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Temporary Data Scientist Machine Learning Jobs in Seattle, WA

Docugami

Machine Learning / Data Scientist

Kirkland, WA · On-site

Docugami is looking for Machine Learning, Data Science and Math PhD researchers to work alongside our world-renowned science and engineering team to create a revolutionary product. We are looking for ...

Docugami

Machine Learning / Data Scientist

Kirkland, WA · On-site

Docugami is looking for Machine Learning, Data Science and Math PhD researchers to work alongside our world-renowned science and engineering team to create a revolutionary product. We are looking for ...

Nexxen

Data Scientist

Bellevue, WA · On-site

$160 - $200/hr

With experience in data science, machine learning, statistical modeling, and/or deep learning you will bring a passion for problem-solving, turning data into actionable insights, and collaboration ...

Nexxen International

Data Scientist

Bellevue, WA · On-site

$160 - $200/hr

With experience in data science, machine learning, statistical modeling, and/or deep learning you will bring a passion for problem-solving, turning data into actionable insights, and collaboration ...

Staffingine LLC

Data Scientist

Redmond, WA · On-site

We are looking for a Data Scientist with strong experience in Python, SQL, and Machine Learning. The candidate should be comfortable working with large datasets, building predictive models, and ...

Red Violet, Inc.

Applied Scientist, AI

Seattle, WA · On-site

$195K - $205K/yr

Collaborate with cross-functional teams including data scientists and search/information retrieval engineers to define project goals, requirements, and deliverables. * Apply advanced machine learning ...

Socket.dev

Data Scientist

Bellevue, WA · On-site

$160 - $200/hr

With experience in data science, machine learning, statistical modeling, and/or deep learning you will bring a passion for problem-solving, turning data into actionable insights, and collaboration ...

Expedia

Machine Learning Scientist III

Seattle, WA

Our Machine Learning and Data Science team are growing! We are looking to hire researchers and data scientists interested in breaking new ground to tackle some of the most complex customer experience ...

Nexxen International Ltd

Data Scientist

Bellevue, WA · On-site

$160K - $200K/yr

With experience in data science, machine learning, statistical modeling, and/or deep learning you will bring a passion for problem-solving, turning data into actionable insights, and collaboration ...

Conversica, Inc

Data Scientist

Seattle, WA · On-site

Conversica is seeking talented and passionate data scientists to help us evolve our artificial intelligence, machine learning and natural language processing systems and technologies. YOUR ...

PACCAR Inc

Data Scientist

Renton, WA · On-site

$104.10 - $146.63/hr

Data Scientist Company: PACCAR Requisition Summary As a Data Scientist you'll support the growth of ... Build & deploy advanced analytics solutions using AI, machine learning, statistics, or other ...

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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 24, 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 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 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 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.

Machine Learning / Data Scientist

Docugami

Kirkland, WA • On-site

Full-time

Medical, PTO

Re-posted 14 days ago

Job description

Docugami uses powerful artificial intelligence to unlock the information contained in highly varied, unstructured business documents. Business users, without IT or development projects, can immediately create custom analysis of vital document content and information from large batches of contracts, can assist users in creating new documents more efficiently and consistently, and can automatically connect information from within documents to other business systems.

Docugami started with years of R&D, and has received a $10M seed round of VC funding as well as multiple endorsements from industry leaders and publications.  The founders are seasoned ex-Microsoft engineers and leaders, some already well known in the software industry for their record of building and running $1B+ innovative software product businesses.

Docugami is looking for Machine Learning, Data Science and Math PhD researchers to work alongside our world-renowned science and engineering team to create a revolutionary product. We are looking for experienced researchers to work with our luminary science advisors on major scientific breakthroughs.

You will love this job if:

  • You love solving really challenging problems
  • You seek opportunities to see your research deployed in practice to solve real world problems and impact millions of users
  • You enjoy working at the very cutting edge of R&D
  • You want to experience an early stage startup

What you'll be responsible for:

  • Proposing solutions to the different science problems in an evolving environment
  • Collaborating with engineering and product leadership to plan and prioritize a long-term roadmap of science breakthroughs
  • Working with the engineering team who will be responsible for integrating and deploying your work in production
  • Conducting regular internal science reviews and educational sessions for the team
  • Working with our partners in academia to stay at the very forefront of R&D in our space

What we look for in a candidate:

  • More than five years of experience after completing PhD, or equivalent demonstrable industry experience
  • PhD (or equivalent experience) in areas like computer science, mathematics, statistics, electrical engineering, or related fields
  • Deep and up-to-date experience with some of the following: natural language processing (NLP), machine translation, self-supervised learning, active learning, computer vision, statistics, causal inference, and other related disciplines
  • Programming skills and familiarity of modern ML frameworks
  • Research track demonstrated by top-level journal and conference publications
  • Strong problem-solving and self management skills
  • Passion for technical and scientific excellence
  • Strong communication skills and capacity to report and disseminate results

Perks:

  • Competitive salary with stock options
  • Healthcare plan
  • Competitive vacation and leave policy
  • Unlimited in-house healthy snacks & drinks
  • Work closely with a cross-functional team of highly motivated folks with a unique range of startup, big enterprise, scientific, engineering, sales & marketing experience
  • Vibrant and inclusive company culture with frequent team-building events

About Us:

Docugami is a Seattle-area document engineering startup that transforms how businesses create and manage documents for greater productivity, compliance, and insight using breakthrough artificial intelligence. Founded in March 2018 by former senior engineering leaders from Microsoft, Docugami harnesses a wide range of artificial intelligence techniques, including natural language processing, image recognition, declarative markup, and other approaches, to enable businesses of all sizes to radically improve how they create and manage documents for greater insight, efficiency, and business impact. 

Learn more at www.docugami.com

We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to an inclusive and diverse team.

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