ZipRecruiter

Log In

1

Mid Level International Data Scientist Jobs (NOW HIRING)

Leidos

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 ...

Battelle

Mid-level Data Scientist

Columbus, OH · On-site

$95K - $110K/yr

... scientific or mathematical field (e.g., statistics, data analysis, biology, engineering). * Strong understanding higher-level mathematics (e.g., calculus, differential equations, linear algebra)

Orchard

Data Scientist - Mid-Level

Reston, VA · On-site

The Data Scientist role involves supporting advanced analytical methodologies leveraging AI, machine learning, and data science to enhance defense intelligence programs. Responsibilities include ...

next page

Showing results 1-20

All JobsMid Level International Data Scientist Jobs

Mid Level International Data Scientist information

See salary details

$37.5K

$122.7K

$196.5K

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

As of Jul 19, 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.

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 are the key skills and qualifications needed to thrive as a Mid Level International Data Scientist, and why are they important?

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.

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 July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Mid-Level Data Scientist

Mid-Level Data Scientist

Simple Technology Solutions

Washington, DC

Full-time

Posted 9 days ago

Job description

At Simple Technology Solutions, our people are our priority. We know our team members are more than employees—they're parents, friends, volunteers, artists, and athletes. That's why we offer flexibility to help them thrive personally and professionally while delivering exceptional solutions to our Federal Government clients.

Our culture is built on collaboration, continuous learning, and excellence. We are mentors and thought leaders who share knowledge and foster growth. Recognized as a "Best Place to Work," we believe a range of perspectives helps us drive innovation and exceed customer expectations. At STS, taking care of our people isn't a perk—it's the standard.

As a HUBZone company, we also offer special incentives for team members living in qualified HUBZones. Check out the HUBZone map HERE to see if you qualify!

Simple Technology Solutions is looking for a Mid-Level Data Scientist to add to our team.

Quick Position Overview:

  • US Citizenship is required
  • Bachelor's Degree is required
  • minimum of 3-5 years' position related experience is required

The Role:

STS is looking for a Mid-Level Data Scientist to join a federal data engineering team. You will work on a modern AWS-based federal data platform, building AI/ML capabilities and delivering production-ready analytical products that support critical government decision-making. A curiosity-driven mindset, strong quantitative skills, and the ability to translate analytical outputs into production-ready data products conforming to agency standards are prerequisites for this position.

This position is contingent upon contract award.

The Mid-Level Data Scientist at STS will:

  • Build and maintain knowledge bases, vector stores, and Retrieval Augmented Generation (RAG) pipelines using Amazon Bedrock and Amazon OpenSearch Services to make financial and regulatory datasets AI-ready for advanced analytics and machine learning consumption
  • Support the development, validation, and operationalization of statistical outputs and derived data products; coordinate with the agency data science team and SME data scientists to implement Airflow DAGs and AWS Glue jobs that ensure automated, recurring updates
  • Support transition of data science outputs into production by validating accuracy, completeness, and reporting readiness; ensure all production data products are incorporated into the agency's ETL load and gap reporting infrastructure
  • Develop and validate machine learning models and analytical pipelines using large-scale financial and regulatory datasets in the data lake
  • Leverage AI-assisted development tools for code generation, debugging, and performance tuning; adhere to agency security standards and applicable federal AI governance requirements
  • Write Python 3.10 code conforming to PEP 8; integrate analytical pipelines with the agency's ETL metadata infrastructure and produce required load and gap reporting outputs
  • Support entity resolution work to ensure consistent identification and linkage of records across high-volume financial datasets
  • Produce required documentation for all analytical models and pipelines: methodology, data lineage, model assumptions, refresh schedules, and IV&V Questionnaires
  • Write automated tests achieving the 90% minimum code coverage threshold; complete security scans at least once per sprint as part of the Definition of Done per OWASP ASVS Level 2
  • Participate in 2-week sprint ceremonies, quarterly PI planning, backlog refinement, and agile delivery using JIRA and GitHub

Education and Experience:

Required

  • Bachelor's degree or higher in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field
  • 3-5 years of experience in data science, machine learning engineering, or quantitative analytics
  • Proficiency in Python 3.10 (PEP 8) including pandas, NumPy, scikit-learn, and related libraries
  • Hands-on experience with Amazon Bedrock, knowledge bases, vector stores, and RAG pipeline design on AWS
  • Experience with Amazon OpenSearch Services or equivalent vector/search infrastructure
  • Experience with Apache Airflow (MWAA) for DAG-based pipeline orchestration
  • Familiarity with AWS Glue, S3, and Apache Spark for large-scale data processing
  • Experience with SQL and query tools such as Trino, Athena, or Redshift
  • Experience working with large-scale financial or regulatory datasets is strongly preferred
  • Knowledge of federal AI governance requirements and responsible AI practices in a government setting
  • Experience with agile development, CI/CD pipelines, GitHub, and sprint-based delivery
  • Familiarity with FISMA, NIST 800-53, and Zero Trust principles
  • Must be able to work 8am-5pm Eastern Time regardless of home location
  • Active federal public trust suitability determination or ability to obtain one required
STS is committed to equal employment opportunity and merit-based employment practices. STS provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination, harassment, and retaliation in all employment practices and decisions in accordance with applicable federal, state, and local laws.

Employment decisions at STS are based on individual qualifications, performance, skills, and business needs, without regard to race, color, religion, sex, national origin, age, disability, protected veteran status, sexual orientation, gender identity, genetic information, marital status, or any other status protected by applicable law.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, compensation, training, transfer, discipline, termination, layoff, recall, and leaves of absence.
---
Applicants may request removal from our applicant database, or specific information about how the data is used by contacting recruiting@simpletechnology.io.