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Executive Data Science Analytics Jobs in Washington

GDIT

Data Science Analyst

Springfield, VA

$133K - $180K/yr

Yes We are seeking a Data Science Analyst/Engineer to join our Program working with the Data Engineering Team responsible for integrating new Data Stores and building the Metadata Application Profile ...

New

Fannie Mae

Audit Data Science Advisor

Washington, DC

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 ...

Fanniemae

Audit Data Science Advisor

Washington, DC

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 ...

Fanniemae

Audit Data Science Advisor

Reston, VA

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 ...

Allegis Group

Lead Data Scientist

Hanover, MD · On-site

Mentor team members on analytics best practices and data science principles. * Presents findings to ... Data Storytelling & Executive Communication Benefits Overview: Benefits are subject to change and ...

Allegis Group

Lead Data Scientist

Hanover, MD · On-site

Mentor team members on analytics best practices and data science principles. * Presents findings to ... Data Storytelling & Executive Communication Benefits Overview: Benefits are subject to change and ...

Td

Senior Manager, Data Science - FCRM Modeling

Vienna, VA · On-site

$123K - $201K/yr

Analytics, Insights, & Artificial Intelligence ATTENTION: This role is not eligible for TD work ... Facilitates key strategic discussions and provides thought leadership to executive audience (output ...

Allegis Group

Lead Data Scientist

Hanover, MD · On-site

Mentor team members on analytics best practices and data science principles. * Presents findings to ... Data Storytelling & Executive Communication Benefits Overview: Benefits are subject to change and ...

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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 data science analytics a high paying job?

Data science analytics roles, including positions like Executive Data Science Analytics, are generally considered high-paying within the tech and data industries. Salaries depend on experience, location, and skills such as proficiency in Python, R, or machine learning tools, but they typically offer competitive compensation compared to many other fields.

What jobs can I get with an executive data science analytics degree?

An executive data science analytics degree prepares individuals for senior roles such as Data Science Director, Analytics Manager, or Chief Data Officer, focusing on leadership, strategic decision-making, and advanced analytics skills. These roles often require experience with tools like Python, R, and SQL, as well as strong business acumen and project management capabilities.

What is an executive data science analytics?

An executive data science analytics role involves leading data analysis projects to inform strategic decision-making within an organization. It requires strong skills in data modeling, visualization, and communication, often utilizing tools like Python, R, or Tableau, and typically involves overseeing teams or initiatives at a high level.
What are the most commonly searched types of Data Science Analytics jobs in Washington? The most popular types of Data Science Analytics jobs in Washington are:
Executive Data Science Analytics jobs near you

Data Science Analyst

GDIT

Springfield, VA

$133K - $180K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New

General Dynamics Information Technology rating

7.8

Company rating: 7.8 out of 10

Based on 63 frontline employees who took The Breakroom Quiz

88th of 223 rated it services

Job description

Type of Requisition:

Regular

Clearance Level Must Currently Possess:

Top Secret/SCI

Clearance Level Must Be Able to Obtain:

Top Secret SCI + Polygraph

Public Trust/Other Required:

None

Job Family:

Data Science and Data Engineering

Job Qualifications:

Skills:

Data Management, Metadata Standards, Visualization

Certifications:

None

Experience:

5 + years of related experience

US Citizenship Required:

Yes

Job Description:

We are seeking a Data Science Analyst/Engineer to join our Program working with the Data Engineering Team responsible for integrating new Data Stores and building the Metadata Application Profile (MAP) that aligns attributes from various Data Stores into a Search & Retrieval System, enabling discovery of imagery and data for analysis.

This position focuses on metadata maintenance activities for the integration of metadata between systems and the associated API to enable discovery of data across the Enterprise and the Intelligence Community.

Duties:

  • Work closely with the Lead Data Engineer to build and maintain theMAP, assess metadata quality, plan and coordinate metadata enhancement and remediation.
  • Determine/monitor MAP accuracy by conducting queries against data holdings in native systems and using the System User Interface (UI), API, Postgres and Elasticsearch database applications.
  • Support Systems Engineers and Software Developers by creating design documents for new Data Stores which identify the metadata fields, service specifications, volumetrics and standards needed to integrate into the Search and Discovery System.
  • Maintain an ongoing working relationship with government data stewards and system Data Store owners to inform end-user satisfaction and to keep abreast of attribute changes.
  • Investigate and respond to tickets/issues associated with metadata discrepancies or mapping.

Required:

  • At least 5 years of experience with data management, transformation, visualization, analysis, metadata standards, and organization techniques and tools.
  • At least 5 years of experience with search tools, search results organization and the implications of metadata organization, indexing and catalog content.
  • Bachelor's degree in systems Engineering or in related technical or scientific fields such as engineering, physics, mathematics, operations research, engineering management, Computer Science, Information Technology, Business, Management Information Systems, or related STEM degree program, or an additional 4 years of related data/systems engineering experience.
  • MS Degree and 10+ years of relevant experience
  • Excellent communication, analytical, problem solving, and organizational skills with the ability to present information and ideas clearly and concisely.
  • Strong technical skills, interest in technology, and the ability to troubleshoot simple technology problems, failures, or deficiencies.
  • Excellent skills with Microsoft office tools (Excel, PowerPoint, Notepad++)
  • Certifications: Security +, Network+, or A+ are preferred. Ability to obtain one of these certifications within 6 months of start date if not currently in hand.
  • Clearance Required: Active TS/SCI clearance with CI Poly

Desired:

  • At least 5 years of experience with customer imagery and data repositories, products, data types, and uses.
  • Knowledge and at least 5 years of experience with GIS-related applications and tools.
  • Comfortable with:
    • Postgres and Elasticsearch (build queries, analyze results)
    • GitLab (review code, recommend data remediation changes)
    • Openshift Container Platform (OCP) (approve merge requests)
    • Working in an Agile Software Development environment

Location: Company Site

US Citizenship Required


GDIT IS YOUR PLACE
At GDIT, the mission is our purpose, and our people are at the center of everything we do.
Growth: AI-powered career tool that identifies career steps and learning opportunities
Support: An internal mobility team focused on helping you achieve your career goals
Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off
Community: Award-winning culture of innovation and a military-friendly workplace
OWN YOUR OPPORTUNITY
Explore a career in data science and engineering at GDIT and you'll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges.

The likely salary range for this position is $133,450 - $180,550. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Scheduled Weekly Hours:

40

Travel Required:

None

Telecommuting Options:

Onsite

Work Location:

USA VA Springfield

Additional Work Locations:

USA MO St. Louis

Total Rewards at GDIT:

Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

Our Identity Verification Process:

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.

About Our Work:

We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.Join our Talent Community to stay up to date on our career opportunities and events at

gdit.com/tc.

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

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About General Dynamics Information Technology

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GDIT is a global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense, and intelligence community. Its 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. The company operates across 50+ countries worldwide, offering leading capabilities in digital modernization, AI/ML, cloud, cyber, and application development.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Falls Church, VA, US

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