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Analytics Data Scientist Jobs (NOW HIRING)

Tharros is 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 ...

Senior Data Scientist

Baltimore, MD ยท On-site

$120 - $160/hr

The Senior Data Scientist will design, develop, and maintain data-driven solutions that support ... This role will leverage advanced analytics, data modeling, automation, and data engineering methods ...

This role will leverage advanced analytics, data modeling, automation, and data engineering methods ... Bachelor's degree in data science, computer science, statistics, mathematics, engineering ...

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Data Science is at the core of our business, so this team has true ownership and impact over ...

Data Scientist

Virginia, MN ยท On-site

$90 - $130/hr

Experience with data exploration, data cleaning, data analysis, data visualization, data science, or data mining * Experience with statistical and general-purpose programming languages for data ...

New

Data Scientist LCAT: Mid Locations: DIAC, Joint Base Anacostia Bolling Shift: No Required clearance ... Experience with data analytics, data mining, statistical analysis, or AI/ML Desired qualifications

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 ...

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Data Science is at the core of our business, so this team has true ownership and impact over ...

Innovizant LLC, is a Full-service IT provider, focused on delivering Innovative and value driven business analytical solutions leveraging data science, data engineering and decision science to ...

Responsible for data analytics / data science on massive sets of complex and, sometimes ... unstructured data to prepare for statistical analysis. * Manipulates or converts data according to ...

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Data Science is at the core of our business, so this team has true ownership and impact over ...

Data Scientist

Atlanta, GA ยท On-site

$95 - $110/hr

Data Scientist Revenue Analytics is a SaaS company that helps companies make better revenue decisions in pricing, products, and promotions. Our analytics solutions drive measurable revenue uplift and ...

Data Scientist

Dayton, OH ยท On-site

$77K - $176K/yr

On our team, you'll use your analytical skills and data science knowledge to create real-world impact. You'll work closely with your clients to understand their questions and needs, and then dig into ...

Responsible for data analytics / data science on massive sets of complex and, sometimes ... unstructured data toprepare for statistical analysis. * Manipulates or converts data according to ...

They are seeking a Data Scientist to support data science and analytics for an Intelligence Community organization in Northern Virginia, involving tasks such as data engineering, analytics, and ...

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 ...

Innovizant LLC, is a Full-service IT provider, focused on delivering Innovative and value driven business analytical solutions leveraging data science, data engineering and decision science to ...

Overview VTG is seeking a talented and experienced Data Scientist to join our dynamic and ... Collect, clean, and analyze large, complex datasets from multiple sources. * Develop and implement ...

Showing results 41-60

Analytics Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do analytics data scientist jobs pay per year?

As of Aug 8, 2026, the average yearly pay for analytics 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 an analytics data scientist?

To thrive as an Analytics Data Scientist, you need a strong foundation in statistical analysis, data modeling, and programming languages such as Python or R, usually backed by a degree in a quantitative field. Proficiency with tools like SQL, machine learning frameworks (e.g., scikit-learn, TensorFlow), and data visualization platforms like Tableau is expected. Critical thinking, effective communication, and problem-solving skills help you translate complex data insights into actionable business recommendations. These competencies are essential for driving data-driven decisions that support organizational objectives and innovation.

What does an analytics data scientist do?

An Analytics Data Scientist uses data analysis, statistical modeling, and machine learning techniques to help organizations extract insights from large datasets. They identify trends, create predictive models, and provide actionable recommendations to improve business outcomes. Their work involves cleaning and processing data, developing algorithms, and presenting findings to stakeholders in a clear and concise manner.

How does an analytics data scientist typically collaborate with stakeholders across different departments?

Analytics Data Scientists frequently work closely with cross-functional teams, including business analysts, product managers, and IT professionals. They translate complex data findings into actionable insights tailored to each department's goals. Regular communication is essential, as they often present data-driven recommendations to non-technical audiences and adjust their analyses based on stakeholder feedback. This collaborative environment helps ensure that data-driven strategies align with business objectives and drive measurable impact.

Is data analytics a high demand job?

Data analytics is a high-demand field, with organizations across industries seeking skilled data scientists to interpret large datasets, improve decision-making, and develop predictive models. The role often requires proficiency in tools like SQL, Python, or R, and the demand is expected to grow as data-driven strategies become more central to business operations.

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

AspectAnalytics Data ScientistData Analyst
Required SkillsStatistical analysis, machine learning, programming (Python, R)Data visualization, SQL, basic statistics
Work EnvironmentAdvanced analytics, predictive modeling, data science projectsReporting, data cleaning, descriptive analysis
Common EmployersTech companies, finance, healthcareRetail, marketing, business services

While both roles analyze data to support business decisions, Analytics Data Scientists focus on building predictive models and advanced analytics, whereas Data Analysts primarily handle data reporting and descriptive analysis. The roles often overlap but differ in complexity and technical depth.

More about Analytics Data Scientist jobs
What cities are hiring for Analytics Data Scientist jobs? Cities with the most Analytics Data Scientist job openings:
Infographic showing various Analytics Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist

Analygence

Arlington, VA โ€ข On-site

Full-time

Posted 20 days ago


Job description

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.
Tharros is 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 decisions at enterprise 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.

Requirements
  • Master's degree
  • Active TS, eligible for SCI
  • More than ten years of professional experience in any career field, discipline, or industry.
  • Ability to perform functional duties independently and provide technical oversight to less senior staff assigned to data science and application development activities.
  • Palantir Foundry Application Developer Certification.
  • Demonstrated experience developing analytical applications within Palantir Foundry or comparable enterprise data platforms, including design, build, testing, sustainment, and documentation of decision-support tools and analytical interfaces.
  • Demonstrated experience applying advanced data science methods, including AI/ML, statistical modeling, predictive analytics, or automation, to operational or mission-focused analytical problems in a Department of
  • Defense environment.
  • Experience developing ROI-based analytical models, COA comparison frameworks, risk prioritization approaches, or comparable decision-support products for senior military or civilian leadership.
  • Experience providing senior analytical consultation to Government program leadership on data science methods, model design, analytical product strategy, and decision-support modernization.