Maryland

Data Jobs in Maryland

53 jobs found

Include remote jobs

Today

Data Scientist (Various Levels)

Agile Defense Fort Meade, MD

Fort Meade, MD

Today

$120k - $170k/yr Full time Big Data Data Data Analysis

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Job Description

The Data Scientist role at Agile Defense is an onsite position based in Fort Meade, Maryland. This role supports large-scale projects and software solutions, requiring active TS/SCI with CI Poly clearance. The position offers a structured path across multiple levels with a focus on advanced analytics, machine learning, and client collaboration.

Responsibilities

Oversees technical design, development, and implementation of large projects or major software products and solutions for clients.
Assists in defining architecture requirements and establishing design and development standards.
Consults with management and clients regarding feasibility and viability of product plans and designs.
Incorporates emerging technologies and product supportability into design and implementation.
Serves as the primary technical resource to the development team.
May act as team leader, prioritizing group tasks, assigning work, and reviewing outputs of junior developers.
Provides product demonstrations and engages in trade shows, seminars, industry panels, and user group meetings.
Interacts with customers regarding strategies, requirements, problem solving, and support.

Requirements

Active TS/SCI with polygraph required for consideration
Bachelor’s degree in a relevant field and 5 years of experience; an advanced degree will be considered in lieu of years of experience
Proficient in Python
Experience with Docker and Kubernetes
Experience with end-to-end workflows or projects
3+ years of Defensive Cyber Operations experience
3+ years of Machine Learning techniques and statistical model evaluation

Technologies

Python
Docker
Kubernetes
R
SQL
AWS
Big Data Platform (BDP)
Linux
Windows
Jupyter Notebooks
Cisco CCNA
STIGs
IAVA
Network Analysis Tools

Compensation

USD 120,000 - 170,000 per year

Benefits

Health Insurance
Life Insurance
Paid Time Off
Holiday Pay
Short-term Disability
Long-term Disability
Retirement
Learning and Development opportunities

Our Core Values

Happy - Be Infectious. Happiness multiplies and creates a positive and connected environment where motivation and satisfaction have an outsized effect on everything we do.
Helpful - Be Supportive. Being helpful is the foundation of teamwork, resulting in a supportive atmosphere where collaboration flourishes, and collective success is celebrated.
Honest - Be Trustworthy. Honesty serves as our compass, ensuring transparent communication and ethical conduct, essential to who we are and the complex domains we support.
Humble - Be Grounded. Success is not achieved alone; humility ensures a culture of mutual respect, open communication, and willingness to learn from one another.
Hungry - Be Eager. Our drive for excellence fuels continuous innovation and improvement in the face of new challenges.
Hustle - Be Driven. A strong work ethic drives us to go above and beyond to advance the mission and achieve success.

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Today

Sr. Data Analyst

Glint Tech Solutions LLC Columbia, MD

Columbia, MD

Today

Contract Senior Analyst Analytics

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Job Description

This contract role centers on enterprise analytics for Medicare Advantage Stars and Risk Adjustment within a healthcare payer setting, collaborating with leadership and stakeholders to enhance provider data accuracy, reporting, and strategic decision-making.

Responsibilities

Enable CMS Stars and Risk Adjustment initiatives through advanced healthcare analytics.
Assess provider and claims data to detect trends, gaps, and opportunities for improvement.
Design dashboards, reports, and visualizations for business teams and executive leadership.
Collaborate with business units, IT, and product owners to advance data-driven programs.
Monitor the performance of applications and reporting, proposing process improvements as needed.
Ensure ongoing compliance with Medicare and Medicaid program requirements.
Coordinate with external vendors and government agencies as required.

Requirements

10+ years of experience as a Data Analyst within a healthcare payer environment.
Strong expertise in CMS Federal Healthcare programs, with a focus on CMS Stars.
Experience working with provider data, claims platforms, and provider-to-claims processes.
Proven ability to advise senior leadership on healthcare data strategy and improvement initiatives.
Hands-on experience extracting and analyzing data from MS Azure.
Solid knowledge of Salesforce and FACETS.
Bachelor's degree is required; a Master's degree is preferred.
Excellent analytical, communication, and organizational skills.

Technologies

MS Azure
Salesforce
FACETS

Additional Information

Contract-to-hire opportunity
Candidates must be located in or able to travel to MD, DC, PA, WV, or DE for occasional onsite visits

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Today

Journeyman Data Analyst

Leidos Bethesda, MD

Bethesda, MD

Today

$92k - $167k/yr Full time Analyst Data Data Analysis

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Job Description

Leidos is seeking a Journeyman Data Analyst to join its Intel Sector Analysis Solutions team in Bethesda, MD, onsite. This role centers on enterprise data management, governance, interoperability, and repository management within a security-conscious environment, and requires a TS/SCI with Polygraph clearance. The position offers a salary range of USD 92,300 to 166,850 per year, reflecting the experience and responsibilities involved.

Responsibilities

Establish, maintain, and improve enterprise data lifecycle processes, including data ingestion, storage, usage, archival, and retention practices.
Support enterprise data governance initiatives by defining and maintaining data standards, validation rules, metadata management practices, and quality control procedures.
Integrate disparate data sources and artifacts across federated systems to support interoperability and mission requirements.
Support the development, maintenance, and optimization of enterprise data repositories and storage environments.
Conduct data quality assessments and implement standardized processes to improve data reliability and minimize manual intervention.
Perform configuration management and controlled documentation reviews to ensure alignment, traceability, consistency, and version control across data assets and engineering documentation.
Analyze enterprise data structures, policies, and workflows to identify opportunities for improved accessibility, efficiency, and reliability.
Develop and maintain documentation, reports, briefing materials, and technical artifacts related to data governance, repository management, and integration activities.
Support integration of new data models, standards, schemas, and artifacts into existing enterprise environments.
Collaborate with engineering, operations, and stakeholder teams to support evolving mission and program data requirements.
Provide recommendations to improve enterprise data architecture, governance policies, interoperability standards, and repository performance.
Communicate technical findings and recommendations clearly through written documentation, visual presentations, and verbal briefings suitable for both technical and non-technical audiences.

Requirements

Requires BA/BS and 8+ years of experience supporting data management, data governance, data integration, or enterprise data environments; or no degree and 12+ years of relevant experience.
TS/SCI with Polygraph clearance required.
Experience supporting enterprise data lifecycle management processes and data governance initiatives.
Experience with data integration, interoperability, metadata management, and repository administration.
Knowledge of configuration management principles, version control practices, and documentation governance.
Experience developing and maintaining technical documentation, reports, and briefing materials.
Proficiency with data management and analysis tools such as SQL, Python, Excel, Access, or equivalent technologies.
Experience supporting enterprise data repositories, storage environments, or data management platforms.
Ability to analyze data-related processes and recommend improvements to data quality, accessibility, and operational efficiency.
Strong written and verbal communication skills with the ability to present technical concepts to diverse stakeholder audiences.

Technologies

SQL
Python
Excel
Access
Jira
Confluence

Benefits

Paid Time Off
11 paid Holidays
401K with a 6% company match and immediate vesting
Flexible Schedules
Discounted Stock Purchase Plans
Technical Upskilling
Education and Training Support
Parental Paid Leave

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Today

Data Scientist

Leidos Maryland 🇺🇸 Remote

Maryland

Today

$70k - $126k/yr Full time Python Analytics Artificial Intelligence

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Job Description

Data Scientist at Leidos focused on mission-focused big data and predictive analytics for national security, with research-level analytics and cross-functional collaboration, and flexible on-site/remote work based on client requirements.

Responsibilities

Collaborate with a cross-disciplinary team of data scientists, software engineers, network specialists, senior investigators, program managers, researchers, and data analysts to design, build, and refine a Search and Discovery platform that locates, organizes results, disseminates findings via reports, and supports publications and presentations.
Pursue research tasks to identify optimal indexing and data organization strategies to enhance discovery.
Develop agents and tools as reusable elements within a broader agent-based solution space.
Manage multiple concurrent projects, use open-ended guidance, and independently or with teammates uncover mission-relevant insights, then package and present findings to non-technical audiences.
Apply curiosity, quantitative acumen, and customer focus to identify novel data sources across fields, improve predictive algorithm performance, and promote adoption of advanced data analytics platforms with a skilled, motivated team.
Utilize expertise in research design, exploratory analysis, quantitative methods, UI application design, and customer outreach and engagement.

