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Full Time Data Scientist Jobs (NOW HIRING)

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 ...

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 ...

Proctor & Gamble

Data Scientist

Cincinnati, OH · On-site

$85K - $122K/yr

As a Data Scientist in our organization, you will play a crucial role in disrupting current ... Job Schedule Full time Job Number R000135859 Job Segmentation Entry Level Starting Pay / Salary ...

Battelle Memorial Institute

Data Scientist

Chantilly, VA · On-site

$135K - $180K/yr

This position is a full-time opportunity located in Chantilly, VA. Battelle's Chemical, Biological ... Responsibilities As a Data Scientist, the selected individual will apply advanced data science ...

Battelle

Data Scientist

Chantilly, VA · On-site

$135K - $180K/yr

This position is a full-time opportunity located in Chantilly, VA. Battelle's Chemical, Biological ... Responsibilities As a Data Scientist, the selected individual will apply advanced data science ...

Lorven technologies

Data Scientist

Tampa, FL · On-site

$130K - $140K/yr

Austin, TX 78757 (or) Tampa, FL 33602 - Onsite Full-Time As Data Scientist, you will spearhead the end-to-end development of sales forecasting and demand sensing models for CPG portfolios on ...

Lorven Technologies

Data Scientist

Tampa, FL · On-site

Austin, TX 78757 (or) Tampa, FL 33602 - Remote Full-Time As Data Scientist, you will spearhead the end-to-end development of sales forecasting and demand sensing models for CPG portfolios on ...

Booz Allen Hamilton

Data Scientist

Doral, FL · On-site

$112K - $257K/yr

Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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 ...

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 ...

ERC, Inc.

Data Scientist

Redstone Arsenal, AL · On-site

Job Title Data Scientist Career Level Experienced (Non-Manager) Job Type Full-Time Location RWESS - Redstone Arsenal - Huntsville, AL 35808 US (Primary) For more than 30 years, ERC has been ...

Booz Allen Hamilton, Inc.

Data Scientist

Doral, FL · On-site

$112K - $257K/yr

Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Thomson Reuters

Data Scientist

Mclean, VA · On-site

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 ...

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How much do full time data scientist jobs pay per year?

As of Aug 16, 2026, the average yearly pay for full time data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a full time data scientist?

To thrive as a Full Time Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a degree in a quantitative field. Familiarity with machine learning libraries (such as scikit-learn or TensorFlow), data visualization tools, and experience working with large datasets are important, and certifications like AWS Certified Machine Learning can be beneficial. Problem-solving, communication, and collaboration skills help data scientists translate complex findings into actionable insights for diverse teams. These skills are essential for extracting value from data, driving business decisions, and ensuring successful project outcomes.

What is a full time data scientist?

Full time data scientists are professionals who use statistical, analytical, and programming skills to extract insights and knowledge from data. They typically work with large datasets to identify trends, build predictive models, and help organizations make data-driven decisions. As full-time employees, they collaborate with other teams, maintain data pipelines, and continuously improve algorithms to solve complex business problems. Their role can span various industries, including technology, finance, healthcare, and more.

What are some common challenges full time data scientists face when working on cross-functional teams?

Full Time Data Scientists often collaborate with stakeholders from engineering, product, and business teams. A common challenge is effectively communicating complex technical concepts in a way that non-technical colleagues can understand, ensuring alignment on project goals. Additionally, balancing competing priorities—such as model accuracy versus production timelines—and managing expectations regarding data limitations can be demanding. Successful data scientists proactively foster strong relationships across teams and clarify project requirements early to overcome these challenges.
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Full Time Data Scientist jobs near you
Infographic showing various Full Time Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist

CACI International, Inc.

