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Applied Data Science Jobs in Seattle, WA (NOW HIRING)

Outreach

Senior Applied Scientist

Seattle, WA · On-site

$140K - $175K/yr

Master's Degree, or PhD, in relevant field such as computer science, machine learning, or related disciplines * Strong foundation in statistics and experiment design, and passion for data are ...

Outreach

Senior Applied Scientist

Seattle, WA · On-site

$140K - $175K/yr

Master's Degree, or PhD, in relevant field such as computer science, machine learning, or related disciplines * Strong foundation in statistics and experiment design, and passion for data are ...

Amazon

Applied Scientist, WHS Data-Tech

Bellevue, WA

You'll join a team where science meets real-world impact. You'll design and train models for tasks ... We're a cross-functional group of applied scientists, software engineers, data engineers, and ...

Amazon

Applied Scientist, WHS Data-Tech

Bellevue, WA

You'll join a team where science meets real-world impact. You'll design and train models for tasks ... We're a cross-functional group of applied scientists, software engineers, data engineers, and ...

Dlapiper

Data Scientist

Seattle, WA · On-site +1

Bachelor's degree in computer science, data science, statistics, applied mathematics or related field Years of Experience * 5 years of relevant experience in applying data science techniques to ...

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All JobsApplied Data Science JobsApplied Data Science Jobs in Seattle, WA

Applied Data Science information

See Seattle, WA salary details

$28.1K

$159.4K

$242.4K

How much do applied data science jobs pay per year?

As of Sep 3, 2026, the average yearly pay for applied data science in Seattle, WA is $159,370.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,760.00 and $198,063.00 per year, depending on experience, location, and employer.

What is an applied data science?

An Applied Data Science job focuses on using data science techniques to solve real-world problems in business, healthcare, finance, and other industries. It involves collecting, processing, analyzing, and interpreting large datasets to extract meaningful insights. Applied data scientists use machine learning, statistical modeling, and programming skills to develop data-driven solutions. They work closely with stakeholders to implement models that drive decision-making and improve operations.

What does an applied data science do?

An Applied Data Science professional typically spends their days gathering, cleaning, and analyzing structured and unstructured data to uncover patterns and generate actionable insights. They frequently build and deploy predictive models, collaborate with business and engineering teams to define project requirements, and communicate findings through clear reports or visualizations. Additionally, they often engage in regular team meetings, contribute to ongoing process improvements, and continuously learn new technologies or methodologies to enhance project outcomes. This combination of technical and collaborative work makes the role both dynamic and highly impactful within most organizations.

What are the key skills and qualifications needed to thrive in applied data science?

To thrive in Applied Data Science, you need a strong background in statistics, machine learning, data analysis, and programming languages such as Python or R, typically evidenced by a degree in a quantitative field. Familiarity with data visualization tools (like Tableau), cloud platforms (AWS, GCP), and certifications in data science or analytics are highly valued. Effective communication, problem-solving, and teamwork are crucial soft skills to convey insights and collaborate with both technical and non-technical stakeholders. These competencies are critical for transforming complex data into actionable business strategies and driving measurable impact within organizations.

What can you do with an applied data science degree?

An applied data science degree prepares individuals for roles such as data analyst, data scientist, machine learning engineer, or business intelligence analyst. Graduates can work in industries like finance, healthcare, technology, and marketing, utilizing skills in programming, statistical analysis, and data visualization tools like Python, R, and SQL.

What are popular job titles related to Applied Data Science jobs in Seattle, WA?

For Applied Data Science jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Applied Data Science jobs in Seattle, WA look for?

The top searched job categories for Applied Data Science jobs in Seattle, WA are:

Applied Data Science jobs near you
Infographic showing various Applied Data Science job openings in Seattle, WA as of August 2026, with employment types broken down into 4% Internship, 77% Full Time, and 19% Part Time. Highlights an 89% In-person, 5% Hybrid, and 6% Remote job distribution, with an average salary of $159,370 per year, or $76.6 per hour.

