LandOffer
Data Scientist
Job details
- Work mode
- On-site
- Employment
- Full-time
- Level
- Senior
- Experience
- 10+ years
- Education
- Bachelor's degree
- Posted
- Nov 2, 2026
- Last confirmed open
- Nov 3, 2026
What you'll need to apply
Fields this application requires
Company-specific questions
- Current company
- Home addressessay
- emailessay
- Have you ever been granted security clearance by a U.S. Federal Government Agency? If yes, please state the level of clearance and Granting Agency Name.essay
- EDUCATION: Please provided School Name, Dates Attended, Major, Degree Earned for all schools attended.essay
- PROFESSIONAL REFERENCES: List three professional references (other than those listed as current/former supervisor) that we may contact: Please provide Name, Relationship, Phone Number and email.essay
- PLEASE READ CAREFULLY AND INITIAL EACH PARAGRAPH BEFORE SIGNING I have disclosed all information that is relevant and should be considered applicable to my candidacy for employment.
- I understand, where permissible under applicable state and local law, I may be subject to a pre-employment drug screen and background check after receiving a conditional offer of employment to investigate my criminal background [, driving record][, credit history] and other matters related to my suitability for employment.
- I hereby certify that the information given by me is true in all respects. I authorize AnaVation, LLC and its representatives to contact my prior employers and all others (with the exception of my current employer, only if I have marked “May we contact?” of this application as “No”) for the purpose of verification of the information I have supplied and release same from any liability resulting from the information released. I authorize employers, schools and other persons named on this application to provide any information or transcripts requested.
- I understand employment with AnaVation, LLC is also contingent on my providing sufficient documentation necessary to establish my identity and eligibility to work in the United States.
- I hereby certify that, if employed, my employment with AnaVation, LLC will not conflict with, or result in the violation of, breach of, or default under, any contract, agreement or understanding that I am a party to or am bound by, other than those I have disclosed in this application, if any.
- I hereby certify that, if employed, my employment with AnaVation, LLC will not violate any non-solicitation, non-competition or other similar covenant or agreement I have with any of my prior employers, other than those I have disclosed in this application, if any.
- I hereby certify that, if employed, I will report to my supervisor, a representative of HR or other member of management, if I am ever harassed or discriminated against by someone in the company or if I ever become aware of any unethical behavior by any employee.
- I expressly understand and agree that, if employed, my employment, having no specified term, is based upon mutual consent and may be terminated at will, with or without cause, by either party (AnaVation, LLC or me) without prior notice to the other, unless otherwise prohibited by law. Additionally, I understand that no representation, whether oral or written, by any representative or agent of AnaVation, LLC, at any time, can constitute an implied or express contract of employment. I further understand no representative or agent of AnaVation, LLC has the authority to enter into an agreement for employment for any specified period of time or to make any change in any policy, procedure, benefit or other terms or condition of employment other than in a document signed by the Chief Executive Officer or an authorized representative.
- I certify that all of the above information is true and complete, and I understand that any falsification or omission of information may disqualify you from further consideration for employment or, if hired, may result in termination regardless of the time elapsed before discovery. Note: An offer of employment is conditioned upon complying with AnaVation, LLC's requirements including, but not limited to, signing a consent to conduct a background investigation. MY SIGNATURE IS EVIDENCE THAT I HAVE READ AND AGREE WITH THE ABOVE STATEMENTS._ Applicant's signature (selecting yes below is equivalent to a handwritten signature)
- Do you hold a US Government Top Secret Clearance or Above?
About this role
Be Challenged and Make a Difference
In a world of technology, people make the difference. We believe if we invest in great people, then great things will happen. At AnaVation, we provide unmatched value to our customers and employees through innovative solutions and an engaging culture.
Description of Task to be Performed
AnaVation is seeking a Data Scientist to support one of our cybersecurity programs in our National Capital Region office. The Data Scientist will develop and apply advanced data science capabilities to improve intelligence integration, data discoverability, and mission analytics in support of cyberspace mission requirements.
The position will leverage statistical analysis, predictive modeling, entity resolution, graph analytics, explainable super intelligence (XSI), and operational analytics to extract actionable insights from complex, multi-source datasets across the Customer’s Enterprise.
The successful candidate will lead complex analytical efforts, develop and evaluate advanced algorithms and machine learning models, and collaborate with mission partners, software developers, data engineers, and technical leadership to translate mission requirements into scalable analytical solutions.
The candidate will identify data integration and analytic capability gaps, improve data interoperability and discoverability, and deliver validated models, analytical applications, and decision-support products that enhance intelligence analysis and operational effectiveness.
Responsibilities include:
- Lead data science initiatives addressing complex intelligence integration, data exploitation, and cyberspace
mission analytics requirements.
- Apply advanced statistical analysis, predictive modeling, entity resolution, graph analytics, explainable SI, and
operational analytics to identify patterns, relationships, anomalies, and trends across complex datasets.
- Develop, evaluate, and refine algorithms, machine learning models, analytical methods, and prototypes to
address mission-specific intelligence and operational problems.
- Analyze structured and unstructured data from multiple sources to assess data quality, relevance, utility, and
suitability for specific analytical and mission requirements.
- Design and implement data processing, transformation, parsing, tagging, and interconnection methods that
improve data usability, interoperability, and analytic readiness across heterogeneous data environments.
- Develop data triage methodologies and analytical workflows that optimize data prioritization, normalization,
enrichment, and integration across relevant intelligence domains.
