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Mid Level International Data Scientist Jobs (NOW HIRING)

Bluehawk, LLC

Data Scientist - Mid-Level

Pearl City, HI · On-site

$80 - $120/hr

Overview The Data Scientist enables advanced analytics and data-driven decision-making across the ... level coordination boards, and technical exchange meetings. Qualifications Education * Bachelor ...

Fairygodboss

Mid-Level Data Scientist

Springfield, VA · On-site

$85 - $110/hr

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 ...

RapidIT, Inc

Data Scientist

Vienna, VA · On-site

Mid-Level Data Scientist Location: Vienna, VA (hybrid) Position Type: Contract Qualifications 3-7 years of experience (mid-level) in data science, statistics, and data analytics Ability to work with ...

Cintel Inc

Data Scientist Mid

Huntsville, AL · On-site

$110 - $150/hr

We are seeking a Mid-Level Data Scientist to support scientific and technical efforts through the application of data science, statistical methods, modeling, and computational techniques. This role ...

Cintel, Inc.

Data Scientist Mid

Huntsville, AL

We are seeking a Mid-Level Data Scientist to support scientific and technical efforts through the application of data science, statistical methods, modeling, and computational techniques. This role ...

Cintel Inc

Data Scientist Mid

Huntsville, AL · On-site

We are seeking a Mid-Level Data Scientist to support scientific and technical efforts through the application of data science, statistical methods, modeling, and computational techniques. This role ...

Cintel Inc.

Data Scientist Mid

Huntsville, AL · On-site

We are seeking a Mid-Level Data Scientist to support scientific and technical efforts through the application of data science, statistical methods, modeling, and computational techniques. This role ...

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Mid Level International Data Scientist information

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

As of Sep 7, 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:

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, 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.

Data Scientist - Mid-Level

Bluehawk, LLC

Pearl City, HI • On-site

$80 - $120/hr

Other

Re-posted 2 days ago

Job description

Overview

The Data Scientist enables advanced analytics and data-driven decision-making across the Joint Intelligence Operations Center (JIOC). This role applies scientific, statistical, and computational techniques to process, structure, and analyze large volumes of multi-source intelligence data. The Data Scientist builds and deploys AI/ML models, advanced automation solutions, and predictive analytics capabilities that enhance intelligence processes, strengthen situational awareness, and directly support operational planning and critical warfighting functions.

This position requires strong quantitative skills, experience with large and complex datasets, and the ability to collaborate with analysts, engineers, and mission partners to develop high-impact solutions that drive intelligence insight and operational advantage.

Responsibilities
  • Perform complex statistical analysis, modeling, and data mining to extract actionable insights from diverse intelligence datasets.
  • Design, develop, and implement advanced data visualizations to support all aspects of JIOC intelligence operations.
  • Build and validate statistical and predictive models to identify trends, patterns, and relationships across multi-INT sources.
  • Develop and contribute to AI/ML algorithms, automation workflows, and intelligent systems that enhance mission effectiveness.
  • Conduct exploratory data analysis across internal and external datasets to support analytic findings and operational planning.
  • Create automated processes for data ingestion, conditioning, and integration to streamline intelligence production.
  • Collaborate with intelligence analysts, data engineers, and computer scientists to improve data workflows and develop new analytical capabilities.
  • Develop algorithms, scripts, and tools to automate manual processes and enhance analytic efficiency.
  • Improve data quality, searchability, metadata structures, and predictive capabilities across intelligence repositories.
  • Apply experimental design principles to test hypotheses and evaluate intelligence processes.
  • Recommend improvements to data architectures, workflows, and analytic capabilities across the enterprise.
  • Conduct system analyses to define technical requirements for new or enhanced intelligence databases and applications.
  • Identify data redundancies, gaps, and inefficiencies and develop solutions to optimize integration and accessibility.
  • Participate in intelligence planning conferences, capability development sessions, working groups, national-level coordination boards, and technical exchange meetings.
Qualifications

Education

  • Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.

Required Skills

  • Proficiency in Python, R, SQL, or similar programming languages.
  • Experience with data visualization platforms such as Power BI or Tableau.
  • Strong understanding of statistical techniques and modeling approaches.
  • Foundational knowledge of AI/ML concepts and applications.
  • Experience working with relational and/or NoSQL databases.
  • Familiarity with cloud-based big data technologies.
  • Ability to explain complex technical findings to non-technical audiences.
  • Understanding of intelligence analysis processes and mission requirements.
  • Experience working with structured and unstructured datasets in complex environments.

Experience

  • Minimum of 3 to 5 years of experience in data science, analytics, machine learning, or related technical fields.
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