Position Summary

In this age of disruption, organizations need to navigate the future with confidence by tapping into the power of data analytics, robotics, and cognitive technologies such as Artificial Intelligence (AI). Our Strategy & Analytics portfolio helps clients leverage rigorous analytical capabilities and a pragmatic mindset to solve the most complex of problems. By joining our team, you will play a key role in helping to our clients uncover hidden relationships from vast troves of data and transforming the Government and Public Services marketplace.

Work You’ll Do

As a Data Science Technical Lead and Subject Matter Expert, you will play a pivotal role in driving the success of our client’s data science products and projects. We are seeking a highly skilled AI/ML SME to join our team. The ideal candidate will possess a strong background in translating mission problems into technical solutions, with a focus on automation and AI/ML. This role requires hands-on experience with designing and implementing analytics and AI/ML models, leveraging IC ITE (including IC-GovCloud) and C2E (C2S) services and infrastructure, and engaging with various stakeholders to ensure solutions are ethical, legal, compliant, and transparent.

Responsibilities:

Technical Solution Development:

• Translate mission problems into implementable technical solutions involving automation and AI/ML.

• Programmatically connect to IC APIs and data repositories, retrieve data using digital identity credentials, and develop analytics supporting the full lifecycle of the intelligence process.

Technical Project Management:

• Shepherd analytic solutions from proof-of-concept to development to production, including familiarity with federal government and IC IT system accreditation processes and milestones.

AI/ML Model Integration:

• Identify AI/ML modeling opportunities in existing and/or in-development data software applications.

• Integrate AI/ML models into operational software applications within a software-centric development environment (SDLC).

Model Evaluation and Tuning:

• Evaluate AI/ML models using metrics beyond accuracy and precision/recall.

• Tune model performance based on customer-defined feedback and define custom metrics to assess model performance.

• Develop, train, and evaluate neural NLP and time series models on mission data.

Stakeholder Engagement:

• Engage with governance, legal, and policy offices to ensure analytic and AI/ML solutions are ethical, legal, compliant, and transparent.

• Present complex technical results in plain language to C-Suite executives and conduct AI/ML code reviews with technical team members.

Team Collaboration and Development:

• Identify common technical requirements across multi-functional teams to guide the creation and definition of functional SOPs.

• Reduce inefficiencies, promote knowledge capture and exchange, and cultivate team member professional development.

The Team 

Deloitte’s Government and Public Services (GPS) practice – our people, ideas, technology and outcomes—is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of over 15,000+ professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

The GPS Analytics and Cognitive (A&C) offering is responsible for developing advanced analytics products and applying data visualization and statistical programming tools to enterprise data in order to advance and enable the key mission outcomes for our clients. Our team supports all phases of analytic work product development, from the identification of key business questions through data collection and ETL, and from performing analyses and using a wide range of statistical, machine learning, and applied mathematical techniques to delivery insights to decision-makers. Our practitioners give special attention to the interplay between data and the business processes that produce it and the decision-makers that consume insights.

Qualifications Required: 

Bachelor’s degree requiredMust be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the futureActive TS/SCI security clearance required 4+ years of experience in Data Science, preferably in a management capacity4+ years of experience developing AI/ML solutions with IC ITE and C2E (C2S) services and infrastructure4+ years of experience with AI/ML model integration within software development lifecycles; expertise in evaluating and tuning AI/ML models based on various performance metricsAbility to work on-site a minimum of 3 days/week in Washington DC area

Preferred:

Hands-on experience in a software-centric development environment (SDLC) for AI/ML model integrationProficiency in programmatically connecting to IC APIs and data repositories, retrieving data, and developing analyticsHands-on experience with fine-grain access controls for data analyticsExperience in shepherding analytic solutions through various stages from proof-of-concept to productionExperience tuning model performance based on customer feedback and defining custom performance metricsAbility to work in a dynamic and fluid client environment, transitioning between technical and non-technical communications.Experience in identifying technical requirements across multi-functional teams to guide SOP creation and promote professional developmentExperience developing, training, and evaluating neural NLP and time series models on mission dataStrong engagement skills with governance, legal, and policy offices

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

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