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Temporary Junior Data Scientist Jobs (NOW HIRING)

Kochava

Data Scientist

Sandpoint, ID · On-site

... Mentor junior data scientists and actively participate in the hiring and interview process. Qualifications : Required : • 3+ years of hands-on Data Science experience. A formal degree is not ...

Kochava

Data Scientist

Sandpoint, ID · On-site

... Mentor junior data scientists and actively participate in the hiring and interview process. Qualifications : Required : • 3+ years of hands-on Data Science experience. A formal degree is not ...

Brewer Science, Inc.

Data Scientist

Rolla, MO · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Provide support to junior data scientists and assist in mentoring them in analysis techniques and tools. * Develop clear, visual reports that effectively communicate complex data findings to non ...

KPMG US

Data Scientist- Senior Associate

Orlando, FL · On-site

$55K - $55K/yr

... junior data scientists. Responsibilities : • Develop and implement core components of generative AI solutions including RAG pipelines and context engineering features within the established ...

Apex Informatics

AI Data Scientist

... junior data scientists to successfully deliver software and business value • Responsible for continuous improvement for alerts, monitors and telemetry • Communicate with stakeholders, subject ...

Brewer Science Inc.

Data Scientist

Rolla, MO · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Provide support to junior data scientists and assist in mentoring them in analysis techniques and tools. * Develop clear, visual reports that effectively communicate complex data findings to non ...

KPMG US

Data Scientist- Senior Associate

Dallas, TX · On-site

$58K - $58K/yr

... junior data scientists. Responsibilities : • Develop and implement core components of generative AI solutions including RAG pipelines and context engineering features within the established ...

4pconsultinginc

Data Scientist II

Atlanta, GA · On-site

Mentor junior data scientists and analysts * Contribute to best practices and data science ... methodologies * Stay current with emerging tools, technologies, and industry trends Required ...

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Temporary Junior Data Scientist information

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How much do temporary junior data scientist jobs pay per year?

As of Aug 15, 2026, the average yearly pay for temporary junior 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 the difference between Temporary Junior Data Scientist vs Temporary Data Analyst?

AspectTemporary Junior Data ScientistTemporary Data Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related field; some programming knowledgeBachelor's in Business, Economics, or related field; basic data skills
Work EnvironmentCollaborates with data science teams, uses programming languages like Python or RWorks with data reports, dashboards, and Excel; may use SQL
Employer & Industry UsageTech companies, startups, research institutionsFinance, marketing, retail, and other industries

Temporary Junior Data Scientists focus on building predictive models and advanced analytics, often requiring programming skills. Temporary Data Analysts primarily handle data reporting and visualization tasks. While both roles involve working with data, the Junior Data Scientist role emphasizes statistical modeling and machine learning, whereas Data Analysts focus on interpreting data for business insights.

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Temporary Junior Data Scientist jobs near you
Infographic showing various Temporary Junior Data Scientist job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $122,738 per year, or $59 per hour.

Jr. Data Scientist 00021

West Coast Consulting

Westbrook, ME

$45 - $48/hr

Full-time

Medical, Life

Re-posted 7 days ago

Job description

Job Description Hybrid -Westbrook, ME Job Description: The Machine Intelligence team in R&D is looking for an entry-level Data Scientist to develop machine learning solutions for the hematology analyzers. In this role, you will work on classification and clustering problems on tabular data, with solutions deployed on edge hardware in our analyzer platforms. You will work under the supervision of a senior data scientist who will guide your technical development and project execution.

We are looking for a curious, adaptable team player eager to build foundational skills in applied machine learning. What you can expect: Develop classification and clustering models on tabular data to support hematology analyzer capabilities Contribute to model development, evaluation, and iteration under the guidance of a senior data scientist Partner with senior team members to understand requirements, explore data, and validate model performance Document your work clearly so it can be reviewed, reproduced, and built upon by the team Deploy your solutions to edge hardware What you need to succeed: 0-2 years of experience applying machine learning to real-world problems (internships, research, and coursework projects count) Strong working knowledge of Python and common data science libraries (pandas, scikit-learn, NumPy) Solid foundation in statistics, machine learning, and algorithms Demonstrated understanding of classification and clustering methods for tabular data, including when to apply which approach and how to evaluate results Curiosity about the data and the underlying generating processes - a habit of asking "why" before reaching for a model A growth mindset and willingness to learn from more senior team members Ability to communicate analyses and results clearly to your immediate team Bachelor's degree in a quantitative field (statistics, computer science, math, engineering, or related); advanced degree a plus Nice to have: Exposure to deploying ML models on resource-constrained or edge hardware Familiarity with model optimization techniques (quantization, ONNX, TFLite) Experience with version control (Git) and collaborative software development practices Experience modeling data for medical, diagnostic or life sciences applications

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