Data Scientist
Mclean, VA · On-site
... models. Large Data Storytelling: explaining insights and methodology to a non-technical audience, dashboards, plots & visualizations, direct experience with customers. Programming: Candidates must ...
Data Scientist
Mclean, VA · On-site
... models. Large Data Storytelling: explaining insights and methodology to a non-technical audience, dashboards, plots & visualizations, direct experience with customers. Programming: Candidates must ...
Data Scientist
Mclean, VA · On-site +1
$140K - $160K/yr
... direct experience in Data Modeling and Data Solution Development * Experience modeling on structured and unstructured data sets * Experience with exploratory data analysis * Experience in feature ...
Data Scientist
Mclean, VA · On-site +1
$140K - $160K/yr
... direct experience in Data Modeling and Data Solution Development * Experience modeling on structured and unstructured data sets * Experience with exploratory data analysis * Experience in feature ...
AWS Data Engineer
Reston, VA · On-site
$119K - $143K/yr
Solid SQL SQL skills and familiarity with data modeling and query optimization * Experience with ET ... Direct: 4705239688 Led by 25+ Years of Industry Experience
Quick apply
AWS Data Engineer
Reston, VA · On-site
$119K - $143K/yr
Solid SQL SQL skills and familiarity with data modeling and query optimization * Experience with ET ... Direct: 4705239688 Led by 25+ Years of Industry Experience
Define data standards, canonical data models, integration patterns, and architecture principles across employee, organizational, workforce, learning, and related HR domains. * Translate HR business ...
Define data standards, canonical data models, integration patterns, and architecture principles across employee, organizational, workforce, learning, and related HR domains. * Translate HR business ...
Implement, sustain, and improve Mission Assurance data workflows, analytical models, dashboards, monitoring views, and decision-support products within Palantir Foundry and other Government-directed ...
Implement, sustain, and improve Mission Assurance data workflows, analytical models, dashboards, monitoring views, and decision-support products within Palantir Foundry and other Government-directed ...
Define data standards, canonical data models, integration patterns, and architecture principles across employee, organizational, workforce, learning, and related HR domains. * Translate HR business ...
Define data standards, canonical data models, integration patterns, and architecture principles across employee, organizational, workforce, learning, and related HR domains. * Translate HR business ...
Define data standards, canonical data models, integration patterns, and architecture principles across employee, organizational, workforce, learning, and related HR domains. * Translate HR business ...
Define data standards, canonical data models, integration patterns, and architecture principles across employee, organizational, workforce, learning, and related HR domains. * Translate HR business ...
Data Scientist
Mclean, VA · On-site
$125K - $160K/yr
... years direct experience in Data Modeling and Data Solution Development * 1+ year performing queue modeling and survival analysis * Bachelor's degree in computer science, information systems ...
Data Scientist
Mclean, VA · On-site
$125K - $160K/yr
... years direct experience in Data Modeling and Data Solution Development * 1+ year performing queue modeling and survival analysis * Bachelor's degree in computer science, information systems ...
Data Scientist
$140K - $160K/yr
... direct experience in Data Modeling and Data Solution Development * Experience modeling on structured and unstructured data sets * Experience with exploratory data analysis * Experience in feature ...
Data Scientist
$140K - $160K/yr
... direct experience in Data Modeling and Data Solution Development * Experience modeling on structured and unstructured data sets * Experience with exploratory data analysis * Experience in feature ...
Data Scientist
$125K - $160K/yr
... years direct experience in Data Modeling and Data Solution Development * 1+ year performing queue modeling and survival analysis * Bachelor's degree in computer science, information systems ...
Data Scientist
$125K - $160K/yr
... years direct experience in Data Modeling and Data Solution Development * 1+ year performing queue modeling and survival analysis * Bachelor's degree in computer science, information systems ...
Data Scientist
Mclean, VA · On-site
$125K - $160K/yr
... years direct experience in Data Modeling and Data Solution Development * 1+ year performing queue modeling and survival analysis * Bachelor's degree in computer science, information systems ...
Data Scientist
Mclean, VA · On-site
$125K - $160K/yr
... years direct experience in Data Modeling and Data Solution Development * 1+ year performing queue modeling and survival analysis * Bachelor's degree in computer science, information systems ...
