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Remote Scientist Jobs in Bothell, WA (NOW HIRING)

Remote Job Summary The future is bright for the Porch Group, and we'd love for you to be a part of it as our Head of Data Science . Porch Group is looking for a transformative Head of Data Science to ...

Remote Job Summary The future is bright for the Porch Group, and we'd love for you to be a part of it as our Head of Data Science . Porch Group is looking for a transformative Head of Data Science to ...

Senior Applied Scientist - Moloco Ads

Seattle, WA ยท On-site +1

$104K - $142K/yr

The Research Science (RS) team focuses on the operation and optimization of our software systems working closely with infrastructure engineering teams, machine learning teams and data science teams.

AI Scientist I

Seattle, WA ยท On-site +1

Senior Manager, Research Science * Research and develop advanced MLLMs, GenAI, and Computer Vision techniques for cloud, devices and sensors from multimodal data sources. * Design and implement ...

Senior Machine Learning Scientist

Seattle, WA ยท Remote

$104K - $142K/yr

Senior Machine Learning Scientist The Senior Machine Learning Scientist is responsible for building and evaluating GenAI- and LLM-powered solutions and AI agents that improve post-booking customer ...

Senior Applied Scientist

Seattle, WA ยท Remote

$200K - $250K/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 ...

Staff Applied Scientist

Seattle, WA ยท 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 ...

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 ...

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Remote Scientist information

See Bothell, WA salary details

$93.3K

$142K

$191.2K

How much do remote scientist jobs pay per year?

As of Jul 13, 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.

How can I make 2000 a week working from home?

A remote scientist can earn $2,000 a week by taking on multiple consulting projects, freelance research assignments, or specialized contract roles that pay high hourly or project-based rates. Building expertise in in-demand areas like data analysis, laboratory techniques, or scientific writing, along with strong communication skills and relevant certifications, can help secure higher-paying opportunities in a remote setting.

What jobs pay 500,000 a year in the US?

Remote scientists, especially those in specialized fields like pharmaceuticals, biotechnology, or data science with advanced expertise, can reach or exceed a $500,000 annual salary through senior roles, consulting, or leadership positions. High earnings often require advanced degrees, extensive experience, and skills in areas such as machine learning, bioinformatics, or scientific management.

What is a Remote Scientist job?

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 does a typical workday look like for a Remote Scientist?

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.

Is 40 too late to become a scientist?

A remote scientist role can be pursued at any age, as many scientific careers value experience, skills, and continuous learning. While some positions may require advanced degrees or specialized training, individuals can start new scientific careers later in life by gaining relevant education, certifications, and practical experience.

How can I make $100,000 a year working from home?

A remote scientist can reach a $100,000 annual income by gaining specialized expertise in high-demand fields such as data analysis, bioinformatics, or environmental science, often requiring advanced degrees and certifications. Building a strong professional network, publishing research, and leveraging freelance consulting or contract work can also increase earning potential while working remotely.

What are the key skills and qualifications needed to thrive in the Remote Scientist position, and why are they important?

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:
Infographic showing various Remote Scientist job openings in Bothell, WA as of July 2026, with employment types broken down into 83% Full Time, 14% Part Time, and 3% Contract. Highlights an 40% Physical, 4% Hybrid, and 56% Remote job distribution, with an average salary of $142,006 per year, or $68.3 per hour.
Staff Research Scientist (AdTech/Recommendation Systems)

Staff Research Scientist (AdTech/Recommendation Systems)

Cognitiv

Bellevue, WA โ€ข On-site, Remote

$200K - $270K/yr

Other

Posted 20 days ago


Job description

The Role

We are seeking a Staff Research Scientist who can drive innovation through deep technical expertise and hands-on execution. You'll contribute to cutting-edge research in deep learning and LLMs while advancing Cognitiv's real-time bidding and recommendation systems at production scale. This role sits at the intersection of applied research and high-performance machine learning systems.

Location: This position will be located in Bellevue, WA office with a hybrid work schedule of 3 days in office (Mon/Tue/Wed) and 2 days remote (Thursday/Friday).

What You'll Do
  • Drive Research & Innovation. Design, prototype, and evaluate advanced machine learning and deep learning approaches, with a focus on recommendation systems, real-time bidding, and LLM-driven applications.
  • Stay Hands-On. Contribute directly through coding, experimentation, model development, and technical problem-solving across the full ML lifecycle.
  • Advance AdTech Performance. Improve model accuracy, scalability, and efficiency to drive ad targeting, bidding performance, and audience relevance.
  • Build Production-Ready ML Systems. Partner closely with engineering and infrastructure teams to deploy, optimize, and monitor machine learning models in large-scale production environments.
  • Explore Emerging Technologies. Stay current with advancements in deep learning, transformers, and LLM research, identifying practical opportunities to apply new techniques within Cognitiv's platform.
  • Collaborate Cross-Functionally. Work closely with data science, engineering, product, and platform teams to solve complex technical challenges and deliver impactful ML solutions.
  • Contribute Technical Expertise. Provide thoughtful technical input through design discussions, experimentation reviews, and collaboration with other researchers and engineers.
Tech Stack
  • Core Tools - Python, PyTorch, deep learning architectures (transformers, recommendation models).
  • Traditional ML - XGBoost, PCA.
  • Big Data / Infra - Spark, Hadoop, distributed training systems.
  • Cloud Platforms - AWS, GCP, or Azure.
  • Bonus - C++.
Who You Are
  • Experienced ML Researcher/Engineer: Master's or Ph.D. in Computer Science, Statistics, Electrical Engineering, or a related field, with 5-7+ years of experience in machine learning R&D or applied ML.
  • Deep Learning & LLM Expertise: Strong technical expertise in PyTorch, transformers, and Large Language Models (LLMs), including large-scale training, fine-tuning, and optimization of deep neural networks.
  • Machine Learning Breadth: Strong understanding of both deep learning and traditional ML techniques (e.g., XGBoost, PCA), with the ability to apply the right approach to the right problem.
  • Engineering Excellence: Proficiency in Python with strong foundations in algorithms, data structures, and software engineering principles; experience building models in real-time, high-throughput systems (e.g., recommender systems, adtech).
  • Production Experience: Hands-on experience developing, deploying, and optimizing machine learning models in production environments, including distributed systems, cloud platforms (AWS, GCP, Azure), and big data frameworks (Hadoop, Spark).
  • Collaborative Communicator: Strong written and verbal communication skills with the ability to work effectively across research and engineering teams in a fast-paced environment.
Bonus Points If You Have
  • AdTech & RTB Experience. Prior exposure to advertising technology and real-time bidding (RTB) systems is a strong plus.
  • Distributed Systems & Cloud. Familiarity with big data frameworks (Spark, Hadoop) and cloud platforms (AWS, GCP, Azure).
  • C++ Skills. Strong C++ programming ability is a significant advantage alongside Python expertise.
  • Research & Community Impact. A track record of published research or meaningful contributions to the machine learning community.
  • Bridging Research and Production. Experience translating research ideas into scalable, production-grade machine learning systems.

Salary: $200,000 - $270,000 USD Base Salary + Equity