Data Science Technical Lead - TS/SCI Clearance Required

Arlington/Rosslyn, Virginia, United States

Deloitte

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Data Science Technical Lead - TS/SCI Clearance Required

Data Analytics | Data Management, Maintenance and Operations

Arlington/Rosslyn, Virginia, United States

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 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 with cloud and data engineering experience, you will be responsible for maintaining cloud environments that enable model deployment across a cloud infrastructure that houses sensitive data and models that support mission critical operations. You will work closely and collaborate with a dynamic cross-functional team crafting data pipelines for model development and data warehousing supported by cloud infrastructure.

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 AI & Data Engineering (AI&DE) 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 deliver 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 in Computer Science, Engineering, Mathematics, or similar
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
  • Must have an Active TS/SCI or above government security clearance 
  • 4+ years of experience programming in Python or R
  • 4+ years of experience programmatically interacting with cloud (e.g.: Amazon Web Service (AWS)) services and products
  • 4+ years of experience with  in computer science, data science, machine learning
  • 4+ years of experience leading teams to design technical solutions to solve client problems
Preferred:
  • Deep knowledge of security best practices, experience with cloud security tools, and working with role and attribute based security models 
  • Knowledge of DevSecOps and MLOPs
  • Experience presenting to clients or other decision makers to present and sell ideas to various audiences (technical and non-technical)

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


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. Our purpose
Deloitte’s purpose is to make an impact that matters for our clients, our people, and in our communities. We are creating trust and confidence in a more equitable society. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. We are focusing our collective efforts to advance sustainability, equity, and trust that come to life through our core commitments. Learn more about Deloitte's purpose, commitments, and impact. 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.

As used in this posting, "Deloitte" means Deloitte Consulting LLP, a subsidiary of Deloitte LLP. Please see www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries.

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.

Requisition code: 208319

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Leadership Jobs

Tags: AWS Computer Science Consulting Data Analytics Data management Data pipelines Data visualization Data Warehousing Engineering ETL Machine Learning Mathematics ML models MLOps Model deployment Pipelines Python R Robotics Security Statistics

Perks/benefits: Career development

Region: North America
Country: United States

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