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Senior Data Science Law Jobs (NOW HIRING)

Senior Data Architect

Clarksburg, WV · On-site

$66 - $88.25/hr

Data Intelligence, LLC is seeking a highly experienced Senior Data Architect - Data Science & Integration Support to support one of our federal law enforcement clients. This role is responsible for ...

Senior Data Scientist - GenAI / RAG Location: Houston, TX (Onsite - 5 Days) Type: Full-Time We are ... data science teams (ML/DL ecosystems) Develop GenAI-based enterprise knowledge solutions ...

Data science is a competitive differentiator for Nike and is fundamentally changing how the company ... WHO WE ARE LOOKING FOR We are looking for an experienced Senior Data Scientist to join our Data ...

Senior Data Scientist for Clinical Data Science Realization Team in Rahway About the Role We are seeking a Senior Data Scientist to join the Clinical Data Science Realization Team (DSRT) within the ...

Senior Data Scientist for Clinical Data Science Realization Team in Rahway About the Role We are seeking a Senior Data Scientist to join the Clinical Data Science Realization Team (DSRT) within the ...

Sr. Data Scientist

Chicago, IL · Remote

$85 - $100/hr

Senior Data Scientist Remote/Onsite : Remote Contract Pay: $85/hr - $100/hr The Senior Data ... Translate business problems in a variety of business areas into well-defined data science projects ...

This is a hands‑on senior data science role with a reliability focus. The Senior Data Scientist helps convert prioritized APM use cases into reliable production solutions by combining statistical ...

This is a hands-on senior data science role with a reliability focus. The Senior Data Scientist helps convert prioritized APM use cases into reliable production solutions by combining statistical ...

Job Title: Sr. Data Scientist Location: Irvine, CA (Hybrid - Onsite and Remote) or San Francisco ... Collaborate effectively with internal clients to translate their needs into data science use cases.

This role operates at the intersection of data science, data engineering, cloud analytics platforms ... law. #J-18808-Ljbffr

Senior Data Scientist

Manhattan, NY · On-site

$150K - $175K/yr

Collaborate with product managers and engineers to define data science requirements and integrate ... applicable law. We also consider qualified applicants regardless of criminal histories, in ...

Provide guidance on best practices and industry standards across data science and analytics, data ... by law. We also provide reasonable accommodations for individuals with disabilities in accordance ...

Senior Data Science Analyst Location: Richmond, VA (1 week in office, 1 week remote) Duration: 12 months Job ID: 178683 Job Overview: The Senior Data Science Analyst will play a critical role in ...

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Senior Data Science Law information

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How much do senior data science law jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for senior data science law in the United States is $56.81, according to ZipRecruiter salary data. Most workers in this role earn between $46.63 and $67.31 per hour, depending on experience, location, and employer.

What is a senior data science law professional?

A Senior Data Science Law professional is an expert who specializes in the intersection of data science and legal regulations. They ensure that data-driven projects and analytics comply with relevant laws such as data privacy, intellectual property rights, and ethical standards. This role often involves advising organizations on legal risks related to data collection, processing, and usage, as well as developing policies for responsible AI and machine learning practices. Senior professionals in this field work closely with both data science teams and legal departments to bridge technical and legal requirements.

What are the key skills and qualifications needed to thrive as a senior data science law professional?

To thrive as a Senior Data Science Lawyer, you need a strong background in law (Juris Doctor or equivalent), expertise in data privacy and technology regulations, and substantial experience in data science applications. Familiarity with legal research databases, compliance management tools, and statistical analysis software such as Python, R, or SAS is typically required. Exceptional analytical thinking, clear communication, and collaborative problem-solving are crucial soft skills that set professionals apart in this field. These competencies are essential to effectively bridge the gap between legal frameworks and advanced data science practices, ensuring compliance and risk mitigation for organizations.

How does a senior data science law professional typically collaborate with legal and technical teams within an organization?

A Senior Data Science Law professional acts as a bridge between data science teams and legal departments, ensuring that data-driven projects comply with relevant regulations and ethical standards. They often work closely with data engineers, analysts, and legal counsel to review data collection, usage, and privacy policies. Regular collaboration involves translating complex legal requirements into actionable guidelines for technical teams and providing legal risk assessments for new data initiatives. This interdisciplinary role requires strong communication skills and the ability to align business objectives with regulatory compliance.

What is the difference between Senior Data Science Law vs Data Science Analyst?

AspectSenior Data Science LawData Science Analyst
Required CredentialsAdvanced degrees in law, data science, or related fields; certifications in data analysis or legal complianceBachelor's or master's in data science, statistics, or related fields; certifications in data analysis tools
Work EnvironmentLegal firms, corporate legal departments, or compliance teams within tech companiesBusiness, finance, healthcare, or tech companies analyzing data for insights
Employer & Industry UsageLegal and regulatory sectors integrating data science for legal analyticsVarious industries using data analysis to inform business decisions

The main difference is that Senior Data Science Law professionals focus on applying data science within legal and compliance contexts, often requiring legal knowledge combined with data skills. Data Science Analysts primarily analyze data to generate insights across diverse industries without specialized legal expertise.

What cities are hiring for Senior Data Science Law jobs?

Cities with the most Senior Data Science Law job openings:

What are the most commonly searched types of Data Science Law jobs?

The most popular types of Data Science Law jobs are:

What states have the most Senior Data Science Law jobs?

States with the most job openings for Senior Data Science Law jobs include:

What other helpful pages are available for Senior Data Science Law?