Requirements

Bachelor's degree in a quantitative or analytical field (examples include Computer Science, Mathematics, Economics, Statistics, Engineering, Physics, or Computational Social Science) or Master's degree or equivalent graduate degree with certificate-based advanced training.
4+ years of experience in data science, analytics, or quantitative intelligence analysis, demonstrating progressive technical development; with a Master's degree, 2+ years of experience is required.
Active TS/SCI clearance required; able to obtain and maintain a polygraph.
Proficient in Python.
Experience deploying data science applications (for example Streamlit) using Docker, Kubernetes, and/or OpenShift.
Experience with information retrieval and search technologies, such as Elastic Stack (Elasticsearch, Kibana) and SQL.
Familiar with Git and cooperative software development practices.
Experience working with a hybrid team of analysts, engineers, and developers to research, build, and deploy complex yet user-friendly algorithms and analytics platforms.
Demonstrated active learning and creative problem solving.
Experience in co-development and cooperative research to maximize reuse of team products.

Technologies

Python
Docker
Kubernetes
OpenShift
Elastic Stack (Elasticsearch, Kibana)
SQL
Git
Streamlit
Agno
CrewAI
Pydantic AI
LangGraph

Benefits

Competitive compensation
Health and Wellness programs
Income Protection
Paid Leave
Retirement

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3d ago

Data Scientist, Mid

Booz Allen Hamilton Fort Meade, MD

Fort Meade, MD

3d ago

$78k - $176k/yr Full time Analytics Data Data Analysis

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Job Description

This mid-level data scientist role focuses on transforming complex data into actionable insights across diverse sectors, building algorithms and systems, and collaborating closely with clients. A TS/SCI clearance with polygraph is required.

Responsibilities

Apply analytical expertise and data science methods to deliver tangible impact in real-world scenarios.
Partner with clients to clarify questions, explore data-rich environments, and identify the essential information needed to solve problems.
Design and implement algorithms and data systems, selecting appropriate tools and frameworks to convert disparate data points into objective answers that support informed decision making.
Provide deep understanding of the data, its meaning, and potential applications to stakeholders.

Requirements

1+ year of experience in statistics, operations research, or advanced mathematics
Experience with R or Python
Experience using scientific methods to inform qualitative and quantitative analyses
Ability to work effectively in a collaborative and fast-paced environment
TS/SCI clearance with a polygraph
HS diploma or GED

Technologies

R, Python

Benefits

Health benefits
Life benefits
Disability benefits
Financial benefits
Retirement benefits
Paid leave
Professional development
Tuition assistance
Work-life programs
Dependent care

Clearance

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with polygraph is required.

Compensation

Salary is determined by multiple factors, including location, the candidate's education, knowledge, skills, competencies, experience, contract-specific affordability, and organizational requirements. The projected compensation range is USD 77,600 to 176,000 per year. This posting typically represents the salary range for this role as part of Booz Allen's total compensation package. The posting will close within 90 days from the posting date.

Identity Verification

As part of the hiring process, Booz Allen uses identity verification that leverages advanced biometrics and artificial intelligence to ensure authenticity and reduce identity fraud. Candidates are expected to be on camera during interviews and assessments, and Booz Allen may capture your image for verification purposes.

Candidate AI Usage Policy

AI tools are used in Booz Allen's day-to-day operations, but use of artificial intelligence to assist with interview responses is prohibited unless explicit permission is provided. The process emphasizes evaluating each candidate's own skills and knowledge.

Work Model

Onsite: Work will primarily occur at a Booz Allen office or a customer facility, with collaboration as required by the role.

Hybrid: Regular work from a Booz Allen facility is expected, with potential visits to customer facilities; occasional in-person work may be required to support the role.

Remote: Some tasks may be performed remotely, but there may still be occasions requiring in-person work at Booz Allen or a customer site.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, protected veteran status, or any other status protected by applicable law.

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3d ago

Data Scientist

Booz Allen Hamilton Fort Meade, MD

Fort Meade, MD

3d ago

$78k - $176k/yr Full time Data Data Analytics Data Science

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Job Description

Booz Allen Hamilton seeks a Data Scientist who can turn complex data into actionable insights through IoT, ML/AI, and analytics. This role emphasizes partnering with clients to understand their questions, then building algorithms and data-driven systems that translate diverse data into clear, decision-ready answers across multiple sectors.

Location

Fort Meade, MD — onsite

Responsibilities

Apply analytical skills and data science knowledge to generate real-world impact for clients.
Collaborate with clients to clarify questions and dive into data-rich environments to identify relevant information.
Develop algorithms and systems, selecting appropriate tools and frameworks to turn disparate data points into objective answers that support informed decisions.
Deliver a deep understanding of the data, its meaning, and potential uses for client strategies.

