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

DocuSign

Product Data Science Intern

Seattle, WA · On-site +1

What you'll do Docusign's Product Data Science team is looking for a Data Scientist Intern to ... Employee divides their time between in-office and remote work. Access to an office location is ...

DocuSign

Data Scientist

Seattle, WA · On-site +1

What you'll do Docusign's Product Data Science team is looking for a Data Scientist to support the ... Employee divides their time between in-office and remote work. Access to an office location is ...

iSpot

Research Data Scientist 1

Bellevue, WA · Remote

$95K - $106K/yr

The Research Data Science team builds innovative solutions for iSpot's audience measures ... remote employee. A hybrid work schedule indicates that you work in the office some days and work ...

BECU

Data Scientist

Tukwila, WA · On-site +1

$75K - $140K/yr

Remote or onsite, we are committed to ensuring you are fully engaged and included in our collaborative environment. IMPACT YOU'LL MAKE As a Data Scientist at BECU, you'll help shape how we understand ...

Stripe

Data Scientist

Seattle, WA · On-site +1

$192K - $288K/yr

Partner closely with Sales and Data Science teams to identify important questions and answer them with data * Design, implement and launch data science solutions using Python and R to empower data ...

Deloitte

AI and Data Science Engineer III

Seattle, WA · On-site +1

$130K - $156K/yr

AI and Data Science Engineer III Position Summary Our Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We ...

BECU

Sr Data Scientist - Marketing Analytics

Tukwila, WA · On-site +1

$91K - $169K/yr

Remote or onsite, we are committed to ensuring you are fully engaged and included in our collaborative environment. IMPACT YOU'LL MAKE As a Senior Data Scientist at BECU, you'll serve as a strategic ...

Chewy

Data Scientist III

Bellevue, WA · On-site +1

$141K - $225K/yr

Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Data Science, Economics, Computer Science) or related experience. * 5+ years Data Science experience. * 4+ years of ...

Otter.ai

Data Scientist, Product

Seattle, WA · On-site +1

$155K - $185K/yr

Stay current with industry trends, emerging technologies, and best practices in data science, machine learning, and AI to drive innovation and competitiveness. We're Looking for Someone Who * Has 3+ ...

The Select Group

Data Quality Analyst

Tukwila, WA · On-site +1

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 ...

The Select Group

Data Quality Analyst

Tukwila, WA · Remote

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 ...

RealPage, Inc.

Senior Data Analyst

WA · Remote

$85K - $145K/yr

... science practices. * Exposure to statistical analysis or advanced analytical techniques. * Familiarity with formal data governance or data quality frameworks. #LI-AS2 #LI-REMOTE Physical Demands and ...

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All JobsData Science JobsRemote Data Science JobsRemote Data Science Jobs in Seattle, WA

Remote Data Science information

See Seattle, WA salary details

$25.4K

$113.1K

$215.9K

How much do remote data science jobs pay per year?

As of Jun 16, 2026, the average yearly pay for remote data science in Seattle, WA is $113,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,444.00 and $156,935.00 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, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

Can a data scientist work fully remote?

Yes, many data scientists work fully remote, especially in companies that prioritize flexible work arrangements. Remote data science roles often require strong communication skills, proficiency with collaboration tools, and the ability to work independently on projects using programming languages like Python or R. However, some positions may require occasional in-person meetings or on-site presence depending on company policies.

Is 40 too late for data science?

Age is not a barrier to entering data science, and many professionals start or 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.

Will AI replace data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not eliminate the need for human expertise in interpreting results, designing models, and making strategic decisions. Data scientists will continue to be essential for developing complex algorithms, understanding business context, and ensuring ethical use of AI tools. Skills in programming, statistical analysis, and machine learning remain critical for the profession's evolving landscape.

What Are the Qualifications to Get a Remote Data Science Job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

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

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables, optimize models, and prioritize tasks for efficiency.
More about Remote Data Science jobs
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Remote Data Science jobs near you
Manager of Data Science

Manager of Data Science

Providence Digital Innovation Group

Seattle, WA • Remote

Other

Posted 12 days ago

Job description

This is a remote role.  We would prefer that the successful candidate located in the Seattle area within the PST/MST time zones.

Providence is one of the largest not-for-profit health systems in the United States.

At Providence, we use our voice to advocate for vulnerable populations and health care reforms. We pursue innovative ways to transform health care by keeping people healthy, and making our services more convenient, accessible and affordable for all. In an increasingly uncertain world, we are committed to high-quality, compassionate health care for everyone-regardless of coverage or ability to pay. We help people and communities benefit from the best health care model for the future, today.

The Digital Innovation Group (DIG) at Providence is a small but mighty product development and incubation team.  We build next-gen tools that give patients convenient and easy access to health care anywhere, anytime.

DIG is both a healthcare startup and a technology/product incubator. Our team gathers market data on effective solutions in the health care space and then builds out a product line with the latest and greatest technology. When market maturity hits, DIG enables the product to spin out as its own company. It is a unique mix of venture capitalists, digital strategists, marketing acumen, product development and engineering all in one group nestled inside one of the largest health systems. We set the pace for other health care organizations around the country on how to conceive, engineer and launch effective health care solutions.

Recently funded DIG startups include DexCare and Praia Health. 

Success in this role means you can join future funded startups on the ground floor. 

Job Summary:
 
Are you an experienced Data Scientist who wants to lead a new analytics program focused on helping patients effectively navigate their care through a seamless digital experience? 
 
As a Data Science Manager, you will lead a team of data scientists in helping the Digital Innovation Group understand the patient's digital journey and how our products are impacting their health outcomes and the performance of our healthcare system.  
We need a talented data science leader to apply rigorous hypothesis testing, statistical modeling, machine learning, predictive analytics and working with LLMs to inform the acquisition, personalization and retention strategies for our products. Your team will be responsible for building churn, retention and LTV models for our Providence App as well as developing the next best action recommendation model personalizing content by patient cohorts. Your team's work will contribute directly to the success of growing, maintaining and improving health outcomes of our patients utilizing digital products developed by DIG. 
You will be expected to work with analytics and product leaders to understand their top priorities to set the strategic direction of your data science projects. You will be a player/coach on the team, helping define the team's roadmap, ways of working (process management) and provide technical guidance and oversight.  
The Data Science Manager will play a critical role in leading the data driven approach to incubation and commercialization of our product portfolio helping Providence innovate in healthcare technology affecting millions of patients' health outcomes.  
 
Required Qualifications:
  • Bachelor's Degree Data Science, Computer Science, Statistics, Economics, Mathematics Or equivalent educ/experience
  • 6 years of experience in data analysis, advanced statistical analysis, predictive analytics, with hands on experience in data mining, machine learning and predictive modeling. 
  • 4 years Leadership experience.
Preferred Qualifications:
  • Master's Degree Data Science, Computer Science, Statistics, Economics, Mathematics Or equivalent educ/experience
  • Coursework/Training Data science or project management     
  • 1 year Experience in the Healthcare field.
  • 1 year Experience in project management.
  • Certifications in data science, project management or related fields (e.g., Certified Analytics Professional (CAP), Certified Data Management Professional (CDMP), or specific vendor certifications like Microsoft Certified: Azure Data Scientist Associate.) 

Apply