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Temporary Data Scientist Machine Learning Jobs in Seattle, WA

PACCAR

Data Scientist

Renton, WA · On-site

$104K - $146K/yr

Build & deploy advanced analytics solutions using AI, machine learning, statistics, or other ... Masters in Data Science, Mathematics/Statistics, Computer Science, or related field preferred. * 5+ ...

PACCAR

Data Scientist

Renton, WA

$104K - $146K/yr

Build & deploy advanced analytics solutions using AI, machine learning, statistics, or other ... Masters in Data Science, Mathematics/Statistics, Computer Science, or related field preferred. * 5+ ...

PACCAR

Data Scientist

Renton, WA · On-site

$104K - $146K/yr

Build & deploy advanced analytics solutions using AI, machine learning, statistics, or other ... Masters in Data Science, Mathematics/Statistics, Computer Science, or related field preferred. * 5+ ...

Amazon

Data Scientist, Prime Video Science

Seattle, WA · On-site

The Prime Video Science team leverages the latest in machine learning and AI techniques combined ... We're looking for a Data Scientist to help us design the experiments that ground our models in ...

Helion

Principal Plasma Data Scientist

Everett, WA · On-site

They are seeking a Principal Plasma Data Scientist to develop and validate machine learning frameworks for FRC plasma modeling, integrating these tools with simulation and diagnostics pipelines to ...

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Showing results 21-40

All JobsData Scientist Machine Learning JobsTemporary Data Scientist Machine Learning JobsTemporary Data Scientist Machine Learning Jobs in Seattle, WA

Temporary Data Scientist Machine Learning information

See Seattle, WA salary details

$42.7K

$139.7K

$223.6K

How much do temporary data scientist machine learning jobs pay per year?

As of Aug 10, 2026, the average yearly pay for temporary data scientist machine learning in Seattle, WA is $139,680.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,100.00 and $154,800.00 per year, depending on experience, location, and employer.

What is the difference between Temporary Data Scientist Machine Learning vs Temporary Data Analyst?

AspectTemporary Data Scientist Machine LearningTemporary Data Analyst
Required CredentialsBachelor's/Master's in Data Science, Computer Science, or related fields; knowledge of ML algorithmsBachelor's in Statistics, Mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentProject-based, collaborative teams, tech-focused companiesBusiness units, reporting teams, data-driven departments
Employer & Industry UsageTech firms, finance, healthcare, e-commerceRetail, marketing, finance, consulting

Temporary Data Scientist Machine Learning roles focus on developing and deploying machine learning models, requiring advanced analytics skills. Temporary Data Analysts primarily interpret data, generate reports, and support decision-making. While both roles involve data handling, Data Scientists with ML expertise work on predictive modeling, whereas Data Analysts focus on descriptive analytics. The choice depends on the project needs and skill requirements.

What does a temporary data scientist specializing in machine learning do?

A Temporary Data Scientist specializing in Machine Learning is responsible for designing, building, and deploying machine learning models to analyze data and generate insights, but works on a contract or short-term basis. Their duties often include data preprocessing, model selection and validation, and communicating results to stakeholders. They may also be tasked with automating processes, cleaning large datasets, and collaborating with other teams to implement solutions. The temporary nature of the job means they often focus on specific projects or provide support during peak periods.

What are the key skills and qualifications needed to thrive as a temporary data scientist specializing in machine learning?

To thrive as a Temporary Data Scientist Machine Learning, you generally need a strong background in statistics, programming (Python or R), and experience with machine learning algorithms, often supported by a degree in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn, TensorFlow, or PyTorch), and version control systems (e.g., Git) is typically required. Strong problem-solving abilities, adaptability, and effective communication are crucial soft skills for collaborating with teams and translating technical findings to stakeholders. These skills ensure that temporary data scientists can quickly contribute actionable insights, drive data-driven decisions, and add value within a limited time frame.

What are some typical projects or tasks a temporary data scientist specializing in machine learning might work on?

As a temporary Data Scientist focusing on machine learning, you can expect to work on short-term, high-impact projects such as building predictive models, cleaning and preparing data, or developing automated analytics solutions. You may be brought in to support ongoing initiatives, provide expertise for a specific project phase, or help accelerate a backlog of tasks. Collaboration is common, and you'll likely work closely with data engineers, business analysts, and domain experts to understand requirements and deliver actionable insights within tight deadlines. This role offers exposure to diverse datasets and tools, and is an excellent opportunity to rapidly expand your experience and network.
What are popular job titles related to Temporary Data Scientist Machine Learning jobs in Seattle, WA? For Temporary Data Scientist Machine Learning jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Temporary Data Scientist Machine Learning jobs in Seattle, WA look for? The top searched job categories for Temporary Data Scientist Machine Learning jobs in Seattle, WA are:
Temporary Data Scientist Machine Learning jobs near you
Infographic showing various Temporary Data Scientist Machine Learning job openings in Seattle, WA as of June 2026, with employment types broken down into 7% Full Time, 81% Part Time, 2% Temporary, and 10% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $139,680 per year, or $67.2 per hour.

Senior Research Scientist/ Data Scientist

Comtech LLC

Seattle, WA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Senior Research Scientist/ Data Scientist

Are you interested in shaping the future of movies, television, and digital video? Do you want to define what video content customers are watching? Video Direct (VD) is a self-service platform that enables any video creator to publish video to reach millions of customers globally and monetize from the sales and consumption.

Video content risk inspection team is chartered to protect and mitigate any inappropriate/disappointing content as well as any copyright infringement content to provide a trust-worthy customer experience as well as secure existing provider relationships.

On the team you'll be able to get your hands on lots of technologies to build distributed, scalable, low-latency solutions for real-world customer facing problems. We are looking for a Senior Research Scientist who can work on different aspects of the video content, like text metadata, video, audio and images to apply from variety of techniques in computer vision, deep learning, machine learning and image processing algorithms to build content risk inspection systems. You will be contributing to a platform from the very early stages which will process terabytes of video content data. You will collaborate with other research scientist across to define the scope of the product, identify and initiate investigations of new technologies, prototype, test solutions and ability to web-lab performance between different approaches that generates a high-precision, low latency prediction models and deliver an exceptional customer experience. You will work closely with the software development teams to build robust vision-based solutions for customer-facing applications. You should be comfortable with a large degree of ambiguity and relish the idea of solving problems that, frankly, haven't been solved at scale before. Along the way, we guarantee that you'll learn a ton, have fun and make a positive impact on millions of people.

Qualifications

  • PhD in Computer Science, Machine Learning, Operational Research, Statistics or a related quantitative field
  • Depth and breadth in state-of-the-art computer vision and machine learning technologies
  • 5+ years of hands-on experience in predictive modeling and analysis
  • Strong algorithm development experience
  • Skills with Java, C++, or other programming language, as well as with R, MATLAB, Python or similar scripting language

Additional Information

  • 10+ years of relevant experience in industry and/or academia.
  • Publications at top-tier peer-reviewed conferences or journals
  • Proven track record of innovation in creating novel algorithms and advancing the state of the art
  • Depth and breadth in state-of-the-art computer vision and machine learning technologies.

Apply