Alexandria, VA • On-site

Full-time

Medical, Retirement, PTO

Re-posted 18 days ago

Job description

Job Title: Data Scientist
Job Category: Intelligence
Time Type: Full time
Minimum Clearance Required to Start: TS/SCI
Employee Type: Regular
Percentage of Travel Required: Up to 50%
Type of Travel: Continental US
* * *
The Opportunity:
CACI is seeking a Data Scientist to support Joint Interagency Task Force 401 (JIATF 401). The Data Scientist will develop advanced analytical models, artificial intelligence (AI) capabilities, and machine learning (ML) solutions that transform large volumes of operational, intelligence, and mission data into predictive insights and decision-support products. This position requires expertise in statistical modeling, predictive analytics, data science methodologies, and AI-enabled technologies to support Counter-Unmanned Aircraft Systems (C-UAS) operations, capability development, operational assessments, acquisition decisions, and strategic planning efforts. The Data Scientist will leverage advanced analytics, machine learning, automation, and data fusion techniques to identify operational trends, forecast outcomes, optimize mission performance, and develop innovative analytical solutions supporting senior military and civilian leadership.
Responsibilities:
  • Develop, implement, and maintain advanced statistical models, machine learning algorithms, and AI-enabled analytical solutions supporting operational decision-making.
  • Utilize Maven Smart System (MSS), Palantir, Power BI, Python, and AI-enabled analytical platforms to develop predictive models and mission decision-support capabilities.
  • Analyze large volumes of structured and unstructured operational, intelligence, and enterprise data to identify trends, anomalies, correlations, and predictive indicators.
  • Design and develop predictive analytics, forecasting models, classification algorithms, and optimization techniques to support operational planning and resource allocation.
  • Leverage artificial intelligence, machine learning, and data science methodologies to automate information extraction, target identification, threat analysis, and operational assessments.
  • Develop dashboards, analytical visualizations, predictive data products, and executive decision-support tools that effectively communicate complex analytical findings.
  • Conduct exploratory data analysis, feature engineering, model validation, and performance optimization to improve analytical accuracy and operational effectiveness.
  • Collaborate with Data Engineers, Data Analysts, software developers, operators, intelligence analysts, and mission stakeholders to develop integrated analytical solutions supporting mission objectives.
  • Develop analytical frameworks and quantitative models to evaluate system performance, operational effectiveness, capability gaps, technology maturity, and acquisition priorities.
  • Support operational experimentation, technology demonstrations, capability evaluations, and acquisition efforts through advanced modeling and data-driven analysis.
  • Research, evaluate, and integrate emerging AI technologies, machine learning frameworks, and advanced analytical methodologies to improve mission performance.
  • Produce technical documentation, model documentation, analytical reports, executive briefings, and recommendations supporting senior military and civilian leadership.
  • Ensure analytical models comply with applicable security, governance, validation, and data integrity requirements.
  • Identify opportunities to improve AI-enabled workflows, analytical automation, predictive modeling capabilities, and enterprise decision-support systems.

Qualifications:
Required:
  • Active Top Secret/SCI Clearance.
  • MA/MS with 10+ years' experience; BA/BS with 15+ years; AA/AS with 17+ years; or HS/GED with 19+ years. Demonstrated experience applying data science methodologies to solve complex operational or enterprise challenges.
  • Experience utilizing Maven Smart System (MSS), Palantir, or similar enterprise analytics and data integration platforms.
  • Advanced proficiency with Python for data science, statistical analysis, machine learning, automation, and model development.
  • Experience developing predictive models, statistical analyses, machine learning algorithms, or artificial intelligence applications.
  • Experience utilizing Power BI or similar business intelligence platforms to develop advanced dashboards and analytical visualizations.
  • Strong understanding of supervised and unsupervised machine learning techniques, statistical modeling, predictive analytics, and data mining methodologies.
  • Experience collecting, organizing, cleansing, validating, and exploiting structured and unstructured datasets from multiple operational and intelligence sources.
  • Experience leveraging AI-enabled tools, large language models (LLMs), or advanced analytics platforms to support operational decision-making.
  • Strong proficiency with Microsoft Office Suite, including the ability to develop technical documentation, analytical reports, executive briefings, and presentation materials.
  • Ability to communicate complex analytical concepts and model outputs to senior military and civilian leadership in a clear and actionable manner.
  • Proven ability to collaborate across multidisciplinary technical and operational teams.

Desired:
  • Experience supporting Department of Defense, Intelligence Community, Homeland Security, or Counter-Unmanned Aircraft Systems (C-UAS) organizations.
  • Familiarity with intelligence data sources, sensor fusion, geospatial intelligence, operational data feeds, and mission command systems.
  • Experience supporting CJADC2, data fusion, common operating picture development, or operational decision-support systems.
  • Experience developing AI-enabled capabilities for object detection, pattern recognition, anomaly detection, predictive maintenance, threat forecasting, or autonomous systems.
  • Experience with cloud-based AI/ML environments, distributed computing, MLOps, model lifecycle management, and enterprise data governance.
  • Experience supporting operational research, capability development, technology evaluations, acquisition decision-making, or advanced mission analytics within defense organizations.

What You Can Expect:
A culture of integrity.
At CACI, we place character and innovation at the center of everything we do. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation.
An environment of trust.
CACI values the unique contributions that every employee brings to our company and our customers - every day. You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.
A focus on continuous growth.
Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy.
Pay Range:
There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.
The proposed salary range for this position is:
$94,400 - $198,200
CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

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