Are you ready to join Leidos all-star team? Through training, teamwork, and exposure to challenging technical work, let Leidos show how to accelerate your career path.
 

Are you a Principal Data Scientist with an active TS Clearance that likes to perform cutting edge data analytics? Would you like to support a major program advancing the state of the art in national security mission-focused detection of adversarial AI/ML models and techniques? If so, you will have the opportunity to delivering advanced data science capabilities to push forward national security objectives, swiftly produce and analyze results, lead AI/ML topic modeling, tagging, and training in a data processing pipeline, disseminate findings, and contribute to collaborative research presentations with actionable intelligence insights. The successful candidate will lead projects to design, develop, and deploy data science and machine learning capabilities and products.  Our team supports both research and development projects as well as mission critical applications and the work includes applying machine learning libraries such as SciKit Learn, Keras, TensorFlow, or PyTorch to develop and train ML models.   While most work is conducted on-site at our client location in Bethesda, MD, we offer a flexible schedule and, occasionally, some tasks may be performed remotely. Percentage of remote work will vary based on client requirements/ deliverables priorities.

Fun stuff on the job you will do: 

• Work closely with a tight-knit team of data scientists, as well as a larger team of software developers, network engineers, senior investigators, program managers, researchers, and data analysts to design, build, and optimize a Data Science platform to produce and analyze results, disseminate findings, and contribute to publications and presentations.  
• Work on small projects analyzing a variety of big data covering national security, cyber security, business intelligence, online social media, human behavior and more.   
• Support multiple simultaneous projects and take open-ended or high-level guidance, independently and collaboratively make discoveries that are mission-relevant, and package and deliver the findings to a non-technical audience. 
• Bring your mix of intellectual curiosity, quantitative acumen, and customer-focus to identify novel sources of data across a range of fields, to improve the performance of predictive algorithms, and to encourage user adoption of high-end data analytics platforms in partnership with a highly qualified, highly motivated team.   
• Leverage your strong background in research design, exploratory analysis, quantitative methods, user interface application design, and experience with customer outreach and engagement.   

To be successful in this role you need the following (required qualifications): 

• B.S. Degree and 25 years of prior experience or Masters with 20 years of prior relevant experience in a quantitative or analytical field such as Computer Science, Mathematics, Economics, Statistics, Engineering, Physics, or Computational Social Science; or master’s degree or equivalent graduate degree including certificate-based advanced training courses.
• 10+ years of experience in data science, analytics, or quantitative intelligence analysis, and demonstrating progressive technical development and outcomes.
• 5+ years as Principal Investigator leading development of Media Forensics and Anti-Forensics modeling and platform efforts for national security focused R&D programs
• Must have an active TS clearance and must be able to achieve a TS/SCI clearance with polygraph.
• Proficiency in one or more scripting languages such as R or Python. Proficiency in containerized microservices deployed in a Kubernetes environment that uses Kafka as a messaging queue, and CI/CD orchestration.
• Experience working with a hybrid team of analyst, engineers, and developers to conduct research, and build and deploy complex, but easy-to-use algorithms and analytical platforms.
• Previous experience performing research and development in data analytics or big data. 
• Track record of active learning and creative problem solving.
• Ability to analyze and assess software development or data acquisition requirements and determine optimum, cost-effective solutions.

You will wow us even more if you have some of these skills: 

• A significant share of your data analytics experience in direct support of military or intelligence community customers, demonstrating progressive technical development and mission-focused outcomes.
• Significant experience dealing with at least two of the following data classes: open source, publicly available information (PAI); forensic media (i.e., DOMEX); measurement and signatures intelligence (MASINT); or cybersecurity and cyber forensics
• Significant experience with knowledge graphs and related technology such as neo4j.
• Significant experience with databases such as SQL, NoSQL, and specifically Elasticsearch.
• Experience blending analytical methodologies and leveraging existing COTS/GOTS/FOSS tools in an unconventional manner. 
• Familiarity utilizing containerization and container orchestration technology and approaches such as Docker and Kubernetes in development and deployment environments. 
• Familiarity using git, dvc, mlflow, and other version control technologies. 
• Experience with Amazon Web Services (AWS/C2S).
• Familiarity with optimizing machine learning software to take advantage of GPUs.
• Experience creating dashboards and prototype web applications with technologies such as Kibana, Apache Superset, Streamlit, Gradio, Plotly Dash, etc.
• Experience writing REST and gRPC APIs in technologies such as FastAPI, Flask, etc.

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.