AWS Data Engineer - w2
Reston, VA · On-site
$119K - $143K/yr
Solid SQL SQL skills and familiarity with data modeling and query optimization * Experience with ET ... Direct: 4705239688 Led by 25+ Years of Industry Experience
Quick apply
AWS Data Engineer - w2
Reston, VA · On-site
$119K - $143K/yr
Solid SQL SQL skills and familiarity with data modeling and query optimization * Experience with ET ... Direct: 4705239688 Led by 25+ Years of Industry Experience
Data Engineer - Clearance Required with Security Clearance
Arlington, VA · On-site
$131K - $158K/yr
Develop and maintain enterprise data models, business rules, metadata, and documentation supporting ... Self-directed, detail oriented, and capable of managing multiple priorities in dynamic environments.
Data Engineer - Clearance Required with Security Clearance
Arlington, VA · On-site
$131K - $158K/yr
Develop and maintain enterprise data models, business rules, metadata, and documentation supporting ... Self-directed, detail oriented, and capable of managing multiple priorities in dynamic environments.
The Director Enterprise Data Platform leads one of the foundational teams within the Enterprise ... Work closely with the Architecture team to ensure the Gold layer is built to canonical data model ...
The Director Enterprise Data Platform leads one of the foundational teams within the Enterprise ... Work closely with the Architecture team to ensure the Gold layer is built to canonical data model ...
Analysis & Modeling: Perform statistical and predictive modeling to identify trends, anomalies, and ... Director of Energy. * The candidate will assist in representing the company in commercial ...
Analysis & Modeling: Perform statistical and predictive modeling to identify trends, anomalies, and ... Director of Energy. * The candidate will assist in representing the company in commercial ...
Define data standards, canonical data models, integration patterns, and architecture principles across employee, organizational, workforce, learning, and related HR domains.* Translate HR business ...
New
Define data standards, canonical data models, integration patterns, and architecture principles across employee, organizational, workforce, learning, and related HR domains.* Translate HR business ...
New
Analysis & Modeling: Perform statistical and predictive modeling to identify trends, anomalies, and ... Director of Energy. * The candidate will assist in representing the company in commercial ...
Analysis & Modeling: Perform statistical and predictive modeling to identify trends, anomalies, and ... Director of Energy. * The candidate will assist in representing the company in commercial ...
Integrate data from multiple sources and build data models to support analytical and operational ... directing the activities of highly skilled technical and analytical teams responsible for ...
Integrate data from multiple sources and build data models to support analytical and operational ... directing the activities of highly skilled technical and analytical teams responsible for ...
Data Scientist
Norfolk, VA · On-site
... modeling, and modern tools like dbt. * Hands-on experience with Databricks, Apache Spark, Snowflake, Redshift, BigQuery, AWS, Azure, or GCP data engineering services. * Direct experience utilizing ...
Data Scientist
Norfolk, VA · On-site
... modeling, and modern tools like dbt. * Hands-on experience with Databricks, Apache Spark, Snowflake, Redshift, BigQuery, AWS, Azure, or GCP data engineering services. * Direct experience utilizing ...
Implement, sustain, and improve Mission Assurance data workflows, analytical models, dashboards, monitoring views, and decision-support products within Palantir Foundry and other Government-directed ...
Implement, sustain, and improve Mission Assurance data workflows, analytical models, dashboards, monitoring views, and decision-support products within Palantir Foundry and other Government-directed ...
Data Modeling Director information
What is the difference between Data Modeling Director vs Data Warehouse Manager?
| Aspect | Data Modeling Director | Data Warehouse Manager |
|---|---|---|
| Primary Focus | Designing and overseeing data models and architecture | Managing data warehouse operations and data integration |
| Required Skills | Data modeling, database design, leadership | Data warehousing, ETL processes, team management |
| Work Environment | Strategic planning, collaboration with data architects | Operational management, technical troubleshooting |
| Industry Usage | Used across industries with large data needs | Primarily in organizations with extensive data warehousing needs |
The Data Modeling Director focuses on creating and maintaining data models and architecture, ensuring data consistency and quality. In contrast, the Data Warehouse Manager handles the day-to-day operations of data warehouses, including data integration and performance optimization. Both roles require strong technical skills, but their responsibilities differ in scope and focus.
