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Remote Scientist Jobs in Bothell, WA (NOW HIRING)

Designworks Talent

Staff Applied Scientist

Seattle, WA · Remote

$220K - $275K/yr

You'll partner with a diverse team of scientists, engineers, and product leaders to build scalable solutions that solve meaningful real-world challenges. This is an opportunity for someone who enjoys ...

Meta

Data Scientist (Technical Leadership)

Menlo Park, CA · On-site +1

$210K/yr

As a Data Scientist, you will collaborate on a wide array of product and technical problems with a wide range of cross-functional partners across Product, Engineering, Research, Data Engineering ...

LiveRamp

Senior Data Scientist - Identity

Seattle, WA · On-site +1

Own end-to-end data science workflows-from problem framing, data exploration, and modeling through deployment, monitoring, and continuous improvement-in close collaboration with Engineering.

Block

Staff Product Data Scientist, Lending

Seattle, WA · On-site +1

Today, Cash App has thousands of employees working globally across office and remote locations ... The Role The Data Science team at Block turns unique customer and product data into decisions that ...

Stripe

Senior Data Scientist

Seattle, WA · On-site +1

$192K - $288K/yr

Collaborate with other data scientists, engineers and operations to formulate innovative solutions to experiment and implement advanced data mining techniques. * Conduct exploratory analysis on ...

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All JobsScientist JobsRemote Scientist JobsRemote Scientist Jobs in Bothell, WA

Remote Scientist information

See Bothell, WA salary details

$93.3K

$142K

$191.2K

How much do remote scientist jobs pay per year?

As of Aug 6, 2026, the average yearly pay for remote scientist in Bothell, WA is $142,006.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,800.00 and $160,400.00 per year, depending on experience, location, and employer.

Is 40 too late to become a remote scientist?

Age is not a barrier to becoming a remote scientist, as the field values skills, experience, and education. Many scientists transition into remote roles later in their careers, often leveraging advanced degrees, research experience, and familiarity with scientific tools and software. Continuous learning and staying current with industry developments can support a successful transition at any age.

What is a remote scientist?

A Remote Scientist is a professional who conducts scientific research, analysis, and experiments while working remotely, often using digital tools and virtual collaboration platforms. They may work in various fields, including environmental science, data science, biotechnology, and engineering. Remote Scientists communicate their findings through reports, presentations, or virtual meetings with colleagues and stakeholders. This role requires strong problem-solving skills, self-discipline, and proficiency in using remote research tools.

What remote scientist jobs are there?

Remote scientist jobs include roles such as research scientists, data scientists, laboratory scientists, and environmental scientists. These positions often require specialized knowledge, relevant degrees, and skills in data analysis, laboratory techniques, or scientific research, and may involve collaboration through digital tools and virtual meetings.

What does a remote scientist do?

A typical day for a Remote Scientist often involves analyzing datasets, designing experiments or simulations, collaborating with team members via video calls or shared digital platforms, and preparing reports or presentations. Depending on their specialization, they may spend time running remote experiments, writing scientific papers, or contributing to grant proposals. While much of the work is independent, regular virtual meetings are held to ensure alignment with projects and to discuss research progress. This structure allows Remote Scientists to balance focused research time with teamwork and ongoing professional development.

What skills and qualifications are needed to thrive as a remote scientist?

To thrive as a Remote Scientist, you need a strong grounding in scientific research methods, data analysis, and a relevant advanced degree such as a Master's or Ph.D. Tools like statistical software (e.g., R, Python), laboratory management systems, and secure data-sharing platforms are frequently used, along with certifications in specialized areas if required. Exceptional written and verbal communication, self-motivation, and organizational skills are essential for effectively collaborating within remote teams and managing independent projects. These abilities ensure remote scientists maintain high research standards, deliver impactful findings, and successfully bridge the gap between virtual collaboration and tangible scientific progress.