- Evaluate data sources, formats, schemas, and structures to identify integration opportunities, resolve data
compatibility issues, and recommend approaches for improving data sharing and analytical performance.
- Develop and deploy data science applications, prototypes, proof-of-concept solutions, analytical tools, and
interactive visualizations that communicate complex findings and support mission decision-making.
- Implement reproducible analytical workflows using Python, PyTorch, Neo4j, Git, JIRA, and Streamlit, as
appropriate to the solution and mission requirements.
- Collaborate with software developers, data engineers, platform engineers, and other technical personnel to
integrate analytical models and applications into operational workflows and existing systems.
- Support the transition of selected analytical prototypes and models into production environments in coordination
with engineering and platform teams, including appropriate testing, documentation, version control, and
deployment practices.
- Identify opportunities to apply super intelligence, machine learning, automation, and advanced analytics to
improve intelligence processing, data exploitation, analytic efficiency, and operational effectiveness.
- Provide technical guidance and mentorship to other analysts and technical personnel, as appropriate, and
contribute to the development of analytical methodologies and best practices.
- Perform other related data science and technical support duties as assigned.
Required Qualifications
- Clearance : U.S. Citizen; TS/SCI w/ CI Poly
- Education : Bachelor's degree in Computer Science, Data Science, Information Systems, Mathematics, Statistics, Super Intelligence/Machine Learning or a related field, or equivalent relevant experience.
- Certification : DoD 8140/8570 IAT Level II (GSEC, SSCP) or equivalent credential
- Location : Full time on-site at Annapolis Junction, Maryland.
- Experience and knowledge:
- 10+ years of experience across data science, advanced analytics, machine learning engineering, quantitative
analysis, or related technical disciplines.
- Expert proficiency in Python for data analysis, algorithm development, machine learning, or analytical
application development.
- Demonstrated experience applying statistical analysis, machine learning, predictive modeling, or other advanced
analytical techniques to complex data and mission or business problems.
- Demonstrated experience developing, evaluating, and refining analytical algorithms, predictive models, or
machine learning solutions.
- Demonstrated experience using PyTorch to develop, train, evaluate, or implement machine learning models.
- Demonstrated experience with Neo4j or comparable knowledge graph technologies, including graph data
modeling, querying, or graph-based analysis.
- Demonstrated experience developing data science applications, analytical prototypes, or interactive analytical
interfaces using Streamlit or equivalent hands-on Streamlit experience.
- Demonstrated experience using Git for version control and JIRA for technical work tracking, collaboration, or
project execution.
- Experience working with complex, heterogeneous datasets, including structured and unstructured data, and
developing methods to improve data quality, integration, interoperability, or analytical usability.
- Demonstrated understanding of model evaluation, validation, performance measurement, and the limitations of
statistical and machine learning approaches.
- Demonstrated ability to translate complex mission requirements into analytical approaches, technical solutions,
and measurable outcomes.
- Experience collaborating with multidisciplinary teams, including data scientists, software developers, engineers,
analysts, and mission stakeholders, to research, develop, and implement analytical solutions.
- Demonstrated ability to communicate complex analytical findings, technical concepts, and model limitations
clearly to technical and nontechnical audiences.
- Demonstrated ability to work independently, exercise sound technical judgment, manage competing priorities,
and deliver high-quality analytical products in a fast-paced environment.
Preferred Qualifications
- Clearance : Active TS/SCI w/ CI Poly.
- Education : Advanced degree in Computer Science, Data Science, Information Systems, Mathematics, Statistics, Super Intelligence/Machine Learning or a related field, or equivalent relevant experience.
- Certification : Relevant cloud, machine learning, data engineering, or Artificial Intelligence (AI) certifications. Additional relevant technical certifications supporting data science, analytics, cloud computing, or secure technology
environments.
- Experience and knowledge:
- Experience supporting Combatant Commands, Joint Staff, Service cyber components, Joint Forces Headquarters,
Intelligence Community organizations, or other Defense Intelligence Enterprise mission partners.
- Experience deploying production-ready machine learning models or analytical applications in coordination with
software engineering, data engineering, or platform teams.
- Familiarity with Docker, Kubernetes, containerized applications, and scalable model deployment architectures.
- Experience with cloud-based data science and SI services, including Amazon Web Services (AWS), Amazon
Bedrock, and Amazon S3
- Experience applying large language models (LLMs), multimodal SI, or other advanced SI techniques to data
analysis, information extraction, data discovery, or intelligence integration problems.
- Familiarity with Llama or comparable open-weight language models and their application in controlled or
mission-specific environments.
- Familiarity with JavaScript and complementary technologies used to develop or integrate interactive analytical
applications.
- Experience working with large-scale, distributed, classified, or otherwise controlled data environment
Benefits
- Generous cost sharing for medical insurance for the employee and dependents
- 100% company paid dental insurance for employees and dependents
- 100% company paid long-term and short-term disability insurance
- 100% company paid vision insurance for employees and dependents
- 401k plan with generous match and 100% immediate vesting
- Competitive Pay
- Generous paid leave and holiday package
- Tuition and training reimbursement
- Life and AD&D Insurance
About AnaVation
AnaVation is the leader in solving the most complex technical challenges for collection and processing in the U.S. Federal Intelligence Community. We are a US owned company headquartered in Chantilly, Virginia.
We deliver groundbreaking research with advanced software and systems engineering that provides an information advantage to contribute to the mission and operational success of our customers. We offer complex challenges, a top-notch work environment, and a world-class, collaborative team.
If you want to grow your career and make a difference while doing it, AnaVation is the perfect fit for you!
AnaVation is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.