Data Science Manager- Applied Artificial Intelligence

Position Summary

Data Science, Manager – Applied Artificial Intelligence

Limited immigration sponsorship may be available.

Work you’ll do

AI Senior Consultants will Architect, Position, Design, Develop and Deploy enterprise solutions which include components across the Artificial Intelligence spectrum such as Chatbots, Virtual Assistants, Machine Learning, and Cognitive Services (e.g. Vision/Image, Textual/Language processing).

Perform data studies and data discovery routines for video, voice, weblog, sensor, machine and social media data sources or mash ups of new and existing data sources.

The Team

Analytics & Cognitive

In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment.

The Analytics & Cognitive team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets.

Analytics & Cognitive will work with our clients to:

• Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms
• Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions
• Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements

Qualifications:

• 6+ years of relevant Analytics consulting or industry experience
• At least 3 years of experience working with quantitative modeling (design, development & implementation) using 3+ types of algorithm (e.g., Decision Trees, Naive Bayes Classification, Ordinary Least Squares Regression, Logistic Regression, Support Vector Machines, Ensemble Methods, Clustering Algorithms, Principal Component Analysis, Singular Value Decomposition, Independent Component Analysis)
• 3+ years of experience using statistical computer languages (Python, SQL, R, SAS, etc.) to prepare data for analysis, visualize data as part of exploratory analysis, generate features, and other similar data science driven data handling
• 2+ years of experience leading workstreams or small teams
• Demonstrated expertise with one full life cycle analytics engagement across strategy, design and implementation.
• Bachelor's Degree in Engineering, Mathematics, Empirical Statistics or 4 years equivalent professional experience
• Travel up to 50% of the time (Monday – Thursday/Friday). (While 50% of travel is a requirement of the role, due to COVID-19, non-essential travel has been suspended until further notice.)
• Limited immigration sponsorship may be available.

Preferred:

• Experience architecting, designing, developing and deploying enterprise solutions which include components across the Artificial Intelligence spectrum such as NLP, Chatbots, Virtual Assistants, Computer Vision, and Cognitive Services
• Expertise in Python machine and deep learning frameworks and libraries, e.g. PyTorch, Keras, Tensorflow, Scikit-learn, Numpy, SciPy
• Experience designing and implementing Apache Open Source (Kafka, Storm, Spark) frameworks to process end to end data management life cycle
• Experience with Cloud services and ML tools e.g. (AWS, GCP, Azure)
• Familiarity with Scala, Java, C++, or other similar technological support languages
• Javascript experience at User Interface (UI) level
• Ability to work independently and manage multiple task assignments.
• Strong oral and written communication skills, including presentation skills (MS Visio, MS PowerPoint).
• Strong problem solving and troubleshooting skills with the ability to exercise mature judgment.
• An advanced degree in the area of specialization

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Benefits

At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you.

Our people and culture

Our diverse, equitable, and inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our client most complex challenges. This makes Deloitte one of the most rewarding places to work. Learn more about our inclusive culture.

Professional development

From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.

As used in this posting, "Deloitte" means Deloitte Consulting LLP, a subsidiary of Deloitte LLP. Please see www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries.

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.

Deloitte will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws. See notices of various ban-the-box laws where available.

Requisition code: 78717