What are the most commonly searched types of Scientist jobs in Bothell, WA? The most popular types of Scientist jobs in Bothell, WA are:
What are popular job titles related to Remote Scientist jobs in Bothell, WA? For Remote Scientist jobs in Bothell, WA, the most frequently searched job titles are:
What job categories do people searching Remote Scientist jobs in Bothell, WA look for? The top searched job categories for Remote Scientist jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for Remote Scientist jobs? Cities near Bothell, WA with the most Remote Scientist job openings:
Remote Scientist jobs near you
Infographic showing various Remote Scientist job openings in Bothell, WA as of August 2026, with employment types broken down into 2% Internship, 1% As Needed, 79% Full Time, 13% Part Time, and 5% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $142,006 per year, or $68.3 per hour.

Staff Applied Scientist

Designworks Talent

Seattle, WA • Remote

$220K - $275K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 23 days ago

Job description

Location: Seattle, WA (On-site downtown) - Hybrid
Type: Full-Time
Industry: Software (AI)
Specialty: Identity verification, fraud prevention, background screening, and risk intelligence.

Overview

Our publicly traded client develops proprietary technology and analytics to deliver identity intelligence, powering critical solutions that help organizations operate confidently. Their solutions enable real-time identification and location of people, businesses, assets, and their relationships for risk mitigation, due diligence, fraud prevention, regulatory compliance, and customer acquisition. These solutions support frictionless commerce, enhance safety, reduce fraud, and lower related societal costs.

Key Responsibilities

Our client is looking for a collaborative and forward-thinking Staff Applied Scientist to join their Seattle-based AI team. In this role, your work will focus on developing and deploying generative AI, agentic AI, and deep learning-based solutions.
You’ll partner with a diverse team of scientists, engineers, and product leaders to build scalable solutions that solve meaningful real-world challenges. This is an opportunity for someone who enjoys balancing research, experimentation, and hands-on product impact in a fast-moving environment where curiosity, creativity, and continuous learning are valued.

Qualifications

Education

Ph.D. in Computer Science, Artificial Intelligence, or a related field with a focus on: generative AI, agentic AI, deep learning, reinforcement learning, and/or graph neural networks.

-or-

Equivalent industry experience

Experience:

  • 5-7 years with Applied research in AI.

  • Large language models (LLMs), agentic systems, reinforcement learning, and/or graph neural networks.

  • Successfully shipping AI-powered products (not just publishing or prototyping).


Strengths:

  • Hands-on experience designing and deploying agentic AI systems, including tool usage, function calling, planning, multi-agent orchestration, retrieval-augmented generation, and evaluating agent behavior in production environments.

  • Pre-training and/or fine-tuning foundational large language models.

  • Proficiency in programming languages such as Python or C++, along with expertise in AI frameworks (e.g., PyTorch, TensorFlow, JAX).

  • Deep understanding of transformer architectures, deep learning, and generative AI, with experience in natural language processing (NLP) for generative and agentic AI applications.

  • Experience building and deploying scalable AI/ML solutions in real-world applications, including those at national or global scales.

  • Demonstrated ability to drive projects forward independently with minimal guidance. Ownership of ambiguous problem framing through research, prototyping, productionization, and post-launch iteration.

  • Bonus

    • Familiarity with supervised fine-tuning, RLHF/DPO, LoRA/PEFT, distillation, and large-scale distributed training.

    • AWS certifications related to generative AI.

    • Published research findings at top-tier conferences and journals.

Why You’ll Love This Role

  • Big Data | Research | Innovation | Problem Solving | Experimentation | Productization

  • You thrive in communicative, collaborative, cross-functional environments.

  • Comfortable working at the intersection of research and engineering, able to read papers on Friday and ship a prototype by Monday. Enjoys transforming ambiguous research ideas into reliable production systems.

  • Benefits: stock (RSU) grants, a 401K and generous company match, flexible PTO policy, medical, dental and vision coverage, commuter benefits, in-office healthy snacks, team events

  • Our client is a proud to be an Equal Opportunity Employer.

Compensation Range: $220K - $275K