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Learning Analytics Jobs in Washington (NOW HIRING)

SAIC

Data Scientist

Chantilly, VA · On-site

$160K - $200K/yr

Provide technical and engineering support to the Government customer to manage machine learning analytics programs; apply knowledge and experience to develop and scale AI/ML models in multiple ...

SAIC

Data Scientist

Chantilly, VA · On-site

$160K - $200K/yr

Provide technical and engineering support to the Government customer to manage machine learning analytics programs; apply knowledge and experience to develop and scale AI/ML models in multiple ...

Dexis

Subject Matter Expert (SME), DOS/EAP

Washington, DC · On-site

Participate in data analysis, key informant interviews, workshops, learning events, and validation exercises as required. * Provide technical review and quality assurance of deliverables within their ...

Posted today

Dexis

Subject Matter Expert (SME), DOS/EAP

Washington, DC · On-site

Participate in data analysis, key informant interviews, workshops, learning events, and validation exercises as required. * Provide technical review and quality assurance of deliverables within their ...

Posted today

Tulk LLC

Foundations SME Mid

Fort Belvoir, VA · On-site

$102K - $130K/yr

Our cleared teams help mission organizations operate, communicate, analyze, plan, teach, and ... Deliver GEOINT tradecraft instruction for NGC courses and learning events. * Maintain and update ...

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Learning Analytics information

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How much do learning analytics jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for learning analytics in Washington is $44.76, according to ZipRecruiter salary data. Most workers in this role earn between $32.69 and $48.99 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in learning analytics?

To thrive in Learning Analytics, you need strong analytical skills, experience with data analysis, and a background in educational research or instructional design, typically supported by a relevant degree. Familiarity with Learning Management Systems (LMS), statistical tools like R or Python, and certifications in data analytics are commonly expected. Excellent communication skills, problem-solving abilities, and a collaborative mindset help professionals convey insights and work effectively with educators and administrators. These skills are essential for interpreting educational data, driving improvements in teaching and learning, and supporting data-driven decisions in academic environments.

What is learning analytics?

A Learning Analytics job involves collecting, analyzing, and interpreting data related to learners' performance and educational experiences. Professionals in this field use data-driven insights to improve teaching strategies, personalize learning experiences, and enhance institutional decision-making. They work with various analytical tools, machine learning models, and data visualization techniques to identify patterns and trends. This role is common in educational institutions, corporate training programs, and EdTech companies.

What does someone in learning analytics do?

Professionals in Learning Analytics typically spend their days collecting, cleaning, and analyzing educational data to identify patterns that can improve student outcomes and learning processes. They work closely with faculty, instructional designers, and IT teams to generate reports, visualize trends, and advise on data-backed strategies for curriculum improvement. Day-to-day tasks also involve maintaining data integrity, developing dashboards, and communicating findings in accessible ways to stakeholders. Collaboration and ongoing learning are integral, as the field continually evolves with advances in education technology and analytical methods.

What are the most commonly searched types of Learning Analytics jobs in Washington?

The most popular types of Learning Analytics jobs in Washington are:

What are popular job titles related to Learning Analytics jobs in Washington?

For Learning Analytics jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Learning Analytics jobs in Washington look for?

The top searched job categories for Learning Analytics jobs in Washington are:

Learning Analytics jobs near you
Infographic showing various Learning Analytics job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $93,092 per year, or $44.8 per hour.

Data Scientist

Science Applications International Corporation

Chantilly, VA

Full-time

Re-posted 5 days ago

SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

79th of 224 rated it services

Job description

SAIC is seeking a Data Scientist to provide Systems Engineer Technical Advisor (SETA) services for a critical position on SAIC's Prime Program, Landmark AOS. Landmark AOS is a large SETA program, supporting the NRO's Ground Enterprise Directorate (GED), responsible for the acquisition of systems over the complete end-to-end life cycle.

Note:  All candidates must have an active TS/SCI clearance with Polygraph to be considered for this role.

As the Data Scientist, you will provide specialized technical and engineering expertise supporting the acquisition of software services reliant on artificial intelligence and machine learning (AI/ML). SAIC's client is tasked with leading the integration of mission focused tools to foster increased efficiency, automation and information sharing.  You will also assist and advise Government managers responsible for the complete end-to-end life cycle of the customer's Ground Enterprise.

Job Responsibilities to include:

  • Provide data collection and analysis to enable transparency and explainability of AI/ML systems.
  • Provide technical and engineering support to the Government customer to manage machine learning analytics programs; apply knowledge and experience to develop and scale AI/ML models in multiple phenomenologies.  
  • Provide software architecture and other technical expertise to support the planning of future systems and architectures, and oversight of development contractors.
  • Apply systems analysis and design methodology assessments to identify technical debt, architectural runway and efficiency trade-offs against current and proposed/desired cloud-based software system design.
  • Develop briefings and documentation material to illustrate features, capabilities and mission use cases for the computer vision tool portfolio, including developing technical roadmaps and the acquisition strategies/documentation to implement them.
  • Facilitate technical and programmatic interchanges; identify and resolve issues; and provide engineering and technical advice to the customer to achieve innovative capabilities for automated machine learning analytics.
  • You will work side-by-side with the other LANDMARK AOS staff comprised of world class System Engineers, Acquisition Engineers and Domain Experts to lead the customer in acquiring modern processing applications.
SAIC is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.

We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

Required Education and Experience

  • Bachelors and two (2) years or more experience; Masters and 0 years related experience.
  • Active Top Secret Clearance with Polygraph.
  • Strong engineering background with knowledge of software architectures and machine learning approaches.
  • Experience with ontologies, training dataset generation, model evaluation and validation, and responsible AI practices.
  • Domain knowledge in Agile software development practices (Scrum, SAFe) and cloud computing architectures with experience monitoring software development progress via agile metrics, identifying risks, discrepancies, and performance issues.
  • Demonstrated high level of initiative, creative problem-solving, and critical thinking.
  • Demonstrated capability and success working in team environments.
  • Strong oral and written communications ability on significant technical matters often requiring coordination within a high-tempo environment.
  • Good working knowledge of MS Office applications.

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