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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
- Bachelors 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, 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
Recruiting tips
From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte.
Check out recruiting tips from Deloitte recruiters.
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.
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.