Data Science Architect Manager

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Deloitte
Architect, Manager, Artificial Intelligence, Computer, Algorithms, Analysis, Python, SQL, SAS, Engineering, NLP, Apache, Java, C, User Interface, Supply Chain, IT, PowerPoint
Full Time

Job Description

Data Science Architect/Manager-Artificial Intelligence

Limited immigration sponsorship may be available.

Work you'll do

At Deloitte you will manage and deliver components of client engagements that identify, design, and implement technology and creative business solutions for large companies. Key responsibilities will include:
  • Architect, position, design, develop and deploy enterprise solutions which include components across the Artificial Intelligence spectrum such as Chatbots, Virtual Assistants, Machine Learning, Computer Vision and Cognitive Services
  • Manage teams in the identification of business requirements, functional design, process design (including scenario design, flow mapping), prototyping, testing, training, defining support procedures
  • Formulate planning, budgeting, forecasting, and reporting strategies
  • Manage full life cycle implementations
  • Develop statements of work and/or client proposals
  • Identify business opportunities to increase usability and profitability of information architecture
  • Experience with program leadership, governance and change enablement
  • Develop and manage vendor relationships
  • Lead workshops for client education
  • Manage resources and budget on client projects
  • Assist and drive the team by providing oversight

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 work experience
  • 2+ years of experience leading and managing project teams
  • At least 2 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)
  • 2+ 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
  • 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.)

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
  • Demonstrated expertise in at least one of the following: machine learning, deep learning, time-series modeling, propensity and prediction, behavioral nudges, recommenders, anomaly detection, segmentation, AI architecture, AI interface design
  • Formal training in one or many of the following: signal processing, optimization, machine learning, linear algebra
  • Expertise in at least one functional application preferred (e.g., prediction models, behavioral analytics, etc.)
  • 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, Google Cloud Platform, Azure)
  • Familiarity with Scala, Java, C++, or other similar technological support languages
  • Javascript experience at User Interface (UI) level
  • Expertise in 2+ domains preferred (e.g., Customer & Marketing, Finance, M&A, Operations, Pricing, Risk, Supply Chain, Workforce, etc.). Example of expertise includes:
    • Supply Chain: Knowledge of operations, manufacturing, quality, or operations strategy for pharmaceutical, biotechnology and medical device organizations
    • Payments: Experience with use cases such as fraud detection, cashier-less stores, hyper-personalized credit scores, enhanced customer service, etc.
    • Customer: Experience with use cases such as reduce customer churn, accurately price products / services, increase up-sell / cross-sell, reduce service center call times, etc.
    • HR: Experience with use cases such as improve workforce / role matching, workforce optimization, increase learning effectiveness, align total rewards by employee type, etc.
    • IT: Experience with use cases such as optimize infrastructure use, optimize system / application performance, reduce IT security breaches, etc.
    • Risk: Experience with use cases such as improve safety/standards compliance, improve fraud detection, improve regulatory compliance
    • Operations: Experience with use cases such as eliminate underperforming SKUs, optimize fleet size and logistics, optimize inventory management
  • Strong experience running pursuits
  • Ability to communicate complex quantitative analysis in a concise and actionable manner
  • Ability to work independently, manage small engagements or parts of large engagements
  • Strong oral and written communication skills, including presentation skills (MS Visio, MS PowerPoint) (US Practitioners)
  • Strong problem solving and troubleshooting skills with the ability to exercise mature judgement
  • An advanced degree in the area of specialization is preferred

ANCAAI


Company Information

Deloitte provides industry-leading audit, consulting, tax and advisory services to many of the world’s most admired brands, including nearly 90% of the Fortune 500® and more than 7,000 private companies. Our people come together for the greater good and work across the industry sectors that drive and shape today’s marketplace—delivering measurable and lasting results that help reinforce public trust in our capital markets, inspire clients to see challenges as opportunities to transform and thrive, and help lead the way toward a stronger economy and a healthier society. Deloitte is proud to be part of the largest global professional services network serving our clients in the markets that are most important to them. Now celebrating 175 years of service, our network of member firms spans more than 150 countries and territories. Learn how Deloitte’s more than 330,000 people worldwide connect for impact on our website.

Dice Id : 10106525
Position Id : 62495
Originally Posted : 6 months ago

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