What does a Data Modeling Director do?
A Data Modeling Director oversees the design, development, and management of data models that support an organization's data strategy and business goals. They lead teams of data modelers and analysts to create, optimize, and maintain logical and physical data models for databases, data warehouses, and other data systems. Their responsibilities include ensuring data quality, consistency, and compliance with industry standards, as well as collaborating with stakeholders to align data structures with business needs. Additionally, they often provide guidance on best practices and emerging trends in data modeling to ensure scalable and efficient data architectures.
What are the key skills and qualifications needed to thrive as a Data Modeling Director?
To excel as a Data Modeling Director, you need deep expertise in data architecture, data modeling methodologies (such as relational, dimensional, and NoSQL), and a strong background in computer science or a related field. Experience with data modeling tools (e.g., ERwin, PowerDesigner), database systems (SQL, Oracle, MongoDB), and relevant certifications like CDMP are highly valuable. Strong leadership, communication, and project management skills set standout professionals apart by enabling effective team collaboration and stakeholder engagement. These competencies ensure the design and management of robust, scalable data structures that support organizational objectives and informed decision-making.
What are some common challenges faced by a Data Modeling Director when managing cross-functional teams?
As a Data Modeling Director, a key challenge is ensuring alignment across cross-functional teams such as data engineering, business analytics, and IT. Different teams may have varying priorities, technical backgrounds, and understandings of data requirements, which can lead to miscommunication or conflicting objectives. To address this, the director must foster clear communication, establish standardized data modeling practices, and facilitate regular collaboration to ensure that data models meet both technical and business needs. Balancing technical accuracy with business relevance is essential for successful project outcomes.
What are the most commonly searched types of Data Modeling jobs in Virginia? The most popular types of Data Modeling jobs in Virginia are:
What are popular job titles related to Data Modeling Director jobs in Virginia? For Data Modeling Director jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Data Modeling Director jobs in Virginia look for? The top searched job categories for Data Modeling Director jobs in Virginia are:
What cities in Virginia are hiring for Data Modeling Director jobs? Cities in Virginia with the most Data Modeling Director job openings:
Thomson Reuters rating
8.9
Based on 19 frontline employees who took The Breakroom Quiz
30th of 482 rated business services
Job description
Job Summary:
Thomson Reuters Special Services (TRSS) is seeking a Data Scientist to support Federal Law Enforcement customers. The role involves collecting, analyzing, and modeling large data sets to assist in complex investigations and contribute to internal innovation efforts.
Responsibilities:
• Collecting, integrating, resolving, analyzing, modeling, and explaining large data in support of complex investigations.
• Supporting the full range of Federal Law Enforcement missions including Emerging Threat Detection, Money Laundering, Fraud, Force Protection, Human Rights Crimes, and Transnational Crime.
• Participating in research and development (R&D), developing and maintaining shared capabilities, strengthening technical skills, and supporting business development efforts such as proof-of-concept projects and capabilities briefings.
Qualifications:
Required:
• United States Citizenship (essential to comply with government contract requirements).
• Ability to obtain and maintain a U.S. security clearance or agency work suitability determination, as required by assignment.
• Willingness to work full time, on-site, embedded at US Government offices in the Washington, DC area. (Specific office assignments are subject to change).
• Bachelor’s or Master’s Degree in a technical field (e.g., data science, statistics, computer science, mathematics, physical/biological sciences, or geographic information systems (GIS), etc.).
• At least 3 years of relevant experience. Relevant experience can include some combination of: Large Data Management: querying, extracting, cleaning, verifying, resolving, and maintaining data. Large Data Analysis: statistical methods, graph networks, anomaly detection, spatial analysis, pattern-of-life, sentiment analysis. Large Data Modeling: risk modeling, community detection, classification, computer vision, and general application of machine learning (ML) and artificial intelligence (AI) models. Large Data Storytelling: explaining insights and methodology to a non-technical audience, dashboards, plots & visualizations, direct experience with customers. Programming: Candidates must have practical experience writing, editing, customizing, and executing code written in Python. SQL proficiency: Candidates must have experience using SQL for data extraction, pipelining, or exploration.
