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Data Analyst Data Scientist Jobs (NOW HIRING)

Tharrosis seeking a Data Scientist to serve as the program's senior analytical authority, leading development and application of advanced data science methods, analytical models, and Palantir Foundry ...

We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable ...

They are seeking data science and data analytics professionals to support an Intelligence Community organization in Northern Virginia, involving tasks such as ETL, data engineering, and data-focused ...

Analyzing data to uncover hidden patterns, correlations, and trends. Modeling and Machine Learning: Developing algorithms, designing predictive models, and training them on historical data for tasks ...

Role Summary As a Data Scientist, you will support the development of analytical models, experimentation, and reporting that help improve our products and inform business decisions. Working closely ...

Data Scientist

Alexandria, VA · On-site

  • Medical

  • Retirement

  • PTO

The Data Scientist will develop advanced analytical models, artificial intelligence (AI) capabilities, and machine learning (ML) solutions that transform large volumes of operational, intelligence ...

Required : • Bachelor's degree in Data Analytics, Engineering, Computer Science, Business, or a related field • 7-10 years of experience in investment management, financial services, or a data ...

Data Scientist General Information Requisition # 674 Locations USA-VA-Arlington Posting Date 03/04 ... Demonstrated experience using Python, SQL, and Databricks for data analysis, modeling, statistical ...

Bachelor's degree in Data Analytics, Engineering, Computer Science, Business, or a related field * 5+ years of experience in investment management, financial services, or a data-intensive operations ...

Data Scientist II independently performs data analysis and modeling to support mission outcomes, providing actionable insights to government and program leadership. Data Scientist III independently ...

Data Scientist General Information Requisition # 674 Locations USA-VA-Arlington Posting Date 03/04 ... Demonstrated experience using Python, SQL, and Databricks for data analysis, modeling, statistical ...

Data Scientist

Fort Liberty, NC · On-site

$100 - $150/hr

In addition, data scientists shall interpret and analyze complex sets of data, as well as plan, execute, and manage ML projects with cloud-native platforms and advanced ML solutions. They understand ...

Description Gray Analytics is seeking a Principle Data Scientist to support the Missile Defense Agency Transformational Task Force (TF) in Colorado Springs, and will be responsible for: * Providing ...

Data Scientist

Chantilly, VA · On-site

$105K - $215K/yr

Data Scientist II independently performs data analysis and modeling to support mission outcomes, providing actionable insights to government and program leadership. Data Scientist III independently ...

Data Scientist

Cambridge, MA · On-site

$90K - $210K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

MORSE is searching for an experienced Data Scientist with expertise in data analysis, data science, and algorithm development in one or more of a variety of fields including visual classification ...

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Data Analyst Data Scientist information

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$243.5K

How much do data analyst data scientist jobs pay per year?

As of Aug 15, 2026, the average yearly pay for data analyst data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

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

AspectData AnalystData ScientistData Engineer
CredentialsBachelor's in Analytics, Statistics, or related fieldsBachelor's/Master's in Computer Science, Statistics, or related fieldsBachelor's/Master's in Computer Engineering, Software Engineering, or related fields
Work EnvironmentBusiness intelligence teams, reporting, data visualizationAdvanced analytics, machine learning, predictive modelingData infrastructure, pipelines, database management
Industry UsageCommon in finance, marketing, healthcareUsed in research, product development, AI projectsIntegral to data infrastructure across industries

Data Analysts focus on interpreting data and creating reports, while Data Scientists develop models and algorithms. Data Engineers build and maintain the data infrastructure that supports both roles. Understanding these differences helps organizations assign the right tasks to the right professionals.

What are some common challenges data analyst data scientists face when collaborating with cross-functional teams?

Data Analyst Data Scientists often work closely with stakeholders from various departments, such as marketing, product, and engineering. A common challenge is translating complex data findings into actionable insights that non-technical team members can easily understand. Additionally, aligning on project goals and managing expectations regarding timelines and data availability can require strong communication and project management skills. Building relationships and fostering open dialogue are key to ensuring successful collaboration and impactful data-driven decision-making.

Can you go from a data analyst to a data scientist?

