Data Scientist

Looking for a rewarding career challenge?

Unleash your potential at Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customer’s success. We empower our teams, contribute to our communities, and operate sustainably. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community. Our Mission, Vision, and Values guide the way we do business. With Leidos, you will enjoy competitive benefits such as Paid Time Off, Flexible Schedules, Discounted Stock Purchase Plans, Education and Training Support, Parental Paid Leave, and more!

If this sounds like an environment where you can thrive, keep reading!

Are you ready to join an incredible team? This contract is critical to the government and allows team members to work independently and in a team environment to achieve success. If you are passionate, motivated, and want to be part of an organization that values your contributions, we want to hear from you. Apply today!

Your greatest work is ahead!

Job Description: Leidos is seeking an experienced architecture savvy Cloud Engineer / Data Scientist to join our dynamic team. You will play a critical role in shaping our client's enterprise architecture, driving core to edge cloud and data-related initiatives across the client’s organization. You will be responsible for:

• Architecture and Integration Planning: Propose methods & tools, and create related deliverables for integrating, and adopting community architecture solutions.

• Current State Assessments: Capture, review and assess current state architecture for cloud infrastructure services & capabilities and provide analytical assessments with a proposed way forward for future vision and strategy documents.

• Multiple Cloud Strategy: Establish and implement mechanisms that provide for a multiple cloud architecture strategy.

• Hybrid Multi-cloud Edge Solutions: Provide prescriptive guidance on defining the minimum viable products (MVP) for regional and edge cloud architectures.

• Long-Term Thinking: Develop and execute data strategies that consider long-term implications, anticipating future needs and trends.

• AI Integration: Explore AI and machine learning techniques within a diverse cloud environment and analyze its impacts on architecture. Explore emerging data sources generated by AI models and propose how they may integrate into a cloud data ecosystem.

The successful candidate must be capable of working in a team environment to:

• Provide cloud "Core to Edge" implementation plans and best practices.

• Provide Edge MVP launch plan documents.

• Provide knowledge transfer regarding edge architecture design and strategy.

• Assist Customer with identifying solutions for unique edge requirements.

• Assist Customer with conducting edge requirements assessment. 

• Assist Customer with gathering details on current state edge solutions to include architecture resiliency.

• Assist Customer with application stack edge knowledge.

• Provide general recommendations on maturing future state architecture and edge capabilities.

• Champion a data mesh paradigm.

Required Qualifications:

• TS/SCI with CI Poly

• Masters with 10 – 13 years of prior relevant experience or Ph.D. in a relevant field (e.g., Computer Science, Statistics, Data Science) or BS degree and 12 – 15 years of prior relevant experience.

• Communication skills for technical writing and oral briefings and executive level presentation

• Familiarity with cloud platforms and technologies.

• Passion for staying up to date with industry trends and advancements.

Desired Qualifications/Experience:

• Familiarity with Data Tagging and Taxonomy; API Brokers; Compute and Storage Optimization; and Qualitative Computing.

• Five or more years of experience working with or in the Intelligence Community (IC).

• Knowledge of and experience working with IC policies, directives, and standards.

• Experience with data visualization tools/software (e.g., Tableau, MS PowerBI) to develop and deliver analysis solutions and visualizations.

If you’re passionate about cloud architecture and driving data excellence to shape the future of our client’s enterprise we’d love to hear from you!

Original Posting Date:

While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.