toolkits and clients with world class data, and we are now looking for talented people to join our team.
Qualifications
Required:
Limited visa sponsorship may be available.
An undergraduate degree in Engineering, Statistics, Data Science, Applied Mathematics, Computer Science, Physics, Computational Biology, Computational Chemistry or related quantitative field
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)
Demonstrated ability to develop novel machine learning methods 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.
Preferred:
PhD or Master's degree
An industry specialization such as life sciences, financial services, energy, or government
A domain specialization such as Cyber Security, Fraud/Waste/Abuse, or Data Management
AI/ML publication in a peer-reviewed journal
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)
Large-scale deep learning model training
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

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