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The Multi-Domain Solutions Division within Nation Security Sector at Leidos currently has an opening for a Data Scientist to work in our Reston, VA or Alexandria, VA office.Ability to work in Northern Virginia is preferred. Candidate working from remote locations will also be considered but must willing and able to attend meetings on site.Primary Responsibilities:• Responsible for leading the development of collaboration tools that enable enhanced communication, documentation and knowledge management• Development, deployment and sustainment of program dashboards that provide status and program execution (e.g., risk management, design management) in addition to the deployed network metrics (e.g., Service Level Agreements [SLAs], network status, network configuration)• Interface with the ABMS performers and facilitate data integration Program Management Dashboards, Systems Engineering and Development Dashboards, Network Operations DashboardsBasic Qualifications:• Bachelors degree with 12-15 years of prior relevant experience or Masters with 10+ years of prior relevant experience.• Demonstrated ability to use and integrate database and data visualization tools.• Demonstrated ability to deploy dashboard capabilities to diverse environments, platforms, and operating systems: Windows or Linux, Infrastructure as-a-Service (IaaS) or PaaS, and at any classification level.• Strong written and verbal communication skills to collaborate with customer representatives, domain experts, and other systems engineers in the development of complex DoD systems.• Demonstrated ability to participate in cross-functional planning, coordination, and task execution situations involving the full spectrum of system integration activities.Clearance Required:• Must possess a minimum of a Secret clearance with the ability to obtain and maintain a TS/SCI clearancePreferred Qualifications:• Experience as a SQL Server DBA• Experience with Leidos Performance Management (LPM)• Experience with OneSight• Experience with Service Now• Experience with Microsoft SharePoint• Experience with PowerBI• Experience with SplunkOriginal Posting Date:2024-08-23While 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:Pay Range $101,400.00 - $183,300.00The 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.
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$101400K
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What You Should Know About Data Scientist, Leidos

Join the Multi-Domain Solutions Division at Leidos as a Data Scientist in our Alexandria, AL office, where innovation and collaboration come together to enhance national security. In this exciting role, you'll lead the development of advanced collaboration tools that enhance communication, documentation, and knowledge management. You'll be a key player in creating and maintaining program dashboards that monitor project status, risk management, and service-level agreements across various environments. Your expertise in data integration and visualization will shine as you interface with ABMS performers, navigated complex tasks alongside systems engineers, and contribute to diverse operational capacities. To thrive in this role, you'll bring a Bachelor’s degree with 12-15 years of experience or a Master’s with 10+ years. A solid understanding of database integration and a passion for problem-solving are a must. Your communication skills will enable you to collaborate effectively with various stakeholders, driving insights from data to deliver results. While remote work can be an option, being able to attend onsite meetings is essential. If you're ready to take on critical challenges in a fast-paced environment while making a significant impact, the role of Data Scientist at Leidos is calling your name!

Frequently Asked Questions (FAQs) for Data Scientist Role at Leidos
What are the responsibilities of a Data Scientist at Leidos?

As a Data Scientist at Leidos, you'll lead the development of collaboration tools to enhance communication and knowledge management while overseeing program dashboards that track various execution metrics, including risk management and service levels. You'll ensure effective data integration and coordination amongst ABMS performers and take part in cross-functional activities involving system integrations.

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What qualifications do I need to become a Data Scientist at Leidos?

Leidos requires a Data Scientist to have at least a Bachelor’s degree with 12-15 years of relevant experience or a Master’s with 10+ years. Experience in using database and data visualization tools, as well as strong written and verbal communication skills, are critical for success in this role.

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Is security clearance required for the Data Scientist position at Leidos?

Yes, for the Data Scientist role at Leidos, it is necessary to possess a minimum of Secret clearance, with the ability to obtain and maintain a TS/SCI clearance. Security clearance is a standard requirement for positions involving sensitive information in the defense sector.

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What tools and technologies should a Data Scientist at Leidos be familiar with?

A Data Scientist at Leidos should have familiarity with various tools such as SQL Server, PowerBI, Splunk, Microsoft SharePoint, and Service Now. Experience in deploying dashboard capabilities across various platforms (Windows, Linux) is highly desired.

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Can I work remotely as a Data Scientist at Leidos?

While Leidos is open to considering remote candidates for the Data Scientist position, being able and willing to attend onsite meetings is essential for effective collaboration with team members and stakeholders.

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Common Interview Questions for Data Scientist
How would you approach the development of collaboration tools for enhanced communication?

Begin by understanding the needs of the stakeholders involved, and then focus on integrating user-friendly features that streamline communication and documentation. Demonstrate your experience with past projects where your collaboration tools led to measurable improvement in team alignment or project success.

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Can you explain a successful project where you used data visualization tools?

Highlight a project where you used a specific tool, like PowerBI or Splunk, to create dashboards that provided valuable insights. Discuss the data you visualized, the impact it had on decision-making, and any feedback received from users. Emphasize your problem-solving and analytical abilities.

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What are the key factors to consider when integrating data from various sources?

Discuss the importance of understanding data types, compatibility, and consistency across sources. Emphasize the need for strong data governance policies, mapping out data flows, and utilizing effective ETL processes to ensure high-quality data integration.

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Describe your experience in risk management and how it relates to data science.

Talk about your experience in identifying potential risks within projects, quantifying them, and designing dashboards that effectively communicated these risks to stakeholders. Mention specific methodologies or tools you've used to manage risks based on data-driven insights.

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How do you ensure effective communication with team members and stakeholders?

Illustrate your communication strategies, such as regular updates, collaborative tools, and engaging presentations. Share examples of how you've tailored your communication style to suit different audiences, ensuring clarity and understanding.

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What experience do you have with agile project management methodologies?

Share insights on your familiarity with agile principles, your role in past agile projects, and how you've contributed to iterative development processes. Discuss how your adaptability has benefited project outcomes.

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How do you stay updated with the latest industry trends and technologies in data science?

Explain your commitment to continuous learning by attending seminars, pursuing certifications, or participating in professional associations. Mention how you apply new insights or technologies to your work.

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Explain a challenging technical problem you solved using data science.

Describe the problem in detail, the methods and tools you applied to analyze the data, and the solution you implemented. Highlight the impact of that solution on your project or organization.

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What strategies do you implement for cross-functional collaboration?

Share examples showcasing how you promote collaboration across departments, including regular check-ins, knowledge-sharing sessions, and the use of collaborative platforms. Highlight outcomes from these efforts.

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What are your key considerations when deploying dashboard capabilities?

Discuss the importance of user experience, data relevance, and ensuring adaptability for different platforms. Provide examples of how these considerations shaped previous dashboard implementations.

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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. At Leidos, our mission is to make the world safer, healthier, and mor...

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Full-time, hybrid
DATE POSTED
December 7, 2024

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