Address
Form of workRecruiting for role will end on 4/12/2024
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
AI & Data is an integrated team of data and AI technologists working across Operate, AI, and Engineering. We serve as a trusted advisor and managed service provider bringing a mix of capability and capacity across data modernization, data ops, AI, and ML. Through our unrivaled breadth and depth of services across every major industry and domain, we help our clients run smarter, faster, and more efficiently. With Deloitte's AI & Data, our clients have the support they need to continuously develop, innovate, automate, scale, and operate in service of organizational performance and growth.
AI & Data practitioners work with our clients to:
- Design and modernize large scale data and analytics programs that promote organizational intelligence, provide embedded capacity, and implement as-a-service based subscription models at scale
- Enable day-to-day operations, maintenance and ongoing enhancements of their data platforms and applications as well as managing and governing the underlying data leveraging standardized, automated and AI enabled Data Ops capabilities
- Mature their AI and Analytics journey with fluid capacity and flexible capability of AI and Analytics experts complemented with experience hardened assets and curated data sets to experiment with AI and scale their AI and Analytics ambitions
Qualifications:
Required:
- 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
- Ability to travel up to 50%, on average, based on the work you do and the clients and industries/sectors you serve
- 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
- 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
- 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
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $144,600 to $241,000.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Qualifications:Recruiting for role will end on 4/12/2024
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
AI & Data is an integrated team of data and AI technologists working across Operate, AI, and Engineering. We serve as a trusted advisor and managed service provider bringing a mix of capability and capacity across data modernization, data ops, AI, and ML. Through our unrivaled breadth and depth of services across every major industry and domain, we help our clients run smarter, faster, and more efficiently. With Deloitte's AI & Data, our clients have the support they need to continuously develop, innovate, automate, scale, and operate in service of organizational performance and growth.
AI & Data practitioners work with our clients to:
- Design and modernize large scale data and analytics programs that promote organizational intelligence, provide embedded capacity, and implement as-a-service based subscription models at scale
- Enable day-to-day operations, maintenance and ongoing enhancements of their data platforms and applications as well as managing and governing the underlying data leveraging standardized, automated and AI enabled Data Ops capabilities
- Mature their AI and Analytics journey with fluid capacity and flexible capability of AI and Analytics experts complemented with experience hardened assets and curated data sets to experiment with AI and scale their AI and Analytics ambitions
Qualifications:
Required:
- 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
- Ability to travel up to 50%, on average, based on the work you do and the clients and industries/sectors you serve
- 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
- 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
- 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 mana...
