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
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
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.)
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, GCP, Azure)
Familiarity with Scala, Java, C++, or other similar technological support languages
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
At Deloitte, our professional development plan focuses on helping people at every level of their career to identify and use their strengths to do their best work every day. From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to help sharpen skills in addition to hands-on experience in the global, fast-changing business world. From on-the-job learning experiences to formal development programs at Deloitte University, our professionals have a variety of opportunities to continue to grow throughout their career. At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits.Our positive and supportive culture encourages our people to do their best work every day. We celebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices that can help them to be healthy, centered, confident, and aware. We offer well-being programs and are continuously looking for new ways to maintain a culture where our people excel and lead healthy, happy lives. Deloitte is led by a purpose: to make an impact that matters. This purpose... defines who we are and extends to relationships with our clients, our people and our communities. We believe that business has the power to inspire and transform. We focus on education, giving, skill-based volunteerism, and leadership to help drive positive social impact in our communities. We want job seekers exploring opportunities at Deloitte to feel prepared and confident. To help you with your interview, we suggest that you do your research: know some background about the organization and the business area you’re applying to.