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Phd Scientist Jobs in Renton, WA (NOW HIRING)

PhD with 3+ years, MS or MA with 6+ years, or BS or BA with 8+ years of data science or quantitative modeling experience. * 3-8+ years of experience with a focus on infrastructure, cloud environments ...

PhD or Masters in Physics, Chemistry, Optical Science and Engineering, Electrical Engineering, or relevant technical field. Must obtain work authorization in the country of employment at the time of ...

PhD or Masters in Physics, Chemistry, Optical Science and Engineering, Electrical Engineering, or relevant technical field. Must obtain work authorization in the country of employment at the time of ...

Data Scientist

Bellevue, WA · On-site

$160 - $200/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

MS/PhD in Computer Science, Engineering, Statistics, Mathematics or a related technical field. * MarTech/AdTech experience preferred; expertise with AdTech SSPs is a strong plus. * Experience in ...

New

Senior Applied Scientist, APEX

Bellevue, WA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Basic Qualifications - PhD/MS in Computer Science, Electrical Engineering, Machine Learning, Natural Language Processing, or a related technical field, OR Master's degree with 5+ years of relevant ...

... or PhD preferred) in statistics, mathematics, economics, operations research, computer science, or another quantitative discipline • Strong communication and collaboration skills -- you're ...

... PhD degree or equivalent experience - Experience with science outreach programs Apply online for immediate consideration, please send your updated resume, and contact info via email praful.salunkey ...

Data Scientist

Seattle, WA · On-site

$157K - $212K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

OR a PhD in Economics, Statistics, Computer Science, or related quantitative field * Proficiency in SQL * Proficiency with Python or R * Strong foundation in experimentation and causal inference ...

They are seeking a Research Scientist in the Robotics Team to develop and investigate core research ... Required : • A strong foundation (typically PhD level) in one or more of the following areas ...

Showing results 21-40

Phd Scientist information

See Renton, WA salary details

$42.2K

$138.1K

$221K

How much do phd scientist jobs pay per year?

As of Aug 15, 2026, the average yearly pay for phd scientist in Renton, WA is $138,059.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,800.00 and $153,000.00 per year, depending on experience, location, and employer.

What is a PhD scientist?

PhD scientists are professionals who have completed a Doctor of Philosophy (PhD) degree in a scientific field, such as biology, chemistry, physics, or engineering. They conduct original research, analyze data, and contribute new knowledge to their area of expertise. In addition to research, PhD scientists may also teach at universities, mentor students, and work in industry, government, or non-profit organizations. Their advanced training prepares them to solve complex problems and drive innovation in science and technology.

What are some common challenges PhD scientists face when transitioning from academia to industry roles?

PhD Scientists often encounter challenges such as adapting to faster-paced project timelines, working within multidisciplinary teams, and aligning their research with business objectives rather than purely academic interests. Unlike academia, industry roles typically require frequent collaboration with colleagues from diverse backgrounds, including engineering, marketing, and regulatory affairs. Additionally, effective communication and the ability to translate complex findings for non-expert stakeholders become crucial skills for success in industry settings.

What jobs can I do with a Phd Scientist in science?

A PhD scientist can pursue roles such as research scientist, data analyst, laboratory manager, or scientific consultant across industries like pharmaceuticals, biotechnology, academia, and government agencies. These positions often require strong analytical skills, familiarity with laboratory techniques, and the ability to interpret complex data. Additional certifications or experience with specific tools may enhance job prospects.

What are the key skills and qualifications needed to thrive as a PhD scientist?

To thrive as a PhD Scientist, you need advanced research skills, deep subject matter expertise, and a doctoral degree in a scientific discipline. Proficiency with specialized laboratory equipment, data analysis software (such as R, Python, or MATLAB), and experience with scientific publishing are typically required. Strong critical thinking, problem-solving, and communication skills set exceptional PhD Scientists apart. These abilities are vital for designing rigorous experiments, analyzing complex data, and effectively sharing findings with both technical and non-technical audiences.

What is the salary of a Phd Scientist?

The salary of a Phd Scientist varies depending on the industry, location, and experience, but typically ranges from $80,000 to $130,000 annually. Senior or specialized roles can offer higher compensation, especially in biotech, pharmaceuticals, or research-intensive fields.

Is a Phd Scientist worth it in science?

