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

Senior Data Analyst

WA · Remote

$97K - $123K/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 ...

Senior Data Analyst

WA · On-site +1

$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 ...

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 ...

Data Analyst

Seattle, WA · On-site +1

$42 - $45/hr

Partner closely with marketing technology, data science, and platform partners to build robust, scalable solutions. * Collaborate with paid social channel managers to understand reporting needs and ...

We're always looking to connect with exceptional remote talent across the U.S. If you don't see a ... Product & Engineering (software engineering, platform, QA, DevOps) * Data Science & Analytics ...

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 ...

Intern - ML Engineering

Seattle, WA · On-site +1

$25 - $45/hr

About the Role We are looking for a motivated and self-driven Rising Senior, interested and specializing in Machine Learning and Data Science to join our diverse team. In this Hybrid or remote role ...

Bellevue, WA Remote Work100% Primary SkillsAWS Cloud Formation * MLOps Engineer to work on AWS ... data science. * 4-6 years of strong experience with the following machine learning topics ...

Product Manager - Data Onboarding

Seattle, WA · On-site +1

$104K - $161K/yr

... Data Science, to define the next generation of seamless document integration for enterprise ... Employee divides their time between in-office and remote work. Access to an office location is ...

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 ...

Support existing data science and modeling teams by aligning platform capabilities to business and ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Support existing data science and modeling teams by aligning platform capabilities to business and ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

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Showing results 1-20

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.
What are the most commonly searched types of Data Science jobs in Seattle, WA? The most popular types of Data Science jobs in Seattle, WA are:
What job categories do people searching Remote Data Science jobs in Seattle, WA look for? The top searched job categories for Remote Data Science jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Remote Data Science jobs? Cities near Seattle, WA with the most Remote Data Science job openings:
Senior Data Analyst

$97K - $123K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 18 days ago


RealPage rating

6.0

Company rating: 6.0 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

171st of 190 rated software companies


Job description

Overview

We are seeking a Senior Data Analyst to play a critical role in strengthening the organization's analytics foundation through business intelligence and data analytics delivery, supported by data discovery and centralization.

This role is accountable for producing high-quality, scalable analytics and dashboards that support decision-making, while also improving clarity and consistency across distributed data systems.

The individual in this role serves as a trusted owner of analytical integrity, responsible for defining and maintaining metric logic, validating data availability and definitions, and ensuring analytics are built on clearly understood and well-documented data sources.

Success requires technical depth, analytical rigor, and the ability to balance day-to-day analytics delivery with ongoing data discovery in a decentralized data environment.

ResponsibilitiesBusiness Intelligence and Data Analytics
  • Design, build, and maintain BI dashboards and analytical solutions that support operational, strategic, and ad hoc analytical needs.
  • Own metrics and KPIs end-to-end, including definition, calculation logic, validation, and ongoing consistency.
  • Translate business questions into analytical approaches, dashboards, reports, and supporting data structures.
  • Ensure analytics are accurate, well-documented, and aligned with agreed-upon metric definitions.
  • Provide ongoing analytical support to stakeholders, including investigations, deep dives, and clarification of results.
Data Discovery, Centralization and Documentation
  • Lead data discovery efforts to determine whether required data exists, how it is defined, and where it resides.
  • Identify equivalent or related data elements across systems and document authoritative sources.
  • Support data centralization and consolidation by identifying overlaps, gaps, and inconsistencies across datasets.
  • Create and maintain documentation that supports repeatable analytics, metric consistency, and long-term scalability.
Data Quality and Accuracy
  • Validate data used in dashboards and analyses to ensure accuracy and reliability.
  • Identify data limitations, definition gaps, or quality issues and clearly communicate their impact.
  • Promote consistent interpretation and responsible use of metrics across teams.
Cross-Functional Partnership
  • Create BI dashboards and analytical outputs in close partnership with business, product, and technical teams.
  • Serve as a day-to-day analytics partner supporting decision-making through data and insights.
  • Communicate analytical findings, assumptions, and limitations clearly to both technical and nontechnical audiences.
  • Operate effectively in environments with evolving documentation and distributed data ownership.
Qualifications
  • Advanced degree in Data Science, Statistics, Economics, Computer Science, or a related field.
  • 5+ years of experience in data analytics, business intelligence, or a related discipline.

KNOWLEDGE/SKILLS/ABILITIES 

Required:

  • Advanced SQL skills with experience querying complex, multi-schema, multi-source data environments.
  • Strong experience delivering BI dashboards, recurring analytics, and ad hoc analysis for business stakeholders.
  • Demonstrated experience operating in decentralized or federated data environments.
  • Experience contributing to data inventories, cataloging efforts, or metric standardization initiatives.
  • Hands-on experience with modern BI and visualization tools (for example, Tableau, Power BI, Looker, or equivalent).

Preferred:

  • Experience with data modeling, analytics engineering, or data 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 Working Conditions

While performing the duties of this job, the employee is occasionally required to stand; walk; sit; use hands to finger, handle or feel objects, tools or controls; reach with hands and arms; climb stairs; talk or hear. The employee must have the ability to operate a personal computer and express or exchange ideas by means of the spoken word. May be required to sit and/or stand for long periods of time. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus. May be required to lift or move 10+ pounds.

SALARY AND BENEFITS

  • RealPage provides a competitive salary package along with a comprehensive benefit plan that includes:
  • Health, dental, and vision insurance.
  • Retirement savings plan with company match.
  • Paid time off and holidays.
  • Professional development opportunities.
  • Performance-based bonus based on position.

Compensation may vary depending on your location, qualifications including job-related education, training, experience, licensure, and certification, that could result at a level outside of these ranges. Certain roles are eligible for additional rewards, including annual bonus, and sales incentives depending on the terms of the applicable plan and role as well as individual performance.

Equal Opportunity Employer: RealPage Company is an equal opportunity employer and committed to creating an inclusive environment for all employees.

Pay RangeUSD $85,200.00 - USD $145,200.00 /Yr.Employment Type: OTHER