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Mid Level International Data Scientist Jobs (NOW HIRING)

GRVTY

Data Scientist - Mid

Springfield, VA

$100K - $128K/yr

What Impact You'll Have We are seeking a Mid-Level Data Scientist to support mission-critical survey exploitation and data analytics efforts within the Intelligence Community. This role focuses on ...

GRVTY

Data Scientist - Mid

Springfield, VA · On-site

$100K - $128K/yr

What Impact You'll Have We are seeking a Mid-Level Data Scientist to support mission-critical survey exploitation and data analytics efforts within the Intelligence Community. This role focuses on ...

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How much do mid level international data scientist jobs pay per year?

As of Aug 10, 2026, the average yearly pay for mid level international 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 is a mid level international data scientist?

A mid level international data scientist is a professional with several years of experience in analyzing and interpreting complex datasets, often working with global or cross-border data. They utilize statistical methods, machine learning, and data visualization tools to extract insights that can inform business decisions on an international scale. Their role typically involves collaborating with teams across different countries, understanding diverse data regulations, and adapting analytical approaches to suit various cultural and regional contexts. This position requires strong technical skills, communication abilities, and an understanding of the global business environment.

How does a mid level international data scientist typically collaborate with cross-functional teams across different countries?

As a mid-level international data scientist, you will frequently work with cross-functional teams that include engineers, product managers, and business analysts located in various countries. This often involves coordinating across different time zones, adapting to diverse communication styles, and navigating cultural differences. You may participate in virtual meetings, contribute to shared data platforms, and present insights to stakeholders with varying levels of technical expertise. Building strong relationships and maintaining clear, proactive communication are key to ensuring project success and smooth collaboration.

What are the key skills and qualifications needed to thrive as a mid level international data scientist?

To thrive as a Mid Level International Data Scientist, you need a strong background in statistics, machine learning, and data analytics, typically supported by a relevant degree and experience with global datasets. Familiarity with programming languages like Python or R, data visualization tools such as Tableau or Power BI, and cloud platforms like AWS or Azure is essential. Strong problem-solving skills, cultural awareness, and effective communication across diverse teams help you stand out in this international role. These capabilities are crucial for extracting actionable insights from complex, cross-border data and collaborating effectively in multinational environments.

What is the difference between Mid Level International Data Scientist vs International Data Analyst?

AspectMid Level International Data ScientistInternational Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; some certificationsBachelor's degree in Data Analysis, Statistics, or related field; often fewer certifications
Work EnvironmentDevelops models, algorithms, and predictive analytics for global projectsPrepares reports, visualizations, and interprets data for international markets
Employer & Industry UsageTech companies, finance, consulting firms with international clientsMarket research firms, multinational corporations, international NGOs

The Mid Level International Data Scientist focuses on building models and advanced analytics for global datasets, requiring technical expertise. In contrast, the International Data Analyst primarily interprets data and creates reports for international audiences. Both roles are essential in global organizations but differ in technical depth and responsibilities.

What cities are hiring for Mid Level International Data Scientist jobs? Cities with the most Mid Level International Data Scientist job openings:
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Mid Level International Data Scientist jobs near you
Infographic showing various Mid Level International 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.

Mid-Level Data Scientist 117-007

IC-CAP LLC

Springfield, VA • On-site

Full-time

Re-posted 15 days ago

Job description

Mid-Level Data Scientist will support NSG strategies through the creation of automated collection models, dynamic analytic models, workflow automations, and any other automation processes and products as assigned. Refine, enhance and improve the operational performance of any automated solution through the evaluation of performance data, regular customer interaction, and a standardized maintenance cycle. Apply data science and visual programming tradecraft to support and streamline analysis tasks as identified by stakeholders and the Government. Enhance technical solutions to problems related to IC intelligence integration, automated collections, tipping and cueing, information sharing, and visualization. Conduct extensive collections and analytic modeling, data processing, data mining, and visualization. Conduct gap analysis on existing technologies and processes. Provide communication to customers on the progress of projects, processes, and emerging technologies as they become available. Clearly communicate data-driven findings and automation to technical and non-technical audiences. Design, integrate, and maintain Bayesian Belief Network (BBN) processes that utilize automation tools or scripts to drive predictive, activity-based automated collection. Conduct customer elicitation to identify processing problems due to procedures, tools, and services; work arounds that may need a permanent solution; and gaps in tools and technology. Train and integrate new tools, processes, and capabilities to be used in collection orchestration. Provide support for emerging requirements as assigned by the Government.
Duties may Include:
  • Support NSG strategies through the research and creation of new methods, tools, and capabilities that support automated collection models, dynamic analytic models, workflow automations, and any other automation processes and products as assigned.
  • Create and test the operational performance requirements and metrics of any automated solution through the evaluation of performance data, regular customer interaction, and a standardized maintenance cycle.
  • Create and modify data science and visual programming tradecraft to support and streamline analysis tasks as identified by stakeholders and the Government.
  • Engineer technical solutions to problems related to IC intelligence integration, automated collections, tipping and cueing, information sharing, and visualization.
  • Conduct research on emerging technologies and processes to be able to assess if they will be beneficial to the Collections Community.
  • Create tools, capabilities and workarounds based off gap analysis on existing technologies and processes.
  • Engineer, design, create, enhance, and integrate new BBN processes that utilize automation tools or scripts to drive predictive, activity-based automated collection.
  • Conduct customer elicitation to identify processing problems due to procedures, tools, and services; work arounds that may need a permanent solution; and gaps in tools and technology.
  • Engineer, adapt and create those solutions identified above.
  • Provide support for emerging requirements as assigned by the Government.
  • Implementing/Leading, ushering and executing tasks.
  • These are positions that exhibit technical proficiency in the work and should be expected to work with minimal oversight and often lead smaller teams in their service execution.
  • Should be fully capable of meeting most services without direction.
  • Work products should demonstrate consistent high quality tradecraft application.
  • Expected to assist lower-level personnel in developing tradecraft skills to meet work objectives.
  • Expected to collaborate with Government and other stakeholders in the performance of services.
  • Such collaboration should provide accurate technical information that contributes to synergized analysis that is better than the sum of the individual parts.

Education and Experience
Required:
  • Minimum of 5 years of combined experience.
  • Knowledge of GEOINT collection and associated systems
  • Must have proficiency with Python

Desired:
  • Experience with multi-INT data
  • Experience applying machine learning algorithms to intelligence data
  • Proficiency with common programming languages including JavaScript, HTML, and CSS
  • Experience with JEMA or low side equivalents (ESRI Model Builder, Alteryx, Tableau Prep)
  • Ability to learn new technologies, adapt to dynamic mission needs, and develop/test new analytic methodologies

Security Clearance:
  • Active TS/SCI Clearance and the willingness to sit for a CI polygraph, if needed

IC-CAP provides equal employment opportunities (EEO) to all applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status.

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