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Remote Data Scientist Jobs in Bothell, WA (NOW HIRING)

Applied research from research to data to model fine-tuning & training and evals. * Training (pre ... Remote is considered for exceptional candidates. If solving unique technical challenges in an ego ...

Our Client Data Science team is dedicated to delivering invaluable insights and reports to our ... remote employee. A hybrid work schedule indicates that you work in the office some days and work ...

New

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 ...

(USA) Staff, Data Scientist

Bellevue, WA · On-site +1

$132K - $264K/yr

As a Staff Data Scientist, you will help design, prototype, build, deploy, and improve next-generation intelligent systems that blend software, models, and automation into cohesive, adaptive ...

Senior Manager, Research Science * Research and develop advanced MLLMs, GenAI, and Computer Vision ... Design and implement efficient and scalable MLLM models for inference and analysis of visual data.

AI Engineer - Machine Learning 3

Redmond, WA · Remote

$117K - $140K/yr

Requirement - AI Engineer - Machine Learning 3 Location- Redmond, WA 98052-Remote Contract W2 Title: Machine Learning Data Scientist - Research Translation & Prototypin Top 3 Must-Have HARD Skills ...

Remote Employment: Full‑time Data Annotation Intern - Remote Independent contractor opportunity to assist high‑quality AI data creation. Internship Kaizen Summer Sales Intern Dynamic internship ...

In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user ...

In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user ...

In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user ...

In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user ...

Data/AI Solutions Architect

Seattle, WA · Remote

$180K - $210K/yr

LOCATION & WORK ARRANGEMENTS The role is remote, but you will be expected to travel occasionally to ... A Bachelor's degree in Engineering, Computer Science, or a related field is required; an advanced ...

Data Governance & Quality Consultant Seattle, WA / Remote We are seeking a Data Governance ... Bachelor's degree in CS, Data Science, or a related technical field. * Soft Skills: Exceptional ...

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Remote Data Scientist information

See Bothell, WA salary details

$41.9K

$137.2K

$219.7K

How much do remote data scientist jobs pay per year?

As of Jul 14, 2026, the average yearly pay for remote data scientist in Bothell, WA is $137,208.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,100.00 and $152,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Data Scientist, and why are they important?

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, usually demonstrated through a relevant degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of data visualization tools are typically required, along with certifications such as Microsoft Certified: Azure Data Scientist Associate or Google Professional Data Engineer. Excellent communication, problem-solving abilities, and self-motivation are critical soft skills for collaborating remotely and delivering insights to stakeholders. These skills are crucial for effectively analyzing data, building predictive models, and driving data-driven decisions in a distributed work environment.

Can a data scientist work remotely?

Yes, many data scientists work remotely, especially as the role often involves analyzing data, programming, and using tools like Python, R, and cloud platforms that can be accessed from anywhere. Remote work options depend on the employer's policies and the specific job requirements, but it is increasingly common in the data science field.

What Is the Job of a Remote Data Scientist?

Remote data scientists collect, confirm, and interpret data to determine useful information for their employer. Unlike in-house data scientists, remote data scientists work outside the office, either from home or another location with Wi-Fi accessibility. Remote data scientists help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information they get from the records they gather helps businesses make decisions in critical areas, such as product development, sales and marketing techniques, and client retention. You find remote data scientists in many different industries, including pharmaceuticals, manufacturing, and banking.

How can I make 2000 a week working from home?

A remote data scientist can earn $2,000 or more per week by working on high-demand projects, consulting, or freelance assignments that pay premium rates. Building a strong portfolio, developing skills in machine learning and data analysis tools, and establishing a reliable client base are essential for achieving this income level remotely.

What are remote data scientists?

Remote data scientists are professionals who analyze and interpret complex data while working outside of a traditional office environment, typically from home or another remote location. They use statistical methods, machine learning, and programming to extract insights from data, helping organizations make data-driven decisions. Remote data scientists collaborate with teams virtually, often using tools for communication, data analysis, and project management. This flexible work arrangement allows for talent from anywhere to contribute to companies worldwide, provided they have reliable internet and the necessary technical skills.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

How does a remote data scientist typically collaborate with team members across different time zones?

