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Senior International Data Scientist Jobs (NOW HIRING)

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 ...

Data Scientist

$120K - $150K/yr

Reporting to the Sr. Director of Engineering, this role will define how quantitative models are ... Accurant International offers innovative solutions to tackle pressing climate and energy technology ...

Senior Data Scientist

Minneapolis, MN · On-site +1

$110K - $184K/yr

We are hiring a Senior Data Scientist to help shape the next generation of advanced analytics and ... International relocation and international remote working arrangements outside of the United States ...

Overview Our International, Open Banking, Product Value Proposition Team is looking for a Senior Data Scientist to develop and drive forward Mastercard's ambitious, data-driven open banking solutions ...

The role will work closely with data engineering, data science, analytics, enterprise architecture ... About SR International INC SR International has been a leading name among the IT consulting ...

New

Data Scientist

Phoenix, AZ · Remote

$65 - $75/hr

Senior Data Scientist Location/Type: Remote (Candidate must reside in Pacific, Mountain, or Central time zone. Eastern time zone and international candidates will not be considered.) Start Date: ASAP ...

Data Scientist

Patuxent River, MD · On-site

$128K - $214K/yr

... MANTECH International Corporation! Join a dynamic team dedicated to national security through ... Ability to conduct briefings to Senior Military & Civil Service personnel * Prior experience in ...

Senior Data Scientist General Information Requisition # 718 Locations USA-VA-Arlington Posting Date ... international Corporation seeks a motivated, career and customer-oriented Data Scientist to join ...

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Senior International Data Scientist information

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$41.5K

$142.5K

$201K

How much do senior international data scientist jobs pay per year?

As of Sep 5, 2026, the average yearly pay for senior international data scientist in the United States is $142,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $166,500.00 per year, depending on experience, location, and employer.

What does a senior international data scientist do?

A Senior International Data Scientist is responsible for analyzing complex datasets from multiple countries or regions to generate actionable insights for global business strategies. They work with cross-functional teams to develop predictive models, design experiments, and ensure that data solutions are culturally and regionally relevant. In addition, they address challenges related to data privacy, multilingual data processing, and varying regulatory requirements. Their expertise helps organizations make informed decisions on an international scale and drive business growth in diverse markets.

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

To thrive as a Senior International Data Scientist, you need advanced expertise in statistical analysis, machine learning, and data modeling, usually supported by a degree in computer science, mathematics, or a related field. Proficiency with tools such as Python, R, SQL, and cloud platforms like AWS or Azure, along with experience in international data compliance and possibly certifications like Google Professional Data Engineer, is often required. Strong communication, cross-cultural collaboration, and problem-solving skills help you translate complex data insights into actionable global strategies. These skills are vital for effectively analyzing diverse datasets and driving impactful business decisions in a global context.

How does a senior international data scientist typically collaborate with global teams to ensure data consistency across regions?

A Senior International Data Scientist often works closely with data engineers, analysts, and stakeholders across multiple countries to standardize data collection and processing methods. This involves coordinating regular meetings, aligning on data definitions, and implementing centralized data governance practices. They may also lead initiatives to localize machine learning models or adapt analytics solutions to fit regional regulations and cultural nuances. Effective communication and strong project management skills are essential for navigating time zone differences and ensuring seamless collaboration.

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

AspectSenior International Data ScientistInternational Data Scientist
Required CredentialsAdvanced degree (Master's/PhD), extensive experienceDegree in data science, statistics, or related field, some experience
Work EnvironmentLeadership roles, project management, strategic planningData analysis, model development, research
Employer & Industry UsageTech companies, finance, consulting firms with senior rolesGlobal organizations, multinational companies, research institutions

The main difference is that a Senior International Data Scientist typically has more experience, leadership responsibilities, and strategic input compared to an International Data Scientist, who focuses more on data analysis and model development at an entry to mid-level.

More about Senior International Data Scientist jobs

What cities are hiring for Senior International Data Scientist jobs?

Cities with the most Senior International Data Scientist job openings:

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

The most popular types of International Data Scientist jobs are:

What states have the most Senior International Data Scientist jobs?

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

Infographic showing various Senior 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 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $142,460 per year, or $68.5 per hour.

Data Scientist / Senior Data Scientist

SupportFinity™

Manhattan, NY • On-site

$124.10 - $223.50/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday


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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