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Mid Level International Data Scientist Jobs (NOW HIRING)

Mid-Level Data Scientist Location: Vienna, VA Type: Contract Compensation: Hybrid - onsite and remote Responsibilities • Collaborate with senior data scientists and leaders to design and implement ...

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Mid-Level Data Scientist Location: Vienna, VA Type: Contract Compensation: Hybrid - onsite and remote Responsibilities * Collaborate with senior data scientists and leaders to design and implement ...

New

Job#: 3049606 Mid-Level Data Scientist Location: Merrifield, Virginia (Hybrid) Role Overview We are seeking a motivated and talented mid-level data scientist to join a growing digital data science ...

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Vantor is seeking a Mid-Level Data Scientist to play a key support role within the data science team, responsible for automating data workflows, cleaning and preparing large-scale datasets, and ...

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Leidos is actively interviewing for a Mid-Level Data Scientist to join our team in Springfield, VA. This team member will collect, process, and perform data analysis and deliver data driven solutions ...

Mid-Level Data Scientist

Springfield, VA · On-site

$73K - $132K/yr

Leidos is actively interviewing for a Mid-Level Data Scientist to join our team in Springfield, VA. This team member will collect, process, and perform data analysis and deliver data driven solutions ...

Vantoris seeking aMid-Level Data Scientistto play a key support role within the data science team, responsible for automating data workflows, cleaning and preparing large-scale datasets, and ensuring ...

New

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Mid Level International Data Scientist information

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$37.5K

$122.7K

$196.5K

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

As of Sep 6, 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.

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.

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 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:

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 Mid Level International Data Scientist jobs?

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

What job categories do people searching Mid Level International Data Scientist jobs look for?

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

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, 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 $122,738 per year, or $59 per hour.

Mid-Level Data Scientist

System One

Merrifield, VA • On-site

Other

Medical, Dental, Vision, Life, Retirement

Posted 3 days ago

New


Job description

Job Title: Mid-Level Data Scientist
Location: Vienna, VA
Type: Contract
Compensation:
Hybrid – onsite and remote

Responsibilities
• Collaborate with senior data scientists and leaders to design and implement predictive models and custom solutions that enhance our digital offerings.
• Partner with business units to gather requirements, understand customer needs, and develop data science solutions that address specific business challenges.
• Write efficient code in Python and SQL to manipulate and analyze data.
• Design, develop, and evaluate predictive models and algorithms with moderate to high complexity.
• Utilize traditional and machine learning techniques and tools to build a variety of models, including but not limited to logistic regression, XGBoost, neural networks, NLP, k-means clustering, ARIMA, and prophet forecasting.
• Analyze and interpret results with some complexity.
• Exercise limited judgment and discretion within defined procedures and practices.
• Develop and code modeling programs, algorithms, and automated processes.
• Use modeling and trend analysis to analyze data.
• Collaborate with team members and participate in team projects and initiatives.
• Utilize effective written and verbal communication to document and present findings.

Requirements
• 3-7 years of experience (mid-level) in data science, statistics, and data analytics.
• Ability to work with moderate to minimal supervision.
• Strong programming abilities in SQL, Python, PySpark, R, or similar languages in data exploration, data preparation, modeling, prediction, simulation, and statistical analysis.
• Experience with machine learning techniques and tools to build a variety of models, including logistic regression, XGBoost, neural networks, NLP, and clustering.
• Ability to use data and cloud environments such as Azure, Databricks, AWS, or Hadoop.
• Familiarity with project management tools such as Azure Dev Ops (ADO), or JIRA is a plus.
• Technical writing skills.
• Strong communication and data storytelling presentation skills of technical material.
• Ability to collaborate and build relationships.
• Required: Bachelor’s degree in data science, statistics, economics, mathematics, computer science, engineering, or degrees in similar quantitative fields.
• Desired: Master’s degree in data science, statistics, mathematics, or degrees in similar quantitative fields.

System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

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About System One

Sourced by ZipRecruiter

System One helps employers get work done more efficiently and economically without compromising quality. Over our 35+ year history, we've helped connect thousands of talented people with innovative companies. The excitement of a perfect fit motivates us every single day.

Industry

Business consulting services and recruiting and staffing services

Company size

5,001 - 10,000 Employees

Headquarters location

Pittsburgh, PA, US