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Entry Level International Data Science Jobs (NOW HIRING)

Elder Research

Data Scientist

Arlington, VA · On-site

... international Corporation seeks a motivated, career and customer-oriented Data Scientist to join ... You will contribute across the full data science lifecycle, from problem formulation and data ...

Elder Research

Data Scientist

Arlington, VA · On-site

... international Corporation seeks a motivated, career and customer-oriented Data Scientist to join ... You will contribute across the full data science lifecycle, from problem formulation and data ...

The Hollister Group

Data Scientist - NYC

Boston, MA · On-site

$100 - $200/hr

Experience with machine learning or adjacent fields (natural language processing, random forests, linear regression, predictive modeling, and entry-level data science concepts) * Experience writing ...

Elder Research

Data Scientist

Arlington, VA · On-site

... international Corporation seeks a motivated, career and customer-oriented Data Scientist to join ... You will contribute across the full data science lifecycle, from problem formulation and data ...

DeFiner Inc

Collaborate closely with data analysts, data engineers, and business and project stakeholders to incorporate their expertise into data science solutions. * Present and defend results to leadership ...

Elder Research

Data Scientist

Arlington, VA · On-site

... international Corporation seeks a motivated, career and customer-oriented Data Scientist to join ... Help strengthen the client's internal data-science capability through pairing, code review ...

Elder Research

Data Scientist

Arlington, VA · Hybrid

... international Corporation seeks a motivated, career and customer-oriented Data Scientist to join ... Help strengthen the client's internal data-science capability through pairing, code review ...

MasterCard

Senior Data Scientist

Holladay, UT · On-site

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 ...

Elder Research

Data Scientist

Arlington, VA · Hybrid

... international Corporation seeks a motivated, career and customer-oriented Data Scientist to join ... Help strengthen the client's internal data-science capability through pairing, code review ...

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Entry Level International Data Science information

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How much do entry level international data science jobs pay per hour?

As of Jul 6, 2026, the average hourly pay for entry level international data science in the United States is $19.05, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $21.39 per hour, depending on experience, location, and employer.
What are the most commonly searched types of International Data Science jobs? The most popular types of International Data Science jobs are:
Entry Level International Data Science jobs near you
Data Scientist Associate

Data Scientist Associate

Science Applications International Corporation

Upper Marlboro, MD • Hybrid

$58K - $59K/yr

Other

Posted 28 days ago

SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

66th of 207 rated it services

Job description

SAIC is looking for a Data Scientist Associate to help the Identity and Data Sciences Laboratory (IDSL) which is tasked with identifying state-of-the-art technologies including facial recognition and AI, evaluating performance, and examining their applicability to existing or emerging customer use cases.   The IDSL has a cutting-edge infrastructure consisting of both on-prem distributed computing clusters and cloud based analytic environments, which we use for gathering and processing multi-modal data in real-time from large-scale experiments conducted at our test facility (Maryland Test Facility; http://mdtf.org), in field locations, as well as from external data sources.  

Hybrid - 3 Days in Office / 2 Days Remote

What You Will Be Doing:

  • Contribute to data acquisition, management, and processing tasks, working with senior data scientists, software engineers and evaluation designers to build efficient data pipelines
  • Access available infrastructure, and to develop analytic products tailored to mission user requirements
  • Work with senior team members to organize, clean, migrate and process datasets with advanced computer vision algorithms
  • Testing different LLMs
SAIC is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.

We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

Requirements:

  • A bachelor's degree in computer science, data science, or a comparative quantitative science or scheduled to obtain one by spring or summer 2026
  • Ability to obtain and maintain a public trust requiring US Citizenship
  • Proficient in programming a must (Python, C++, Golang, Java, etc.)
  • Ability to build out data pipelines as this will be the main function of role
  • Desire to learn GoLang 
  • Familiar with machine learning, data mining, and/or statistics (R, Python, etc.)
  • Familiar with source control (e.g., Git)
  • Familiar with common data formats (JSON, Parquet, XML, etc.)
  • Familiar with database technologies (SQL, NoSQL)
  • Strong communication skills, with the ability to present findings and recommendations to both technical and non-technical audience

Desired Skills:

  • Prior experience related to data engineering, data science, data architecture, and databases
  • Understanding of scaling and performance of distributed/cloud systems (AWS)
  • Understanding of data science concepts, AI/ML, automation, and scripting
  • Experience with techniques and platforms to manage, manipulate, and draw insight from large datasets (Spark, Hadoop, Databricks, etc.)

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