As a remote data scientist, effective collaboration across time zones often involves leveraging asynchronous communication tools like Slack, project management platforms, and version control systems such as Git. Regular virtual meetings are scheduled to accommodate overlapping hours, and clear documentation becomes crucial for keeping everyone aligned. Proactive communication, sharing progress updates, and setting clear expectations help ensure seamless teamwork despite geographical differences. This structure allows remote data scientists to contribute meaningfully while maintaining flexibility in their work schedules.

What is the difference between Remote Data Scientist vs Remote Data Analyst?

AspectRemote Data ScientistRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; often requires programming skills in Python or RDegree in Analytics, Business, or related field; may require proficiency in Excel, SQL, and visualization tools
Work EnvironmentResearch-focused, developing models, machine learning, and predictive analyticsData interpretation, reporting, and visualization to support business decisions
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceRetail, marketing, finance, and consulting firms

Remote Data Scientists focus on building models and advanced analytics, while Remote Data Analysts interpret data and create reports. Both roles require strong analytical skills but differ in technical depth and project scope.

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

A remote data scientist can earn $100,000 or more annually by gaining advanced skills in machine learning, data analysis, and programming languages like Python or R, along with relevant certifications. Building a strong portfolio, gaining experience, and working for companies that offer remote roles with competitive salaries are key strategies to reach this income level.
What are the most commonly searched types of Data Scientist jobs in Bothell, WA? The most popular types of Data Scientist jobs in Bothell, WA are:
What are popular job titles related to Remote Data Scientist jobs in Bothell, WA? For Remote Data Scientist jobs in Bothell, WA, the most frequently searched job titles are:
What job categories do people searching Remote Data Scientist jobs in Bothell, WA look for? The top searched job categories for Remote Data Scientist jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for Remote Data Scientist jobs? Cities near Bothell, WA with the most Remote Data Scientist job openings:
Infographic showing various Remote Data Scientist job openings in Bothell, WA as of July 2026, with employment types broken down into 87% Full Time, 4% Part Time, and 9% Contract. Highlights an 100% Remote job distribution, with an average salary of $137,208 per year, or $66 per hour.

Applied Scientist

techire ai

Seattle, WA • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 2 hours ago


Job description

Create agentic AI for industries where decisions matter: from healthcare to aerospace. Oh, and you’ll have the compute power to train large models to solve this challenge.

Your role as Applied Scientist is to build next-generation AI agents solving real problems in regulated STEM fields. You’ll train large transformer models and work on reasoning and agentic AI to create secure, explainable agentic AI systems for regulated environments.

You'll be joining a top team, ex-big tech and start-up execs, and a founder who is a successful entrepreneur with billion-dollar+ exits. This company is tackling the significant architectural, security, and ethical challenges of current AI systems. They've also raised $20 million and are already working with companies in industries where standard AI approaches fall short.

Your focus:

  • Applied research from research to data to model fine-tuning & training and evals.
  • Training (pre & post-training) and fine-tuning Large Language Models (text and multimodal) specifically for complex industry workflows.
  • Creating systems with strong reasoning and explainability capabilities.
  • Working with complex datasets (proprietary, customer, and synthetic).
  • Implementing supervised fine-tuning and reinforcement learning techniques.
  • Collaborating with engineering teams to pass off model deployment.

The ideal candidate has:

  • Hands-on experience training LLMs from scratch.
  • Deep understanding of transformers.
  • Experience in Applied Research.
  • Strong Python and PyTorch skills.
  • Experience with NLP or multimodal models (computer vision backgrounds considered if you've worked with large transformer models).
  • Track record of building real AI products with measurable impact.

They offer:

  • Abundant compute resources for training large models.
  • Salary ranges from $200k-$250k for experienced hires, plus up to 20% performance bonus.
  • Significant share package.
  • Healthcare (medical, dental, vision).
  • 401k.
  • 20 vacation days and flexible working hours.

You'll join a team that values clear communication, hands-on building, and a no-ego culture. The research team is small now but growing to 15-20 members within the next year, giving you significant influence on direction and approach – giving the chance to put your stamp on truly Agentic systems.

You’ll be based in the US – ideally in Seattle, or Miami. Remote is considered for exceptional candidates.

If solving unique technical challenges in an ego-free environment with strong resources appeals to you, reach out for a confidential conversation. Everyone will receive a response.

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