Tech Lead - Data Scientist

Rosslyn, Virginia, United States

Deloitte

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Tech Lead - Data Scientist

Data Analytics | Data Management, Maintenance and Operations

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 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 Technical Lead for a Data Science Application, you will be the technical leader responsible for designing, developing, and deploying secure, maintainable, and productionizable capabilities in the form of executable functions (e.g., Lambdas, Step Functions, S3, AWS OpenSearch, etc.) across AWS cloud infrastructure that houses sensitive data and models that support mission critical operations. You will lead a development team of 5-8 in their day-to-day technical assignments and lead the technical product vision. To that end, you will work with cross-functional teams to identify relevant and permissible data sources, access available infrastructure, and to develop analytic products tailored to mission user requirements. Strong communication and interpersonal skills are critical in your ability to collaborate with your technical colleagues and building rapport with the customer.

Responsibilities:

  • Develop technical architecture that support development approach
  • Forecast and outline technical tasks that guide weekly development in support of technical projects.
  • Partner with a government product owner and collaborate with a Data Science Team of 5-8 FTEs.
  • Work with Product Manager and product teams, solution architects, and DevSecOps engineers to strategize system design and system implementation for high availability, performance, and resiliency.
  • Works with development team to implement, tune, and troubleshoot infrastructure components of the applications (e.g., AWS services, network, OS, PKI).
  • Designs and implements containerization resources using IaC (e.g., Terraform).
  • Designs and implements common services and configurations (e.g., logging, SSO, VM Images) using IaC (e.g., Terraform).
  • Designs and implements automated system management and monitoring capabilities that support resiliency and self-healing.

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 Operations 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.

Required Qualifications:

  • Active Top Secret security clearance required. (or Active TS w/SCI Eligibility).
  • Ability and willingness to work on-site in Washington, DC 3 days a week
  • Bachelor’s degree + 4 years’ practical experience OR Associates degree + 6 years’ practical experience OR Master’s degree + 2 years’ practical experience OR 8 years’ practical experience. Significant experience leading a team to develop an application on AWS platforms, from MVP to production deployment.
  • 4 years of experience leading the use of Infrastructure-as-Code tools (e.g., Ansible, Terraform, AWS CloudFormation, Azure ARM Templates).
  • 4 years of experience working in Government-owned secure networks (e.g., NIPR, SIPR, A-LAN, C-LAN)
  • 4 years hands-on experience developing software in Python (or similar)
  • Significant experience conducting regular code, configuration, and architecture reviews to ensure technical quality and adherence to best practices.
  • Experience developing, training, and evaluating AI/ML models
  • Some experience implementing and/or operating application containerization.
  • Some experience with centralized log configuration and monitoring tools.
  • Some experience configuring Role-Based Access Control (RBAC)
  • Understanding of PKI and certificate management.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred Qualifications:

  • 2 years’ experience building and maintaining systems within AWS.
  • Experience incorporating AI / ML models and analytics into cloud products.
  • Experience shepherding prototypes from POC to production
  • 2 years’ experience maintaining systems through automated means (e.g., IaC, scripting).
  • 1 years’ experience with Infrastructure-as-Code tools (e.g., Ansible, Terraform, AWS CloudFormation, Azure ARM Templates).
  • 1 year leading a team of developers to develop MVPs and POCs.
  • Experience working with AWS Top-Secret Cloud (i.e., C2S/C2E).
  • Experience with event-based systems and/or asynchronous message queue infrastructure.
  • Experience with multiple data solutions (e.g., AWS OpenSearch, NoSQL/Document, Indexed Search)
  • Experience working in a Scrum based task / team structure (i.e. SAFe Agile 6.0)
  • Familiarity and experience with the Intelligence Community (IC), and the intel cycle.
  • Familiarity and experience with the Department of Homeland Security (DHS).

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: 202303

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

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Tags: Agile Ansible Architecture AWS Azure CloudFormation Consulting Data Analytics Data management DataOps Data visualization ETL Machine Learning ML models MVP NoSQL OpenSearch Python Robotics Scrum Security Statistics Step Functions Terraform

Perks/benefits: Career development

Region: North America
Country: United States

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