Yes, transitioning from a data analyst to a data scientist is common and often involves gaining advanced skills in machine learning, statistical modeling, and programming languages like Python or R. Many data scientists have backgrounds in data analysis but expand their expertise through additional training, certifications, or advanced degrees such as a master's in data science or related fields.

Can a data scientist work as a data analyst?

A data scientist can often work as a data analyst since both roles involve analyzing data, but data scientists typically have more advanced skills in machine learning, statistical modeling, and programming. Transitioning may require gaining experience with tools like SQL, Excel, and visualization software, and understanding business context. The roles can overlap, but data scientists usually handle more complex data modeling tasks than data analysts.

What are the key skills and qualifications needed to thrive as a data analyst or data scientist?

To thrive as a Data Analyst or Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with tools like Python, R, SQL, machine learning frameworks, and data visualization platforms such as Tableau or Power BI is essential, along with relevant certifications. Excellent problem-solving, communication, and critical thinking skills help translate data insights into actionable business strategies. These skills and qualities are important because they enable professionals to extract meaningful insights from complex data, driving informed decision-making and organizational success.
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Infographic showing various Data Analyst 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 $165,018 per year, or $79.3 per hour.

Data Scientist

Analygence

Arlington, VA • On-site

Full-time

Posted 26 days ago


Job description

Tharros is actively pursuing an opportunity to support the Air Force Mission Assurance Construct Support (MACS) program, providing mission analysis, base assessment support, and data platform management services that strengthen the Air Force's Mission Assurance Construct.

Tharrosis seeking a Data Scientist to serve as the program's senior analytical authority, leading development and application of advanced data science methods, analytical models, and Palantir Foundry applications in direct support of Mission Assurance decision-making. Where the Senior Solutions Architect provides architectural stewardship over the data infrastructure layer, the Senior Data Science Consultant leads to the analytical application layer building sophisticated models, developing Foundry applications, and providing expert consultation on how Mission Assurance data can be exploited to inform senior-leader decisionsatenterprise scale. This individual works independently on high-visibility and mission-critical analytical efforts and may oversee the work of Data Analysts, Data Managers, and Workflow Support Specialists on assigned analytical development activities.

Key Responsibilities

  • Lead development and application of advanced data science, AI/ML, statistical modeling, predictive analytics, and automation methods to extract actionable insights from Mission Assurance assessment reports, dependency data, risk records, and related stakeholder documentation.
  • Design, build, and sustain analytical models that support COA analysis, risk prioritization, dependency mapping, mitigation effectiveness evaluation, ROI-based decision support, and enterprise-level Mission Assurance risk visibility.
  • Lead development of Mission Assurance analytical applications within Palantir Foundry, including decision-support tools, risk monitoring applications, COA comparison interfaces, dashboards, and governance preparation products.
  • Support implementation, sustainment, scaling, lifecycle management, documentation, and quality assurance of Mission Assurance data workflows, analytical models, and Foundry applications.
  • Provide senior analytical consultation to AF/A33B on how Mission Assurance data can be structured, modeled, automated, and exploited to improve decision-support products for senior Air Force and Department of War leaders.
  • Develop analytical products, dashboards, monitoring views, and interfaces that provide accurate, timely Mission Assurance information and support integration with relevant Air Force, Joint, or Department of War reporting systems.
  • Aggregate, normalize, prioritize, and analyze Mission Assurance risks and dependencies at enterprise scale to identify trends, systemic vulnerabilities, recurring dependencies, cross-mission risk drivers, and resource implications.
  • Prepare decision-support briefings, risk summaries, analytical products, and COA comparison outputs for Mission Assurance governance forums, including MACBs, SSGs, and senior-leader decision cycles.
  • Coordinate analytical development activities using Government-directed collaboration and task management platforms, including Platform One, Mattermost, Jira, and Confluence, while documenting methods, findings, and product delivery.
  • Provide technical leadership, quality review, knowledge transfer, and analytical guidance to Data Analysts, Data Managers, Workflow Support Specialists, the Program Manager, and the Senior Solutions Architect on assigned data science and application development activities.