Other pages related to Senior Data Science Law:

Senior Data Architect

Clarksburg, WV • On-site

Data Intelligence LLC
Internet Websites and Web Search Portals • 11 - 50 employees

$66 - $88.25/hr

Full-time

Re-posted 11 days ago


Job description

Data Intelligence, LLC is seeking a highly experienced Senior Data Architect - Data Science & Integration Support to support one of our federal law enforcement clients. This role is responsible for designing, developing, and maintaining enterprise database solutions, data processing systems, and data architecture that support the National Data Exchange (N-DEx) Data Science Environment and advanced analytics capabilities.
The Senior Data Architect will provide technical leadership in database architecture, data processing, automation, and analytics while supporting enterprise data quality initiatives, modernizing data management processes, and enabling secure information sharing across criminal justice systems. The ideal candidate possesses deep expertise in relational databases, data integration, scripting, cloud technologies, and enterprise data architecture within a highly secure federal environment. This position may be performed remotely or onsite in Clarksburg, West Virginia.
Key Responsibilities
  • Design, develop, and maintain enterprise database solutions supporting the N-DEx Data Science Environment and advanced analytics initiatives.
  • Develop, build, and maintain database utilities, scripts, and automation processes that improve system performance and operational efficiency.
  • Maintain, troubleshoot, and optimize enterprise databases by resolving synchronization issues, failures, access problems, and performance bottlenecks.
  • Automate routine and ad hoc reporting processes to improve reporting accuracy and operational efficiency.
  • Design, implement, and maintain tracking tools supporting enterprise projects, data integration initiatives, and data quality management.
  • Develop analytical tools and reporting solutions that support data ingest analysis, data management, and enterprise analytics.
  • Design and maintain data processing pipelines and automation projects supporting enterprise information sharing.
  • Provide subject matter expertise in enterprise data architecture, database design, and available data assets.
  • Monitor and maintain database health through optimization, storage management, data purging, and performance tuning.
  • Support and maintain the N-DEx Data Science Environment while enabling advanced analytics that identify systemic data quality issues resulting from policy, process, or technical changes.
  • Develop and maintain tools, models, and automation solutions that leverage modern data technologies and data science methodologies to generate actionable technical and business insights.
  • Develop, maintain, and update technical documentation, including:
    • Standard Operating Procedures (SOPs)
    • Technical documentation
    • Process workflows
    • White papers
    • Status reports
    • Dashboards
    • Program reports
  • Track project milestones, deliverables, and operational metrics while providing recurring reporting and updates to leadership.
  • Operate within the FBI CJIS Division's Scaled Agile Framework (SAFe) environment and actively participate in Agile Release Train (ART) activities.

Required Qualifications
Education
  • Bachelor of Science degree in Computer Science, Data Science, Information Systems, Software Engineering, Database Administration, Information Technology, or a related technical discipline.

Required Experience
Candidates must demonstrate experience in the following areas:
  • Enterprise database architecture, administration, and optimization.
  • Designing and maintaining database utilities, automation scripts, and performance enhancement solutions.
  • Database troubleshooting, synchronization, performance tuning, storage optimization, and data lifecycle management.
  • Data ingest, processing, transformation, and enterprise data integration.
  • Developing automated reporting solutions and enterprise data quality tracking tools.
  • Managing Virtual Machines (VMs) and Virtual Desktop Infrastructure (VDI) within cloud environments, including:
    • Amazon Web Services (AWS)
    • Microsoft Azure
  • Law enforcement data standards and Information Exchange Package Documentation (IEPD) specifications.
  • Software Procedural Languages (SPL), including:
    • PL/SQL
    • T-SQL
  • Software development using:
    • Java
    • Python
    • C#
    • C
    • .NET
  • Database platforms, including one or more of the following:
    • Microsoft Access
    • PostgreSQL
    • MySQL
    • Sybase
    • Firebird
    • c-tree Advanced Concurrent Engine (ACE)
    • SQL Developer
    • Other relational database systems
  • XML technologies, including one or more of the following:
    • XML
    • XSLT
    • XSD
    • DTD
  • Data standards, validation methodologies, and data quality tools.
  • Maintaining and troubleshooting enterprise data connections.
  • Developing and troubleshooting software tools and utilities using:
    • Python
    • PHP
    • JavaScript
  • Configuring and maintaining enterprise systems across:
    • Windows
    • Linux
    • Unix
  • Microsoft technologies, including one or more of the following:
    • Visual Basic for Applications (VBA)
    • Microsoft Access
    • Microsoft Excel
    • Microsoft Visio
  • Creating, implementing, and maintaining enterprise tracking tools supporting data integration and data quality initiatives.
  • Maintaining and upgrading enterprise data storage infrastructure and deploying data analysis tools and processes.

Preferred Qualifications
  • Experience supporting federal law enforcement or criminal justice information systems.
  • Familiarity with FBI Criminal Justice Information Services (CJIS) environments.
  • Experience supporting enterprise data science, analytics, and large-scale data modernization initiatives.
  • Experience with enterprise data governance, data quality management, and information sharing programs.
  • Experience working within a SAFe Agile environment.

Security Clearance
  • Active Top Secret Clearance is required.
  • Candidates must be able to maintain the required security clearance throughout employment.

Why Join Data Intelligence, LLC?
At Data Intelligence, LLC, we are committed to delivering innovative technology solutions that strengthen national security and public safety. Our professionals partner with federal agencies to modernize enterprise data environments, enhance advanced analytics capabilities, and improve secure information sharing across the criminal justice community. We foster a collaborative, mission-driven culture that values technical excellence, innovation, integrity, and continuous professional development while supporting some of the nation's most critical law enforcement missions.