A PhD scientist is highly valued in research and academia for their specialized knowledge, analytical skills, and ability to conduct independent investigations. While the degree can lead to advanced positions and higher salaries, it often requires several years of study and research commitment, and job opportunities may be competitive depending on the field and industry demand.

Can you be a Phd scientist with a PhD?

A Phd scientist is someone who holds a PhD and works in research or specialized scientific roles. Having a PhD is typically a requirement for such positions, and it demonstrates advanced expertise in a specific field, often involving research, data analysis, and scientific methodology.

What is the difference between Phd Scientist vs Research Scientist?

AspectPhd ScientistResearch Scientist
Required CredentialsPhD in relevant fieldBachelor's or Master's often sufficient, but PhD preferred in some cases
Work EnvironmentLaboratories, research institutions, academiaCorporate labs, industry R&D, academia
Employer & Industry UsageUniversities, government agencies, biotech firmsPharmaceutical companies, tech firms, research organizations

While both roles involve research and scientific expertise, a Phd Scientist typically holds a doctoral degree and may focus on advanced research projects, often in academia or specialized labs. A Research Scientist may have a master's or bachelor's degree and work in industry or applied research settings. The Phd Scientist usually engages in more independent, high-level research, whereas the Research Scientist often supports broader project goals.

What are popular job titles related to Phd Scientist jobs in Renton, WA?

For Phd Scientist jobs in Renton, WA, the most frequently searched job titles are:

What job categories do people searching Phd Scientist jobs in Renton, WA look for?

The top searched job categories for Phd Scientist jobs in Renton, WA are:

What cities near Renton, WA are hiring for Phd Scientist jobs?

Cities near Renton, WA with the most Phd Scientist job openings:

Data Scientist, Core Infrastructure

Stripe

Seattle, WA • On-site

Full-time

Posted 22 days ago


Job description

Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies-from the world's largest enterprises to the most ambitious startups-use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.
About the team
You'll be joining the data science team at Stripe responsible for our overall infrastructure, with a focus on core systems and cloud platforms. Projects include, but are not limited to:
  • Developing models to predict resource needs as Stripe demand increases;
  • Working closely with engineers to improve the cost and performance of platforms and services;
  • Employing quantitative methods to drive and automate fleet decisions.

You will act as a key strategic data partner to the Core Infrastructure organization at Stripe, and help craft, guide, and drive the strategy and tactics needed to help ensure Stripe can continue to scale with efficiency and dependability as our business rapidly grows.
What you'll do
As a Data Scientist, your role will involve:
  • Analyzing infrastructure usage, efficiency, and workloads to predict demand and inform capacity planning.
  • Developing models and strategies for efficient compute resource consumption and provisioning.
  • Collaborating with engineers, engineering leadership, and finance teams to ensure Stripe makes the right, data-driven, infrastructure decisions.
  • Providing actionable insights and recommendations to improve infrastructure operations to reduce costs and improve reliability.
  • Utilizing your analytical expertise to influence both technical and financial strategies within Stripe.
Who you are
We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Location Requirement
  • Seattle, WA or San Francisco, CA (Hybrid: 50% in office)
Minimum requirements
  • PhD with 3+ years, MS or MA with 6+ years, or BS or BA with 8+ years of data science or quantitative modeling experience.
    • 3-8+ years of experience with a focus on infrastructure, cloud environments, and resource utilization/allocation.
  • Proficiency in SQL and a computing language such as Python or R.
  • Experience in analyzing logs/telemetry, scheduling optimization, or cloud infrastructure engineering.
  • Ability to effectively work both independently and with cross-disciplinary teams, including engineering and finance, to deliver impactful results.
  • A demonstrated ability to manage and deliver on multiple projects with a high attention to detail.
  • Solid business acumen and experience in synthesizing complex analyses into actionable recommendations.
  • A track record of building relationships with and influencing the decisions of senior technical leadership.
  • A builder's mindset with a willingness to question assumptions and conventional wisdom.
Preferred qualifications
  • Background in deploying data models in production environments and optimizing their performance.
  • Experience in using, deploying on, and analyzing usage data from public cloud providers.
  • Familiarity with distributed computing tools such as Spark and Hadoop.
  • A PhD or MS in a quantitative field like Computer Science & Engineering, Statistics, Mathematics, Operations Research, Industrial Engineering, Management Science, or related disciplines.
  • Strong business acumen with a track record of translating complex data analyses into actionable business recommendations.