Join Leidos as a Graph Data Scientist in Reston, VA

The Office of Technology at Leidos is seeking a Graph Data Scientist to join our innovative team in our Reston, VA office. This is your chance to be a part of a forward-thinking group committed to harnessing the power of AI and data to solve complex challenges.

Role Overview

As a Graph Data Scientist, you will be instrumental in developing and implementing advanced AI solutions. You will leverage your expertise in data science, machine learning, and artificial intelligence to drive our AI initiatives forward.

Key Responsibilities

• Develop and implement cutting-edge AI solutions to address detailed data challenges.
• Utilize strong data science, machine learning, and AI skills for innovative solutions.
• Collaborate with cross-functional teams to translate business needs into AI solutions.
• Research and stay current with advancements in AI technology and techniques.
• Create and maintain AI models, algorithms, and datasets.
• Analyze complex data sets to identify patterns and trends.
• Work closely with data engineers to ensure proper data collection, storage, and processing.
• Develop and maintain documentation and best practices for AI development.
• Communicate findings and recommendations effectively with stakeholders.
• Monitor and improve AI models' performance and accuracy continuously.
• Collaborate with business leaders to identify valuable AI applications.
• Contribute to the development of AI strategy and roadmap.
• Adhere to data privacy and security standards in all AI activities.

Basic Qualifications

• Bachelor's degree with 4+ years of relevant experience or a Master's degree with 2+ years of relevant experience.
• Ability to obtain a Secret clearance.
• Strong understanding of machine learning algorithms, tools, and platforms.
• Proficient in Python.
• High intellectual curiosity and self-motivation.
• Excellent communication skills to explain technical results to non-technical audiences.
• 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

• Familiarity with graph representation learning models such as node2vec and graphSAGE.
• Practical experience with graph neural networks and associated frameworks like PyTorch-Geometric, Deep Graph Library, and Graph Nets.
• Hands-on experience with graph databases such as Neo4j, Amazon Neptune, Titan, GraphDB.

Job Details

• Original Posting Date: 2024-06-13
• Pay Range: $81,250.00 - $146,875.00 (The Leidos pay range for this job level is a guideline and not a guarantee of compensation. Additional factors include job responsibilities, education, experience, skills, internal equity, market alignment, and applicable laws.)

Company Name: Leidos

Job Title: Graph Data Scientist

If you're passionate about data and AI and want to make a positive impact, we want to hear from you! Apply today to join Leidos and become part of a team driving advanced AI solutions.