Description

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 hands-on Senior Data Scientist to join our team within a dynamic setting located in the Bethesda, Maryland area. As a Senior Data Scientist, you will play a critical role in shaping our client's enterprise architecture and driving cloud and data-related initiatives across the client’s organization. Your responsibilities will span multiple areas, including strategic planning, cross-domain services, data security, data compliance, data integrity, AI, and cloud platforms, to enhance our customer’s cloud and data ecosystem.

Primary Responsibilities:

• Enterprise Architecture: Contribute to the design and evolution of our client’s enterprise cloud and data architecture, ensuring interoperability, security, and alignment with business goals.

• Strategic Thinking: Develop data and cloud strategies that consider long-term implications, anticipating future needs and trends.

• Collaboration: Collaborate with teams across different domains (e.g., CIO, CDO, Security) to drive data integration initiatives and foster a data-driven culture.

• Data Security and Compliance: Analyze current and recommend data security practices, including data transiting between differing security level enclaves, to ensure compliance with relevant regulations.

• Data Integrity: Analyze current and recommend data structure, tagging, and quality standards, and means to discover and address anomalies in data/data patterns.

• Multi-Cloud Environment: Recommend solutions to analyze data across multiple cloud platforms (e.g., AWS, Azure, Google Cloud) for optimizing storage, compute, and analytics.

• AI Integration: Recommend ways to leverage AI and machine learning techniques to extract insights, automate processes, and enhance decision-making.

• New Data Sources from AI: Explore data generated by AI models and recommend ways to manage and integrate them into our client’s data ecosystem.

• Data Tagging and Taxonomy: Analyze current and recommend data tagging standards, enabling efficient data discovery and governance.

• Data Mesh: Champion the data mesh paradigm, promoting decentralized data ownership and self-serve analytics.

• API Brokers: Collaborate with the client’s service providers for identity, credentialling, and access management to establish/enhance and manage data access permissions.

• Compute and Storage Optimization: Analyze and recommend ways to optimize compute resources and storage solutions for efficient data processing.

• Qualitative Computing: Recommend methods to integrate qualitative insights by understanding the context and nuances of the data.

Required Qualifications:

• TS/SCI with CI Poly

• Typically requires BS degree and 12 – 15 years of prior relevant experience or Masters with 10 – 13 years of prior relevant experience to operate within the scope contemplated by the level; additional years of experience can be considered in lieu of degree. May possess a Doctorate in technical domain.

• Proven experience as a Data Scientist, with a focus on complex data environments

• Experience with data visualization tools/software (e.g., Tableau, MS PowerBI) to develop and deliver data analysis solutions and visualizations in support of client’s needs and reporting requirements

• Strong proficiency in data manipulation and analysis.

• Communication skills for technical writing and oral briefings

• Familiarity with cloud platforms (AWS, Azure, GCP, etc.) and big data technologies

• Excellent communication skills, with the ability to translate technical insights into actionable recommendations

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

Desired Qualifications/Experience:

• Master’s or Ph.D. in a relevant field (e.g., Computer Science, Statistics, Data Science)

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

Original Posting Date:

2024-07-08

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:

Pay Range $122,200.00 - $220,900.00

The Leidos pay range for this job level is a general guideline onlyand 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.

REQNUMBER: R-00138937

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. Leidos will consider qualified applicants with criminal histories for employment in accordance with relevant Laws. Leidos is an equal opportunity employer/disability/vet.