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

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Remote Data Science information

See Kennewick, WA salary details

$23K

$102.2K

$195.1K

How much do remote data science jobs pay per year?

As of Sep 8, 2026, the average yearly pay for remote data science in Kennewick, WA is $102,219.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,801.00 and $141,781.00 per year, depending on experience, location, and employer.

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.

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 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 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.

Can I work remotely as a data scientist?

Yes, many data scientist roles are available as remote positions, especially in companies that prioritize flexible work arrangements. Remote data scientists typically need strong skills in programming, data analysis, and tools like Python or R, and may require familiarity with cloud platforms and collaboration tools. Availability depends on the employer's policies and the specific job requirements.
More about Remote Data Science jobs

What are the most commonly searched types of Data Science jobs in Kennewick, WA?

The most popular types of Data Science jobs in Kennewick, WA are:

What job categories do people searching Remote Data Science jobs in Kennewick, WA look for?

The top searched job categories for Remote Data Science jobs in Kennewick, WA are:

What cities near Kennewick, WA are hiring for Remote Data Science jobs?

Cities near Kennewick, WA with the most Remote Data Science job openings:

Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Kennewick, WA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $102,219 per year, or $49.1 per hour.

Management and Data Architecture Specialist

KBH Industrial

Richland, WA • Remote

$55.79 - $135.21/hr

Full-time

Medical, Dental, Vision, Retirement

Posted 4 days ago

Job description

KBH | Richland, Washington | Employment Type: Contract

About Us

KBH Industrial is a trusted resource for utilities and channel partners across the energy and industrial sectors, providing project management, project controls, senior consulting, and specialized technical support. Founded on the principle of people-first, honesty, collaboration and safety, KBH places skilled professionals in critical individual roles, working side by side with client teams to deliver deep expertise and dependable results.

Job Summary

  • We are seeking a highly organized and technically proficient Management and Data Architecture Specialist to support the development, integration, and lifecycle management of project requirements and structured technical data.
  • This role combines requirements management expertise with data architecture skills to ensure that project information is accurately captured, traceable, and consistently managed across requirements, project management, and asset management systems.

Principal Accountabilities

  • Elicit, analyze, and document functional and non-functional requirements.
  • Maintain and organize requirements within a structured requirements management database.
  • Establish and manage traceability between requirements, design documents, test cases, and verification activities.
  • Collaborate with licensing, engineering, project management, and technical stakeholders to clarify expectations and resolve ambiguities.
  • Support change management processes, including impact assessments and requirements updates.
  • Generate requirements reports, traceability matrices, and performance metrics using established tools and data sources.
  • Working under supervisory direction, develop and implement methodologies for importing project data into requirements management, project management, and asset management platforms.
  • Assist in defining data structures, mappings, and workflows that improve data consistency, quality, and usability across systems.
  • Partner with cross-functional teams to ensure data governance practices are followed and that system integrations meet project needs.

Skills and Experience

  • Demonstrated experience in requirements management.
  • Strong proficiency with Microsoft Excel, including organizing, analyzing, and presenting requirement datasets.
  • Ability to interpret technical documentation and translate stakeholder needs into clear, actionable requirements.
  • Strong analytical, organizational, and communication skills.

Required Skills and Experience

  • Demonstrated experience in requirements management.
  • Strong proficiency with Microsoft Excel, including organizing, analyzing, and presenting requirement datasets.
  • Ability to interpret technical documentation and translate stakeholder needs into clear, actionable requirements.
  • Strong analytical, organizational, and communication skills.

Preferred Skills and Experience

  • Experience with Python programming language for automation, data processing, or requirements validation workflows.
  • Familiarity with relational databases and structured query concepts.
  • Understanding of systems engineering principles or regulated development environments.
  • Hands-on experience with at least one requirements management platform (e.g., IBM Rational DOORS, Jama Connect, Polarion).
  • Hands-on experience with at least one project management platform (e.g., Atlassian Jira).
  • Hands-on experience with at least one asset management platform (e.g., Hitachi Energy Asset Suite).

Education and Work Background

  • Bachelor's degree in engineering, computer science, information systems, data management, or a related field (or equivalent experience).
  • Prior experience working in technical, engineering, or complex project environments is beneficial.

Additional Information

  • U.S. Citizenship Required
  • Schedule: 4 days x 10 hours
  • Remote work: No
  • Per Diem: Yes
  • Expense Eligible: Yes
  • Being On Call required for role: No
  • Are Certificates Required for this Position? No
  • Badge Level: Blue Badge

The expected base salary for this position ranges from $55.79 to $135.21/hour

Salary offers are based on a wide range of factors including relevant skills, training, experience, education, market factors, and where applicable, licensure or certifications obtained

Benefits

KBH offers a comprehensive benefits package, including medical, dental, and vision coverage, paid parental leave, a 401(k) program, and other employee perks to support your health, financial security, and work-life balance.