Requirements

1+ years of experience in statistics, operations research, or advanced mathematics
Experience with R or Python
Experience using scientific methods to inform qualitative and quantitative analyses
Ability to work effectively in a collaborative and fast-paced environment
TS/SCI clearance with a polygraph
HS diploma or GED

Technologies

R
Python
Windows
Linux

Benefits

Health benefits
Life benefits
Disability benefits
Financial benefits
Retirement benefits
Paid leave
Professional development
Tuition assistance
Work-life programs
Dependent care
Recognition awards program

Work Model

Remote: If listed as remote, there may be occasions to work in person at a Booz Allen or customer facility.
Hybrid: If listed as hybrid, you’ll frequently work from a Booz Allen facility and may be required to visit a customer facility, aligned with leadership expectations and role needs.
Onsite: Work primarily at a Booz Allen office or customer facility, collaborating directly with colleagues and customers as required.

Identity Statement

As part of the hiring process, you will complete an identity verification process that uses advanced biometrics and artificial intelligence to protect against identity fraud. You may be on camera during interviews and assessments, and Booz Allen reserves the right to capture a photo to verify identity.

Candidate AI Usage Policy

AI tools may be used at Booz Allen as part of daily work, but the candidate process remains based on your own skills and knowledge. The use of AI to assist with interview responses is prohibited unless explicit permission is provided.

Clearance

Applicants selected will be subjected to a security investigation and must meet eligibility requirements for access to classified information; TS/SCI clearance with polygraph is required.

Compensation

The projected annual salary range is $77,600.00 to $176,000.00 USD. Compensation is determined by factors including location, education, knowledge, skills, competencies, experience, contract-specific considerations, and organizational requirements.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, protected veteran status, or any other status protected by applicable law.

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5d ago

Senior Consultant, Strategy, Growth, and Transformation, Identity & Gen AI Engineer

Deloitte Baltimore, MD

Baltimore, MD

5d ago

$105k - $208k/yr Full time Senior Artificial Intelligence Cedar

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Job Description

Deloitte offers an onsite Senior Consultant role in Baltimore, MD, focused on building secure GenAI solutions with identity, access, and governance controls. You will work on authentication, authorization, and policy enforcement for AI agents and data access across enterprise and cloud environments. The position provides a competitive salary range of USD 105,400 - 207,800 per year and a discretionary annual incentive program, with opportunities to collaborate closely with IAM, security architecture, and data teams to embed identity controls throughout GenAI delivery.

Location: Baltimore, MD (onsite)

Salary: USD 105,400 - 207,800 per year

Responsibilities

Build and integrate generative AI solutions, including LLM applications, retrieval-augmented generation, and AI agents, with secure access to data and downstream systems.
Engineer authentication, authorization, and identity controls for AI agents, service accounts, and other non-human identities operating across enterprise and cloud environments.
Develop guardrails for agentic workflows, including scoped permissions, least-privilege access, credential and secrets management, and runtime policy enforcement.
Implement logging, monitoring, and governance that provide traceability and accountability for AI system actions.
Collaborate with IAM, security architecture, and data teams to embed identity controls into GenAI solution delivery and operations.
Create and maintain reference architectures, reusable patterns, and technical documentation for building and securing AI systems.

Requirements

Bachelor's degree in Cybersecurity, Computer Science, Information Systems, Engineering, or a similar technical field
Ability to work onsite up to 5 days a week
3+ years of software engineering experience with Python or a comparable language
1+ year of hands-on experience building, integrating, or deploying generative AI solutions such as large language model applications, retrieval-augmented generation, or AI agents, including use of model APIs, orchestration frameworks, and AI development tools such as Claude Code, OpenAI Codex, GitHub Copilot, or Cursor
Working knowledge of identity and access management concepts and protocols, including authentication, authorization, single sign-on, and standards such as OpenID Connect, SAML, OAuth, and JWT
Ability to travel 15 percent on average based on client needs
Ability to obtain and maintain the necessary security clearance
Authorized to work in the United States without employer sponsorship now or in the future

Technologies

Python
Claude Code
OpenAI Codex
GitHub Copilot
Cursor
Identity platforms and access management tools such as SailPoint, Okta, Microsoft Entra ID
Secrets management and IAM tooling like HashiCorp Vault, CyberArk
LangChain, LangGraph, Model Context Protocol, OPA, Cedar, OpenFGA
Cloud and automation: AWS, Microsoft Azure, Terraform, Ansible