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Data Scientist Fulltime Jobs in Virginia (NOW HIRING)

VTG

Data Scientist

Chantilly, VA · On-site

Overview We are seeking a highly analytical and driven Data Scientist with at least 5 years of ... UNAVAILABLEEmployment Type: FULL_TIME

VTG

Data Scientist

Mclean, VA

Overview We are seeking a highly analytical and driven Data Scientist with at least 5 years of ... UNAVAILABLEEmployment Type: FULL_TIME

VTG

Data Scientist

Herndon, VA · On-site

Overview We are seeking a highly analytical and driven Data Scientist with at least 5 years of ... UNAVAILABLEEmployment Type: FULL_TIME

VTG

Data Scientist

Mclean, VA

Overview VTG is seeking a talented and experienced Data Scientist to join our dynamic and ... UNAVAILABLEEmployment Type: FULL_TIME

Elder Research

Data Scientist

Arlington, VA · On-site

Data Scientist General Information Requisition # 674 Locations USA-VA-Arlington Posting Date 03/04/2026 Security Clearance Required - IRS MBI Remote Type Hybrid Time Type Full time Description ...

Cmu

Data Scientist

Arlington, VA · On-site

Data Scientists at the SEI use advanced statistics, data analytics, machine learning, and ... Full time/Part time Full time Pay Basis Salary More Information: * Please visit "Why Carnegie ...

Elder Research

Data Scientist

Arlington, VA · On-site

Data Scientist General Information Requisition # 674 Locations USA-VA-Arlington Posting Date 03/04/2026 Security Clearance Required - IRS MBI Remote Type Hybrid Time Type Full time Description ...

Peraton

Data Scientist

Herndon, VA

$112K - $179K/yr

Responsibilities The Data Scientist utilizes expertise in discovering and analyzing complex data ... Employment Type: FULL_TIME

Elder Research

Data Scientist

Arlington, VA · On-site +1

Data Scientist General Information Requisition # 694 Locations USA-VA-Arlington OR USA-NC-Raleigh Posting Date 05/08/2026 Security Clearance Required - NONE Remote Type Hybrid Time Type Full time ...

THOMSON REUTERS

Data Scientist

Mclean, VA · Hybrid

TRSS Data Scientists serve several Federal Law Enforcement agencies by collecting, integrating ... Willingness to work full time, on-site, embedded at US Government offices in the Washington, DC ...

THOMSON REUTERS

Data Scientist

Mclean, VA · Hybrid

Willingness to work full time in a hybrid work environment in theWashingtonDC area. * Bachelor's or Master'sDegree in a technical field (e.g., data science, statistics, computer science, mathematics ...

CARFAX

Data Scientist

Centreville, VA · On-site

Join Team CARFAX as a Data Scientist Isn't it time you bragged about where you work? At CARFAX, we ... Employment Type: Full-Time

Peraton

Data Scientist

Reston, VA

$112K - $179K/yr

Responsibilities The Data Scientist utilizes expertise in discovering and analyzing complex data ... Employment Type: FULL_TIME

Peraton

Data Scientist

Herndon, VA · On-site

$112K - $179K/yr

Responsibilities The Data Scientist utilizes expertise in discovering and analyzing complex data ... Employment Type: FULL_TIME

Thomson Reuters

Data Scientist

Mclean, VA · On-site

Willingness to work full time in a hybrid work environment in the Washington DC area. * Bachelor's or Master's Degree in a technical field (e.g., data science, statistics, computer science ...

Geo Owl

Data Scientist

Springfield, VA · On-site

Ability to work on-site in Springfield, VA full-time * Proficiency with Python * Experience meeting ... Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, Physics, or related ...

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Data Scientist Fulltime information

What are the key skills and qualifications needed to thrive as a Data Scientist, and why are they important?

To thrive as a Data Scientist, you need strong analytical skills, proficiency in statistics and mathematics, and typically a degree in computer science or a related field. Mastery of programming languages like Python or R, experience with machine learning frameworks, and familiarity with data visualization and big data tools are essential. Effective communication, problem-solving, and curiosity help you translate complex data insights into actionable business strategies. These skills ensure you can extract valuable insights from data, drive informed decision-making, and deliver measurable business impact.

What are some common challenges Data Scientists face when working on cross-functional teams?

Data Scientists often collaborate with engineers, product managers, and business stakeholders to turn data insights into actionable solutions. A common challenge is bridging the gap between technical findings and business objectives, ensuring that analyses are both accurate and relevant to non-technical audiences. Additionally, aligning on data requirements and managing differing priorities across teams can require strong communication and adaptability. Building trust in data-driven recommendations is also key, as stakeholders may need context and clarity to act on insights.

What are Data Scientists?

