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International Data Scientist Jobs (NOW HIRING)

Elder Research

Data Scientist

Arlington, VA · On-site

... international Corporation seeks a motivated, career and customer-oriented Data Scientist to join our team in Arlington, VA. This role is a remote role preferably in the Washington DC area. As a Data ...

Elder Research

Data Scientist

Arlington, VA · On-site

... international Corporation seeks a motivated, career and customer-oriented Data Scientist to join our team in Arlington, VA. This role is a remote role preferably in the Washington DC area. As a Data ...

Elder Research

Data Scientist

Arlington, VA · On-site

... international Corporation seeks a motivated, career and customer-oriented Data Scientist to join our team in Arlington, VA. This role is a remote role preferably in the Washington DC area. As a Data ...

Elder Research

Data Scientist

Arlington, VA · On-site

... international Corporation seeks a motivated, career and customer-oriented Data Scientist to join our team in Arlington, VA. This role is a remote role preferably in the Washington DC area. As a Data ...

Elder Research

Data Scientist

Arlington, VA

... international Corporation seeks a motivated, career and customer-oriented Data Scientist to join our team in Arlington, VA. This role is a remote role preferably in the Washington DC area. As a Data ...

Elder Research Inc.

Data Scientist

Virginia, MN · On-site

$95 - $130/hr

Hybrid Time Type: Full time Data Scientist - Hybrid (Raleigh, NC or Washington DC) Elder Research Inc., a wholly owned subsidiary of MANTECH International Corporation, seeks a motivated, career and ...

ManTech

Data Scientist

Fort Walton Beach, FL · On-site

Description & Requirements Elevate your career with MANTECH International Corporation! Join a ... The Data Scientist will leverage their strong technical background and knowledge to interpret and ...

Elder Research

Data Scientist

Arlington, VA · Hybrid

... international Corporation seeks a motivated, career and customer-oriented Data Scientist to join our team in Arlington, VA. This is a hybrid position with several days onsite per month as needed. You ...

SOSi

Data Scientist

OR · On-site +1

SOSi is seeking a Data Scientist to support mission requirements for a structured approach to ... traditional international partners to enable real-time information sharing, dynamic data ...

Dlapiper

Data Scientist

Houston, TX · On-site +1

Prioritizes, scopes and manages data science projects for internal stakeholders and clients ... international. Work Environment The firm's work location requirements may be modified at the firm ...

Dlapiper

Data Scientist

Seattle, WA · On-site +1

Prioritizes, scopes and manages data science projects for internal stakeholders and clients ... international. Work Environment The firm's work location requirements may be modified at the firm ...

CarGurus

Senior Data Scientist

Boston, MA

Role overview As a member of the Data Science team with a focus on CarGurus's international products, the Senior Data Scientist, International will be responsible for implementing, training and ...

Elder Research

Data Scientist

Arlington, VA · Hybrid

... international Corporation seeks a motivated, career and customer-oriented Data Scientist to join our team in Arlington, VA. This is a hybrid position with several days onsite per month as needed. You ...

Elder Research

Data Scientist

Springfield, VA · On-site

... international Corporation seeks a motivated, career and customer-oriented Data Scientist to join our team in Springfield, VA. Responsibilities include but are not limited to: * Work directly with ...

MM International

Data Scientist

New York, NY · Remote

Title: Data Scientist Location: Remote Duration 4-6 months The RBQM Data Scientist supports central monitoring and risk-based quality management (RBQM) for clinical trials. This role focuses on ...

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All JobsInternational Data Scientist Jobs

International Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do international data scientist jobs pay per year?

As of Aug 23, 2026, the average yearly pay for 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 an international data scientist?

An International Data Scientist is a professional who analyzes and interprets complex data sets from multiple countries or regions to help organizations make data-driven decisions on a global scale. They often work with multicultural teams and handle data that may be subject to different privacy laws and standards. Their role involves building predictive models, data visualization, and developing algorithms that accommodate diverse data sources and languages. International Data Scientists play a crucial role in global companies, supporting strategic decisions, market expansion, and localization efforts.

What does an international data scientist do?

An international data scientist works abroad to help businesses get value out of their data. Your responsibilities as an overseas data scientist are to collect data and information, perform data analysis, perform an audit on a business’s data, and evaluate data to help clients find solutions to their business needs. Your other duties as a data science professional working in another country include automating data collection processes, finding valuable data sources, building machine-learning algorithms and predictive models, using data visualization techniques to present information to your clients, and using ensemble modeling to combine data models.

What are the key skills and qualifications needed to thrive as an international data scientist, and why are they important?

To thrive as an International Data Scientist, you need strong analytical skills, proficiency in statistics, and expertise in data modeling, often supported by a degree in computer science, mathematics, or a related field. Familiarity with tools such as Python, R, SQL, machine learning libraries, and experience with global data privacy regulations are typically required. Cross-cultural communication, adaptability, and problem-solving abilities help you collaborate with diverse teams and address region-specific challenges. These skills are critical for extracting actionable insights from complex, multinational data sets and driving impactful business decisions on a global scale.

What are some unique challenges international data scientists face when working with global datasets?

International Data Scientists often encounter challenges related to data privacy regulations, language barriers, and cultural differences in data interpretation. Navigating varying data protection laws such as GDPR or CCPA requires a strong understanding of compliance in different regions. Additionally, datasets may contain information in multiple languages or follow diverse formatting standards, necessitating robust data cleaning and localization strategies. Collaborating with global teams also means adapting to different communication styles and time zones, which can impact project timelines and workflow.

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

AspectInternational Data ScientistData Analyst
Required CredentialsTypically requires a degree in data science, statistics, or related fields; often includes certifications in machine learning or data analysis toolsUsually requires a degree in statistics, mathematics, or related fields; certifications are optional
Work EnvironmentWorks on complex data modeling, predictive analytics, and machine learning across global datasetsFocuses on data cleaning, reporting, and basic analysis within specific projects
Employer & Industry UsageEmployed by tech companies, multinational corporations, and research institutions worldwideCommon in retail, finance, healthcare, and other industries for business insights

International Data Scientists typically handle advanced analytics and machine learning tasks on a global scale, requiring specialized skills and certifications. Data Analysts focus on interpreting data and generating reports for business decisions. Both roles are essential but differ in complexity and scope.

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States with the most job openings for International Data Scientist jobs include:

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The top searched job categories for International Data Scientist jobs are:

International Data Scientist jobs near you
Infographic showing various International Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist

Elder Research

Arlington, VA • On-site

Full-time

Re-posted 19 days ago

Job description

Data Scientist
General Information
Requisition # 716
Locations USA-VA-Arlington
Posting Date 06/12/2026
Security Clearance Required - IRS MBI
Remote Type Hybrid
Time Type Full time
Description & Requirements
Elder Research Inc., a wholly owned subsidiary of MANTECH international Corporation seeks a motivated, career and customer-oriented Data Scientist to join our team in Arlington, VA. This role is a remote role preferably in the Washington DC area.
As a Data Scientist, you will support the Internal Revenue Service's mission to improve tax compliance, fraud detection, and risk identification across large, complex tax and financial data environments. You will work directly with government clients, program managers, and technical teams to understand business and compliance challenges, design analytical approaches, and deliver data-driven solutions that inform enforcement, audit prioritization, and fraud prevention efforts.
In this role, you will develop, test, and deploy predictive and statistical models using structured and unstructured data to identify anomalies, non-compliance risk, and potential fraud within tax records and related datasets. You will contribute across the full data science lifecycle, from problem formulation and data exploration through model validation, deployment, and stakeholder communication.
Responsibilities include but are not limited to:
  • Prior programming experience, preferably in Python or R, including data exploration, feature engineering, model development, and writing modular, reusable, well-documented code within an iterative development process that includes peer review and collaboration
  • Demonstrated experience using Python, SQL, and Databricks for data analysis, modeling, statistical evaluation, and working with Markdown for technical documentation
  • Explore, clean, and wrangle large, complex datasets to uncover insights and identify opportunities for data science�driven solutions in support of assessments, gap analyses, and actionable recommendations for IRS stakeholders
  • Design, develop, test, validate, and implement quantitative and qualitative data science solutions and predictive risk models (including audit selection, refund review, and fraud prevention initiatives) that are modular, maintainable, adaptable to evolving government and regulatory requirements, and supported by robustness, sensitivity, and significance testing to ensure defensible and explainable results
  • Apply statistical and machine learning techniques (supervised and unsupervised) to anomaly detection, fraud identification, and non-compliance risk scoring to help prioritize cases based on compliance risk, fraud indicators, and business impact
  • Collaborate with clients, subject matter experts, and cross-functional teams to refine problem statements, requirements, and analytical approaches, while demonstrating the ability to work independently in a collaborative, fast-paced environment
  • Prepare and deliver technical and non-technical briefings, reports, and presentations to audiences with varying levels of analytical sophistication, translating business and compliance needs into technical solutions with strong interpersonal, written, and verbal communication skills

Minimum Qualifications:
  • Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, business, or social sciences
  • 2-10+ years of experience in data science, analytics, or a related technical field
  • Experience using version control systems (e.g., Git) and collaborative development practices
  • Strong understanding of relational databases and SQL
  • Comfortable learning new tools, methodologies, and domains, including working outside your comfort zone
  • Strong analytical mindset with a willingness to tackle complex mathematical and statistical challenges
  • Willingness to travel and work on-site at client locations as required by project needs

Preferred Qualifications:
  • Advanced degree (MS or PhD) in statistics, computer science, data science, mathematics, analytics, engineering, or related fields; experience applying advanced statistical concepts including sampling considerations, bias detection, weighting techniques, handling missing or outlier data, exploratory analysis, and longitudinal forecasting; and understanding of the data analytics lifecycle (e.g., CRISP-DM)
  • Experience with PySpark, Unity Catalog, and Jobs in Databricks, with familiarity using platforms and tools such as Databricks and AWS
  • Experience with Natural Language Processing (NLP) and text analytics applied to unstructured documents or case notes, as well as graph analytics and network analysis to identify relationships, fraud rings, or interconnected entities
  • Experience with containerization and environment management (e.g., venv, conda)
  • Experience operating in secure or remote government environments, including use of bash and command-line tools

Clearance Requirements:
  • Must currently possess an IRS Public Trust clearance with Full Background Investigation

Physical Requirements:
  • Must be able to remain in a stationary position 50%
  • Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.
  • Frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situation

About Elder Research, Inc - People Centered. Data Driven
Elder Research considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.
If you need a reasonable accommodation to apply for a position with Elder Research, please email us at careers@elderresearch.com and provide your name and contact information.

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