ZipRecruiter

Log In

1

Executive Data Science Analytics Jobs in Virginia

Fanniemae

Data Science Advisor

Reston, VA · On-site

Develop advanced analytics, AI, and data science solutions to solve complex business and technical ... Create technical strategies and executive-ready materials that communicate high-impact solutions to ...

Ampcus Inc

Senior Data Scientist

Chantilly, VA

This role combines data science, analytics engineering, artificial intelligence, and software development to: (1) Establish AI Program metrics--from conceptual definition through technical ...

ManTech

Data Analyst

Ashburn, VA

Coursework related and/or prior internship related to data science/analytics * Working knowledge of statistical modeling * Knowledge of Python, R, Scala, or JavaScript * Strong written and verbal ...

Deloitte

AI and Data Science Engineer III

Richmond, VA · On-site

$113K - $136K/yr

Lead the design, development, and delivery of analytics solutions that address complex workforce ... Design and deliver intuitive, executive-ready reports and dashboards that make complex workforce ...

Deloitte

AI and Data Science Engineer III

Mclean, VA · On-site

$115K - $139K/yr

Lead the design, development, and delivery of analytics solutions that address complex workforce ... Design and deliver intuitive, executive-ready reports and dashboards that make complex workforce ...

Elder Research

Data Scientist

Arlington, VA · On-site

Explore, clean, and wrangle large, complex datasets to uncover insights and identify opportunities for data science-driven solutions in support of assessments, gap analyses, and actionable ...

Elder Research

Data Scientist

Arlington, VA

Explore, clean, and wrangle large, complex datasets to uncover insights and identify opportunities for data science-driven solutions in support of assessments, gap analyses, and actionable ...

next page

Showing results 1-20

All JobsData Science Analytics JobsExecutive Data Science Analytics JobsExecutive Data Science Analytics Jobs in Virginia

Executive Data Science Analytics information

What is the difference between Executive Data Science Analytics vs Data Scientist?

AspectExecutive Data Science AnalyticsData Scientist
CredentialsAdvanced degrees (Master's/PhD), certifications in analytics or data scienceBachelor's or Master's in Data Science, Computer Science, or related fields
Work EnvironmentStrategic leadership, executive meetings, cross-departmental collaborationTechnical analysis, coding, model development, data exploration
Employer & Industry UsageSenior roles in corporations, consulting firms, and tech companiesTech companies, finance, healthcare, and research organizations
Search & Comparison IntentUnderstanding strategic vs technical roles, career progressionTechnical skills, daily tasks, qualifications

Executive Data Science Analytics focuses on strategic decision-making, leadership, and high-level analytics, often requiring advanced degrees and certifications. Data Scientists are more hands-on with technical analysis, coding, and model building. Both roles are vital in data-driven organizations but differ in scope, responsibilities, and work environment.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can augment their work, the need for human expertise in interpreting results, understanding business context, and communicating findings remains essential in data analysis roles.

Which is better, DS or CS?

For an Executive Data Science Analytics role, both Data Science (DS) and Computer Science (CS) backgrounds provide valuable skills. DS emphasizes statistical analysis, modeling, and data-driven decision-making, while CS focuses on programming, algorithms, and software development. The choice depends on the specific job requirements, but a strong foundation in data analysis tools and programming languages like Python or R is essential for success in this role.

Is 40 too late for data science?

Age is not a barrier to becoming an executive data science analyst; many professionals successfully transition into data science at 40 or later by acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications. Experience in related fields can also be valuable, and continuous learning is key in the evolving data science industry.

What is the highest paying job in data analytics?

In data analytics, executive roles such as Chief Data Officer (CDO) or Vice President of Data often have the highest salaries, especially in large organizations. These positions require extensive experience, leadership skills, and expertise in data strategy, analytics tools, and data governance.
What are the most commonly searched types of Data Science Analytics jobs in Virginia? The most popular types of Data Science Analytics jobs in Virginia are:
Executive Data Science Analytics jobs near you

AI, Data Science & Analytics Consultant

Guru Schools

Richmond, VA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Overview:
Job Description
AI, Data Science & Analytics Consultant
Virginia, USA (Remote / Hybrid)
Client: Government of Virginia
Overview
We are looking for an experienced AI, Data Science & Analytics Consultant to support a high-impact government technology initiative. The role focuses on data-driven decision-making, analytics, reporting, and smart technology solutions for utility and operational systems.
Key Responsibilities
  • Analyze operational and business data to generate actionable insights
  • Develop dashboards, reports, and analytics solutions
  • Design data-driven decision support systems
  • Integrate data from multiple enterprise platforms
  • Support forecasting, optimization, and analytical modeling
  • Collaborate with stakeholders to improve system performance
  • Provide documentation, training, and user support
Required Skills
  • Experience in Data Analytics, Business Intelligence, or Data Science
  • Strong knowledge of dashboards, reporting tools, and visualization
  • Experience with enterprise systems and data integration
  • Knowledge of statistical analysis and AI-driven solutions
  • Strong communication and stakeholder management skills
  • Ability to work in fast-paced project environments
Preferred Skills
  • Experience with SCADA, GIS, CMMS, AMI, or utility systems
  • Government or public sector project experience
  • Understanding of utility operations and infrastructure systems
Education
  • Bachelor's degree in IT, Computer Science, Engineering, Data Science, or related field

Skills:
Data Analytics,Data Science,Tableau,Power BI

Apply