Graph Data Scientist

The Office Of Technology at Leidos currently has an opening for a Graph Data Scientist to work for our Reston/VA office. This is an exciting opportunity to join our team of innovative and forward-thinking professionals.  As a Graph Data Scientist, you will play a critical role in developing and implementing cutting-edge AI solutions to solve complex data challenges. We are looking for someone with a strong background in data science, machine learning, and artificial intelligence, who can bring their expertise and creativity to drive our AI capabilities to the next level. If you are passionate about using data and AI to make a positive impact, then we want to hear from you!

Primary Responsibilities.

• Develop and implement advanced AI solutions to address complex data challenges.
• Utilize strong data science, machine learning, and artificial intelligence skills to drive innovative solutions.
• Collaborate with cross-functional teams to understand business needs and translate them into AI solutions.
• Research and stay up-to-date on the latest advancements in AI technology and techniques.
• Create and maintain AI models, algorithms, and data sets.
• Analyze and interpret complex data sets to identify patterns and trends.
• Work closely with data engineers to ensure data is properly collected, stored, and processed for AI applications.
• Develop and maintain documentation and best practices for AI development and implementation. Communicate effectively with stakeholders to present findings and recommendations.
• Continuously monitor and improve AI models' performance and accuracy.
• Collaborate with business leaders to identify areas where AI can drive value and make a positive impact.
• Contribute to the development of AI strategy and roadmap for the organization.
• Stay informed about industry trends and developments in AI to identify opportunities for innovation.
• Adhere to data privacy and security standards in all AI development and implementation activities.

Basic Qualifications.

• BS and 4+ years of prior relevant experience or Masters with 2+ years of prior relevant experience.
• Ability to get clearance: Secret
• Good understanding of machine learning algorithms, tools and platforms
• Python proficiency
• Self-starter with high intellectual curiosity
• Great communication skills, able to explain language model results to a non-technical audience
• Proficient in data exploration techniques and tools
• Demonstrated understanding of graph theory and network analysis fundamentals.
• Experience with graph libraries such as networkx, igraph, SNAP, etc

Preferred Qualifications.

• Familiar with graph representation learning models such as node2vec, graphSAGE,
• Practical experience with graph neural networks and associated frameworks e.g. pytorch-geometric, deep graph library, graph nets, spectral, etc.
• Hands on experience with one or more graph databases such as Neo4j, Amazon Neptune, Titan, GraphDB

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.