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Data Modelling Jobs in Virginia (NOW HIRING)

Preferred : • Advanced Analytics - Data modelling, automation, and advanced analytics use cases • Agile portfolio Management - Align analytics with Agile delivery and capacity planning • Data ...

Preferred : • Advanced Analytics - Data modelling, automation, and advanced analytics use cases • Agile portfolio Management - Align analytics with Agile delivery and capacity planning • Data ...

Technical Data Manager L6 Role Location: Arlington US. Hybrid 2 days a week onsite Need to: Manage ... modelling, tuning, evaluating, monitoring, and presenting Cloud Knowledge (Databricks or AWS ...

Broad knowledge of application and data modelling techniques with the ability to identify root cause issues and appropriate solutions. * Strong experience working in Agile environment/SAFe framework

Strong command of financial systems, reporting tools, and data modelling best practices. * Excellent English communication skills (written and verbal); additional languages are a plus. * A truly ...

Data Scientist Specialist Duration: 6 Months - Potential Contract to hire Location: McLean, VA ... M-F Must Have Qualifications: 10+ years of experience with modelling- with at least 3-5 years of ...

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Data Modelling information

Will AI replace data modelers?

AI is unlikely to fully replace data modelers, as their role involves complex understanding of business needs, data structures, and design principles that require human judgment. Instead, AI tools can assist data modelers by automating routine tasks and enhancing productivity, allowing them to focus on more strategic aspects of data modeling. Continuous learning and proficiency with data modeling tools remain important for job security in this field.

Is 40 too late for data science?

Data Modelling is a key skill in data science, and age is not a barrier to entering the field. Many professionals transition into data science later in their careers by acquiring relevant skills such as programming, statistics, and tools like SQL or Python. Continuous learning and building a strong portfolio can help overcome age-related concerns in the industry.

How much do data modelers make?

Data modelers typically earn between $70,000 and $120,000 annually, depending on experience, location, and industry. Senior data modelers with specialized skills in database design and data warehousing can earn higher salaries, especially with certifications and advanced tools knowledge.

What do you do in data modeling?

A data modeler designs and creates data structures, such as databases and schemas, to organize and store information efficiently. They analyze data requirements, define relationships, and use tools like ER diagrams and modeling software to ensure data integrity and accessibility.

What is the difference between Data Modelling vs Data Analyst?

AspectData ModellingData Analyst
Primary FocusDesigning data structures and schemasAnalyzing data to generate insights
Skills & CertificationsData modeling, database design, SQLData analysis, statistics, Excel, SQL
Work EnvironmentDatabase design teams, data architectureBusiness units, reporting teams
Tools UsedER diagrams, data modeling softwareExcel, BI tools, SQL

Data Modelling focuses on creating the structure and design of data systems, while Data Analysts interpret data to provide actionable insights. Both roles often collaborate but serve different purposes within data management and analysis processes.

What cities in Virginia are hiring for Data Modelling jobs? Cities in Virginia with the most Data Modelling job openings:

Availability and Readiness Data Scientist

Paradigm Max Q LLC

Stafford, VA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Job description

Position Description
Title: Availability and Readiness Data Scientist
Reports To: Director of Analytics
Primary Location: United States - Hybrid
Remote Work: Available
Travel: Yes, less than 10% of the time
Security Clearance: Active Secret Clearance (Required)
About us
Paradigm Max Q is redefining defense industry support. Founded in 2023, we combine elite talent with advanced analytics to deliver actionable solutions that improve readiness and reduce costs for the government and warfighter. With rapid growth and operations across the U.S., we're driven by performance, innovation, and impact.
Our mission: to deliver measurable results that strengthen national defense and empower those who serve.
Position Summary
Paradigm Max Q is seeking a highly skilled Data Scientist with preferred experience in supply chain or performance modelling in OPUS Suite or comparable Department of Defense (DoD) modeling tools. The ideal candidate will also bring strong analytical capabilities using Power BI, Tableau, JMP, or JMP Pro to support statistical modeling, predictive analytics, and logistics performance optimization.
In this role, you will design, execute, and interpret advanced performance and supply chain data that drives mission-critical decision-making for government and defense sector programs. You will work cross-functionally to uncover bottlenecks, optimize inventory and readiness strategies, and transform complex modeling outputs into actionable insights.
Key Responsibilities
Supply Chain Modeling & Simulation
  • Develop, configure, and run supply chain simulations using OPUS Suite or similar DoD modeling software.
  • Perform performance modeling, scenario analysis, and readiness assessments to support operational decision-making.

Analytics, Visualization & Reporting
  • Build analytical dashboards and visualizations using Power BI, Tableau, or similar visualization tools to support strategic insights.
  • Conduct statistical experiments including regression modeling, performance testing, and predictive forecasting.
  • Translate modeling findings into clear, actionable recommendations through reports, executive briefings, and decision-support tools.

Operational & Lifecycle Support
  • Collaborate with technical, logistics, and program stakeholders to evaluate supply chain constraints and propose optimization strategies.
  • Provide data-driven support for lifecycle logistics analysis, scenario planning, and operational performance evaluations.
  • Maintain modeling documentation, configuration control, and repeatable analysis processes to support high-quality and auditable deliverables.

Preferred Skills
Performance & Supply Chain Modelling
  • OPUS Suite (e.g., SIMLOX, OPUS10, CATLOC) or similar DoD-focused supply chain modeling suite.

Data Visualization & Business Intelligence
  • Power BI, Tableau, or similar Data Visualization and Dashboarding tools

Statistical Modeling & Experimentation
  • JMP, JMP Pro (Preferred), Minitab, or similar Statistical Modeling software experience

Programming & Data Manipulation
  • Python, R, Tibco, Databricks or similar data processing tools
  • Relational Database experience (MS SQL Server, MySQL, SAP Hana, PostgreSQL or similar) to include writing complex queries

Experience
Qualifications
  • Bachelor's degree or 9+ years of relevant experience in Data Science, Data Analytics, Operations Research, Industrial Engineering, or related field.
  • 5+ years of experience in supply chain modeling, operations analysis, or performance optimization utilizing data tools in modelling, visualization, statistics, and data manipulation
  • Strong verbal and written communication skills with the ability to convey complex technical information to diverse audiences.
  • Active Secret Security Clearance required.

Preferred Qualifications
  • OPUS Suite (e.g., SIMLOX, OPUS10, CATLOC) or similar DoD-focused supply chain modeling suite.
  • Experience supporting DoD clients or federal supply chain programs.
  • Familiarity with SDVOSB or small business government contracting environments.
  • Background in lifecycle cost modeling, readiness analysis, and performance measurement frameworks.
  • Experience in artificial intelligence (AI) or machine learning (ML), particularly as applied to analytics, modeling, or decision-support systems.

Benefits Statement: Paradigm Max Q provides eligible employees with a comprehensive benefits package that includes medical, dental, and vision insurance; life insurance; short-term and -long-term disability coverage; a 401(k)-retirement plan; paid time off (PTO) for vacation; and company -paid- holidays. The benefits package also includes reimbursement for a Planet Fitness Black Card membership.
EEO Statement: Paradigm Max Q is an equal opportunity employer and values diversity in the workplace. All qualified applicants will receive consideration for employment without regards to race, religion, sex, national origin, disability status, protected veteran status, or any other status protected by law.