Data Scientists are professionals who analyze and interpret complex digital data to help organizations make informed decisions. They use statistical methods, programming, and machine learning techniques to extract insights from large datasets. Data Scientists often work with data engineers and analysts to clean, process, and model data, and they communicate their findings to stakeholders through visualizations and reports. Their work is critical in fields like business, healthcare, finance, and technology, where data-driven decisions are essential.

What is the difference between Data Scientist Fulltime vs Data Analyst Fulltime?

AspectData Scientist FulltimeData Analyst Fulltime
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldsBachelor's in Statistics, Mathematics, or related fields
Work EnvironmentCollaborates with data engineering, product teams, and management on complex projectsPrepares reports, visualizations, and supports decision-making processes
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceRetail, marketing, finance, and consulting firms

Data Scientist Fulltime roles focus on building predictive models, advanced analytics, and machine learning, requiring deeper technical expertise. Data Analyst Fulltime positions primarily involve data cleaning, reporting, and visualization to support business decisions. Both roles are essential but differ in complexity and scope.

What are popular job titles related to Data Scientist Fulltime jobs in Virginia? For Data Scientist Fulltime jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Data Scientist Fulltime jobs in Virginia look for? The top searched job categories for Data Scientist Fulltime jobs in Virginia are:
What cities in Virginia are hiring for Data Scientist Fulltime jobs? Cities in Virginia with the most Data Scientist Fulltime job openings:
Data Scientist Fulltime jobs near you

Senior Data Scientist - Fulltime

Rootshell Enterprise Technologies, Inc.

Arlington, VA • On-site

Full-time

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

Job description

Position: Senior Data Scientist
Location: Arlington, VA (5 days on site)
Locals Preferred
Top 3 Skills:
8 years of data science experience Azure, Data Bricks, PySpark
Be able to communicate directly with business stakeholders
Job Description:
The Senior Data Scientist is responsible for developing and maintaining data analytics solutions and machine learning algorithms. As a senior role, the expectations are to mentor junior data scientists, further develop the data science lifecycle and best practices, and contribute to strategic discussions. The measures of an ideal candidate include communication skills, technical proficiency, collaboration, mentorship, strategic-thinking, and willingness to learn new things. This new position will be based in our Arlington, VA headquarters and report to the Director of Business Intelligence. This position is structured within IT under the Vice President of Applications.
The position will be located in Arlington, VA.
Key Responsibilities and Essential Duties:
  • Develop solutions to business problems using the data science life cycle.
  • Develop and maintain data analytics solutions and machine learning algorithms
  • Develop comprehensive project plans for implementing data science projects including solution architectures, resourcing, and dependencies.
  • Use predictive modeling and classification techniques to improve LNG production efficiency and mitigate safety or downtime risks.
  • Mine and analyze data from a data lake or data warehouse to drive optimization.
  • Work with stakeholders to identify opportunities to leverage data science to drive business solutions.
  • Understand where key decisions are needed and communicate options for solving business problems with stakeholders.
  • Provide ETL requirements to data engineers to effectively curate files for data analytics.
  • Document data science algorithms for maintainability.
  • Work with IT leadership to further define the data science life cycle and enhance the data science technology stack and architecture.
  • Design data architecture for future platform growth including data warehousing, machine learning, streaming analytics, and data visualization.
  • Assist in testing, governance, data quality, training, and documentation efforts.
  • Mentor junior data scientists and data analysts.
  • Actively engage in business stakeholder requirement workshops to understand, interpret, and translate requirements into effective technical solutions.

Job Qualifications
  • 8+ Years of practical data science/data analytics experience.
  • Bachelor's degree in computer science, Data Analytics, Engineering, Mathematics, Business, or related field of study.
  • Knowledge in cloud data analytics solutions, managing, developing, and maintaining machine learning solutions.
  • Fundamental skills in data processing languages such as SQL, Python, or Scala.
  • Knowledge in building data science solutions using cloud data services.
  • Ability to self-manage and make your own decisions.
  • Strong presentation skills to effectively communicate results of analytics to stakeholders.
  • Strong documentations skills.
  • Excellent interpersonal and communications skills, with strong critical thinking and attention to detail.
  • Strong work ethic with ability to effectively prioritize, meet deadlines, adapt to changing priorities and business needs, and succeed in a fast-paced environment.
  • Excellent attention to detail and the ability to efficiently summarize and prioritize information.
  • Preferred Qualifications
  • Experience with Azure infrastructure especially Azure Data Lake and Azure Data Factory.
  • Experience using Databricks for machine learning algorithm development
  • Experience in coding languages primarily PySpark, Python,and SQL.
  • Experience in agile development and sprint planning.
  • Experience utilizing DevOps
  • Experience working with streaming datasets/IoT.
  • Strong technical writing skills.

Apply