• Ability to handle sensitive, confidential, or regulated data in accordance with applicable policies and requirements. Ability to interface directly with customers at all levels and be a representative of TRSS.
• Ability to work both independently and as a member of a team. Teams may include other Data Scientists or be cross-disciplinary and include Subject Matter Expert Analysts and/or Data Engineers.
• Ability to interpret customer requests and/or problem statements into clear project plans, develop project goals and methods, and to deliver actionable results within required timeframes.
Preferred:
• Current/Active government work suitability or security clearance.
• Experience working with law enforcement agencies.
• Programming skills in multiple languages other than Python (Python is a minimum requirement) including R, Java, or SQL.
• Experience with software development, including managing collaborative codebases, version control, linting/testing, containerization, and interacting with REST APIs.
Company:
Thomson Reuters delivers critical information from the financial, legal, accounting, intellectual property, science, and media markets. Founded in 2008, the company is headquartered in Toronto, CAN, with a team of 10001+ employees. The company is currently Late Stage.
Thomson Reuters Special Services (TRSS) is seeking a Data Scientist to support Federal Law Enforcement customers. The role involves collecting, analyzing, and modeling large data sets to assist in complex investigations and contribute to internal innovation efforts.
Responsibilities:
• Collecting, integrating, resolving, analyzing, modeling, and explaining large data in support of complex investigations.
• Supporting the full range of Federal Law Enforcement missions including Emerging Threat Detection, Money Laundering, Fraud, Force Protection, Human Rights Crimes, and Transnational Crime.
• Participating in research and development (R&D), developing and maintaining shared capabilities, strengthening technical skills, and supporting business development efforts such as proof-of-concept projects and capabilities briefings.
Qualifications:
Required:
• United States Citizenship (essential to comply with government contract requirements).
• Ability to obtain and maintain a U.S. security clearance or agency work suitability determination, as required by assignment.
• Willingness to work full time, on-site, embedded at US Government offices in the Washington, DC area. (Specific office assignments are subject to change).
• Bachelor’s or Master’s Degree in a technical field (e.g., data science, statistics, computer science, mathematics, physical/biological sciences, or geographic information systems (GIS), etc.).
• At least 3 years of relevant experience. Relevant experience can include some combination of: Large Data Management: querying, extracting, cleaning, verifying, resolving, and maintaining data. Large Data Analysis: statistical methods, graph networks, anomaly detection, spatial analysis, pattern-of-life, sentiment analysis. Large Data Modeling: risk modeling, community detection, classification, computer vision, and general application of machine learning (ML) and artificial intelligence (AI) models. Large Data Storytelling: explaining insights and methodology to a non-technical audience, dashboards, plots & visualizations, direct experience with customers. Programming: Candidates must have practical experience writing, editing, customizing, and executing code written in Python. SQL proficiency: Candidates must have experience using SQL for data extraction, pipelining, or exploration.
• Ability to handle sensitive, confidential, or regulated data in accordance with applicable policies and requirements. Ability to interface directly with customers at all levels and be a representative of TRSS.
• Ability to work both independently and as a member of a team. Teams may include other Data Scientists or be cross-disciplinary and include Subject Matter Expert Analysts and/or Data Engineers.
• Ability to interpret customer requests and/or problem statements into clear project plans, develop project goals and methods, and to deliver actionable results within required timeframes.
Preferred:
• Current/Active government work suitability or security clearance.
• Experience working with law enforcement agencies.
• Programming skills in multiple languages other than Python (Python is a minimum requirement) including R, Java, or SQL.
• Experience with software development, including managing collaborative codebases, version control, linting/testing, containerization, and interacting with REST APIs.
Company:
Thomson Reuters delivers critical information from the financial, legal, accounting, intellectual property, science, and media markets. Founded in 2008, the company is headquartered in Toronto, CAN, with a team of 10001+ employees. The company is currently Late Stage.
What Thomson Reuters employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom