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International Data Scientist Jobs (NOW HIRING)

ManTech International

Data Scientist

Arlington, VA · On-site

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 ...

ManTech International

Data Scientist

Arlington, VA · On-site

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 ...

Booz Allen

International Data Solutions Analyst

Mclean, VA · Hybrid

$41.73 - $95.19/hr

International Data Solutions Analyst The Opportunity: This role powers up international operations ... As a hybrid Data Scientist and Low-Code/No-Code Solution Engineer, you get to explore rich data ...

Booz Allen

International Data Solutions Analyst

Mclean, VA · On-site

$86K - $198K/yr

International Data Solutions Analyst The Opportunity: This role powers up international operations ... As a hybrid Data Scientist and Low-Code/No-Code Solution Engineer, you get to explore rich data ...

ManTech International

Data Scientist

Arlington, VA · On-site

$75K - $127K/yr

MANTECH 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 ...

Accurant International

Data Scientist

$120K - $150K/yr

FlexEnergi, a Subsidiary of Accurant International Location: Remote (US ONLY) Status: Exempt Salary Range: $120K to $150K USD Job Title: Data Scientist Position Description We are hiring a Data ...

ManTech International

Data Scientist

Tampa, FL · On-site

... MANTECH International Corporation! Join a dynamic team dedicated to national security through ... The Data Scientist will leverage their strong technical background and knowledge to interpret and ...

ManTech International

Data Scientist

Patuxent River, MD · On-site

$128K - $214K/yr

... MANTECH International Corporation! Join a dynamic team dedicated to national security through ... As a Data Scientist on our team, you will play a key role in developing advanced Dashboard ...

ManTech International

Data Scientist

Patuxent River, MD · On-site

$141K - $236K/yr

... MANTECH International Corporation! Join a dynamic team dedicated to national security through ... As a Data Scientist on our team, you will play a key role in developing advanced Dashboard ...

ManTech

Data Scientist

Arlington, VA · On-site

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 ...

ManTech

Data Scientist

Arlington, VA · On-site

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 ...

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International Data Scientist information

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$122.7K

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How much do international data scientist jobs pay per year?

As of Sep 13, 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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Cities with the most International Data Scientist job openings:

What are the most commonly searched types of International Data Scientist jobs?

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

What are popular job titles related to International Data Scientist jobs?

For International Data Scientist jobs, the most frequently searched job titles are:

International Data Scientist jobs near you
Infographic showing various International Data Scientist job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist / Senior Data Scientist

Manhattan, NY • On-site

SupportFinity™
IT Services • 51 - 200 employees
Learn more about SupportFinity™external

$184K - $271K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 9 days ago

Key responsibilities

  • Mentor junior analysts and guide them in using advanced methods to solve challenges.

  • Analyze large datasets to produce insights, recommendations, and support decision-making.

  • Build and report on analytics experiments, dashboards, and metrics to track progress and inform stakeholders.

Job description

About the Team

The Analytics team is looking for experienced Data Scientists and Senior Data Scientists to guide measurement, strategy, and tactical decision‑making across the company. Data Scientists uncover insights and turn them into recommendations, driving decisions throughout the organization. Analytics is integral to all operational areas.

Available levels:

  • Consumer & Growth
  • Business Operations
  • Dasher & Logistics
  • Customer Experience & Integrity
  • Merchant, Ads & Sales
  • New Verticals
  • International Data Science
About the Role

As a Data Scientist at DoorDash, you will mentor other scientists and dive into large datasets to guide decision‑making. Challenges include customer acquisition, fraud, marketing, supply and demand, new city launches, marketplace efficiency, and more.

You’ll Be Excited Because You Will…
  • Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our business
  • Build full‑cycle analytics experiments, reports, and dashboards using SQL, R, Python, or other scripting and statistical tools
  • Work with and mentor junior analysts on how to use more advanced methods and solve challenges
  • Produce recommendations and use statistical techniques and hypothesis testing to validate your findings
  • Provide insights to help business and product leaders understand marketplace dynamics, user behaviors, and long‑term trends
  • Identify and measure levers to help move essential metrics and make recommendations
  • Work backwards from understanding and sizing problems to ideating solutions
  • Report against our goals by identifying essential metrics and building executive‑facing dashboards to track progress
  • Collaborate with engineering to implement, document, validate, and monitor our logging
We’re Excited About You Because You Have…
  • A degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain
  • 2+ years of experience in data analytics, consulting, or related role
  • Experience working with funnel optimization, user segmentation, cohort analyses, time series analyses, regression models, etc
  • Expertise of SQL queries, ETL, A/B Testing, and statistical analysis (e.g. hypothesis testing, experimentation, regressions) with statistical packages, such as Matlab, R, SAS or Python
  • Proficiency in one or more analytics & visualization tools (e.g. Chartio, Looker, Tableau)
  • The insight to take ambiguous problems and solve them in a structured, hypothesis‑driven, data‑supported way
Compensation

The successful candidate’s starting pay will fall within the following ranges, with additional opportunities for equity grants.

  • I4: $124,100–$182,500 USD
  • I5: $152,000–$223,500 USD
  • I6: $184,300–$271,000 USD
Benefits

DoorDash offers a comprehensive benefits package including 401(k) with matching, paid parental leave, wellness benefits, commuter benefits, paid time off, sick leave, medical, dental, vision, 11 paid holidays, disability and basic life insurance, family‑forming assistance, mental health program, and more.

Paid Time Off Details
  • For salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year.
  • For hourly roles: vacation accrues approximately 1 hour for every 25.97 hours worked, and paid sick time accrues 1 hour for every 30 hours worked.
EEO Statement

In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. DoorDash will consider all qualified applicants, including those with arrest or conviction records, in a manner consistent with applicable regulations. If you need any accommodations, please inform your recruiting contact upon initial connection.

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