Data Scientist - Senior

Leidos•Reston, VA

19h•$107,900 - $195,050•Onsite

About The Position

The National Security Sector at Leidos currently has an opening for a Senior Data Scientist. Are you a Senior Data Scientist that likes to perform cutting edge data analytics? Would you like to support a major program advancing the state of the art in mission-focused big data analytics and predictive analytics? If so, you will be delivering advanced data science capabilities to push forward national security objectives, swiftly produce and analyze results, disseminate findings, and contribute to presentations with actionable intelligence insights. The successful candidate will work on projects to design, develop, and deploy data science and machine learning capabilities and products to support DIA/NDOC OSINT production on behalf of the Defense Intelligence Enterprise (DIE). This position will be located at one of our customer sites in Bethesda, MD; Reston, VA; or Joint Base Anacostia-Bolling, DC. Are you ready for your next career challenge? Join a team committed to a Mission!

Requirements

Bachelor’s degree in Computer Science, Data Science, Engineering, Information Systems, or related technical discipline.
Minimum 8 years of experience in the field with at least a portion of the experience within the last 2 years.
Active TS/SCI clearance with the ability to obtain and maintain TS/SCI with Polygraph.
Proficiency in one or more scripting languages such as R or Python.
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.

Nice To Haves

Master’s degree in Computer Science, Data Science, Engineering, Information Systems, or related technical discipline.
Or, as a substitute to the Master’s degreeBachelor’s degree in Computer Science, Data Science, Engineering, Information Systems, or related technical discipline and 5 years of related senior experience, for a total of 17 years.
Minimum 12 years of experience in the field with at least a portion of the experience within the last 2 years.
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.
Current or recent SCI-level access is a significant advantage and preferred.
Successful polygraph within the last 5 years is a significant advantage and preferred.

Responsibilities

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 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.
Provide data preprocessing, quality checks, data integration, and visualization creation
Develop dashboards with tools like Tableau or Power BI and apply AI/ML modules to unstructured data analysis.