Data Scientist
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Tech stack
+50 more
Job description
Research Advocacy Big Data Refining Journals Equities Visionary Pipelines Operations Leadership Innovation Algorithms TensorFlow Market Data Data Science Presentations Apache Hadoop Deep Learning Remote Sensing Image Analysis Microsoft Azure Computer Vision Ancient History Machine Learning Satellite Imagery Influencing Skills Thought Leadership Workflow Management Amazon Web Services Geospatial Analysis Emerging Technologies ArcGIS (GIS Software) Reinforcement Learning Artificial Intelligence Geospatial Intelligence R (Programming Language) Google Cloud Platform (GCP) Interpersonal Communications Spatial Data Infrastructures Python (Programming Language) Influencing Without Authority Keras (Neural Network Library) PyTorch (Machine Learning Library) Geospatial Data Abstraction Library (GDAL) Top Secret-Sensitive Compartmented Information (TS/SCI Clearance), * Lead the strategic direction for the development and deployment of innovative data science and AI solutions with the customer mission space, and advocate for advanced techniques in machine learning, computer vision, and deep learning.
- Champion the application of emerging technologies, such as AI, reinforcement learning, computer vision, and geospatial AI, to drive mission success. Develop and refine state-of-the-art models to solve highly complex geospatial intelligence problems.
- Stay ahead of industry trends, emerging tools, and new methods in data science, AI, and geospatial intelligence. Publish research, deliver keynote presentations, and contribute to academic and industry forums to establish Leidos and the customer as leaders in the field.
- Serve as a senior advisor to customer leadership, collaborating with senior analysts, engineers, and subject matter experts to ensure the alignment of technical capabilities with mission requirements. Translate high-level mission needs into actionable data science strategies.
- Lead and mentor cross-functional teams, helping develop the next generation of data scientist with the organization. Provide thought leadership and guidance to junior and mid-level scientists to foster innovation and professional growth.
- Oversee the design and development of complex AI/ML models and algorithms, particularly for geospatial data, including satellite imagery, remote sensing data, and spatial data analysis.
- Drive the transformation of the customer’s geospatial intelligence workflows by recommending cutting-edge solutions and technologies. Ensure that analytical products provide actionable intelligence for decision-makers at the highest levels of government.
- Represent Leidos and the customer at key industry conferences, briefings, and working groups. Evangelize the potential of data science and AI to transform intelligence operations and national security., Power BI Equities Leadership Statistics Mathematics Data Mining Market Data Data Science Communication Deep Learning Ancient History Computer Science Machine Learning Cyber Operations Anomaly Detection Advanced Analytics Data Visualization Workflow Management Operations Research Time Off Management Advanced Mathematics Technical Requirements Artificial Intelligence C (Programming Language) C++ (Programming Language) Python (Programming Language) Tableau (Business Intelligence Software) Top Secret-Sensitive Compartmented Information (TS/SCI Clearance) +0 Data Scientist Leidos
McLean, VA*On-Site
Plotly Seaborn Teamwork Equities Automation Purchasing Statistics Upskilling TensorFlow Probability Market Data Data Science Cryptography Web Scraping Key Management Data Extraction Ancient History Computer Science Machine Learning Network Analysis Entrepreneurship Data Architecture Unstructured Data Analytical Method Data Visualization Amazon Web Services Predictive Modeling NLTK (NLP Analysis) Time Off Management Security Engineering Relational Databases Signals Intelligence SpaCy (NLP Software) Unsupervised Learning Database Search Engine SQL (Programming Language) Matplotlib (Python Package) Computer Network Operations Hugging Face (NLP Framework) Python (Programming Language) Natural Language Processing (NLP) Application Programming Interface (API)
Requirements
Active Top Secret/SCI with the ability to successfully pass a Polygraph examination., * US citizenship is required per contract.
- Master’s degree in Data Science, Artificial Intelligence, Geospatial Science or related field and 15-20 years of prior relevant experience or Doctorate with 13-16 years of prior relevant experience.
- 12+ years of experience in data science, AI, and GEOINT.
- Extensive experience in leading high-profile data science and AI projects, particularly within the Intelligence Community (IC).
- Proven expertise in machine learning, deep learning, geospatial analytics, and AI/ML model development.
- Demonstrated experience in leading innovation in both technical and strategic capacities.
- Mastery of Python, R, and data science libraries (e.g., TensorFlow, PyTorch, Keras).
- Expertise in geospatial analytics tools (e.g., GeoPandas, GDAL, ArcGIS), and familiarity with geospatial data formats (e.g., GeoTIFF, Shapefiles).
- Experience in deploying machine learning models at scale and integrating them into operational systems.
- Strong knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g., Spark, Hadoop).
- Expertise in applying computer vision and image analysis techniques to satellite imagery and geospatial datasets.
- Proven ability to shape strategy and influence senior decision-makers within the IC.
- Excellent interpersonal, communication, and presentation skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
- Strong track record of thought leadership, including publications, speaking engagements, and contributions to the broader data science and geospatial intelligence community., * Advanced certifications in AL/ML, or data science.
- Experience working directly with our customer or other members of the IC.
- Advanced knowledge of satellite-based geospatial data, remote sensing, and data analysis.
- Experience with automated model deployment, CI/CD pipelines, and model monitoring.
- Published papers in peer-reviewed journals, contributions to industry conferences, or active involvement in open-source projects.
If you’re looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We’re not hiring followers. We’re recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We’re already at step 30 - and moving faster than anyone else dares., Data Science Data Analysis Presentations Elasticsearch Self-Motivation Computer Vision Research Design Social Sciences Active Learning Ancient History Customer Service Computer Science Docker (Software) Amazon Web Services Elastic (ELK) Stack User Interface (UI) Software Development Predictive Analytics Technological Change Test Data Generation Quantitative Research Test Execution Engine Intelligence Analysis Information Retrieval Intellectual Curiosity Artificial Intelligence Creative Problem Solving Dynamic Trunking Protocol SQL (Programming Language) Git (Version Control System) Document And Media Exploitation
Benefits & conditions
Pay and benefits are fundamental to any career decision. That’s why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits .
About the company
Leidos National Security Sector combines technology-enabled services and mission software capabilities in the areas of cyber, logistics, security operations, and decision analytics to support our defense and intel customers’ mission to defend against evolving threats around the world. Our team’s focus is to ensure our customers have the right tools, technologies, and tactics to keep pace with an ever-evolving security landscape and succeed in their pursuit to protect people and critical assets.
We are seeking a Data Scientist Thought Leader for the Maru program. In this strategic, high-visibility role, you will be at the forefront of developing cutting-edge, next generation data science, AI, and geospatial analytics solutions to solve some of the nation’s most complex intelligence problems. As a thought leader, you will drive innovation, shape data science strategy, and influence the future of geospatial intelligence (GEOINT).
In this role, you will work closely with customer leaders, mission stakeholders, and advanced technical teams to define the path forward for data science applications in the intelligence community. Your expertise will guide the development of mission-critical capabilities that shape the intelligence landscape, with a focus on AI/ML, deep learning, and advanced geospatial analytics. This position requires a visionary leader who is not only technically skilled but also a strategic influencer and innovator within the field of data science., Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com .
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Good distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlistsVideos
See allRelated articles
See all
Top Big Data Technologies That You Need to Know
How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again
How to Become an AI Engineer
Dev Digest 134 - Where pixels sing?