Senior Applied Scientist

Outreach

Seattle, WA • On-site

$140K - $175K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 10 days ago

Job description

About Outreach
Outreach, founded in 2014, is the only complete agentic AI platform for revenue teams. Outreach infuses agentic AI, conversation intelligence, and assistive AI to power hundreds of use cases across revenue motions. From new logo prospecting to expansions, deal acceleration, driving retention, and forecasting, Outreach AI automates workflows and frees sellers to focus on more strategic conversations and actions. Revenue leaders benefit from connected account visibility, performance insights, and higher forecasting accuracy across every GTM team. World leading enterprise organizations use Outreach to power their revenue teams, including Databricks, SAP, Siemens, and Verizon to name a few.
About the Team
The Dialog Understanding and Generation team is building the industry's most advanced agentic AI capabilities for revenue orchestration, the end-to-end coordination and execution of sales and customer engagement workflows. Our mission is to transform raw customer interactions and CRM data into structured intelligence that powers the entire revenue lifecycle.
We operate at the intersection of machine learning, LLM-powered systems, and cloud-scale engineering, driving both current and next-generation AI initiatives at Outreach.
We are a team of applied data scientists who thrive on solving complex scientific and engineering challenges. The work is roughly an even split between applied ML research and production engineering, so you should be excited about both. You'll collaborate closely with exceptional engineers and product managers in a fast-moving, high-impact environment, applying your creativity and expertise to build innovative solutions that push the boundaries of agentic AI.
Your Daily Adventures Will Include:
  • Building AI-powered systems that process voice streams and real-time transcriptions to extract structured intelligence, contextual signals, and actionable insights.

  • Engineering high-availability AI pipelines across distributed, cross-team components to ensure reliable, low-latency agentic workflows.

  • Collaborating with stakeholders to ensure customers have the AI-driven capabilities and tools they need to succeed on the Outreach platform.

  • Rapidly prototyping ML and LLM solutions to validate approaches and accelerate iteration on complex, ambiguous problems.

  • Optimizing across the stack to maximize ROI for key pain points, from model architecture to service orchestration.

  • Contributing to Outreach's most visible AI surfaces, shaping how customers experience our next-generation agentic AI capabilities.

Our Vision Of You:
  • 2 years of hands-on experience implementing machine learning and NLP systems, including LLM-based architectures, text classification, entity recognition, dialog, and agentic AI workflows

  • Master's Degree, or PhD, in relevant field such as computer science, machine learning, or related disciplines

  • Strong foundation in statistics and experiment design, and passion for data are essential for success in this role

  • Proficiency in Python, Java or Go or C++, along with strong software engineering skills

  • Experience developing and deploying cloud-based AI applications

  • Familiar with continuous-deployment projects

  • A collaborative mindset and willingness to support and elevate teammates

  • Ability to prioritize effectively and deliver incrementally in fast-moving environments.

  • Ability to quickly learn new technologies, frameworks, and LLM-related tooling.

Preferred Qualifications:
  • Experience with speech-to-text systems or real-time audio/voice processing.

  • Familiarity with agentic AI frameworks or tool-use patterns in LLM systems.

  • Experience building low-latency, high-availability ML serving infrastructure.

  • Track record of taking ML models from prototype to production at scale.

$140,000 - $175,000 a year
The annual base salary range for this role is $140,000-$175,000 USD. You may also be offered incentive compensation, bonus, restricted stock units, and benefits. Actual compensation is based on factors such as the your skills, qualifications, and experience. We also have a location-based compensation structure; there may be a different range for candidates in other locations.
Why You'll Love It Here
• Flexible time off
• 401k to help you save for the future
• Generous medical, dental, and vision coverage for full-time employees and their dependents
• A parental leave program that includes options for a paid night nurse, and a gradual return to work
• Infertility/ assisted reproductive services benefit
• Employee referral bonuses to encourage the addition of great new people to the team
• Snacks and beverages in the Office, along with fun events to celebrate
• Diversity and inclusion programs that promote employee resource groups like Outreach Women's Network, Latinx community, Outreach Black Connection, AAPI community, Pride/LGBTQIA+, Gender+, Disability Community, and Veterans/Military
Outreach is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Our success is reliant on building teams that include people from different backgrounds and experiences who can elevate assumptions and ideas with fresh perspectives. We're dedicated to hiring the whole human, not just a resume. To that end, we look for a diverse pool of applicants-including those from historically marginalized groups. We would like to invite you to apply even if you don't think you meet all of the requirements listed below. We don't want a few lines in a job description to get between us and the opportunity to meet you.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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