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

Weyerhauser Co

Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This role partners closely with source-system owners, analytics engineers, data scientists, and ... contracts, and runbooks so the platform is supportable by the broader team. * Mentor junior ...

Staffingine LLC

Artificial Intelligence Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Contract * Lead the development and deployment of machine learning models and analytical solutions for business problems. * Partner with stakeholders to identify opportunities for data science to add ...

Xaira Therapeutics

Contracts Manager

Seattle, WA

$101K - $135K/yr

... contract data is the foundation for analytics and AI-enabled operations. * Other duties as assigned. Qualifications * Bachelor's degree and 5+ years of experience in the life sciences industry ...

Salesforce, Inc.

Data Engineer - Senior/Lead

Seattle, WA · On-site

$120K - $163K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Sit alongside data scientists and strategy leads in planning, design reviews, and roadmap ... contracts) that the broader team can review, extend, and rely on. * Build the data pipelines ...

Socket.dev

Principal Data Engineer, Product Data

Bellevue, WA · On-site

$197 - $271/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... scientists to ensure data availability and integrity. As a Principal member of the team you will ... Champion Data Contracts: implement data contracts and schema evolution practices to ensure ...

New

Okta

Principal Data Engineer, Product Data

Bellevue, WA · On-site

$197K - $270K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... scientists to ensure data availability and integrity. As a Principal member of the team you will ... Champion Data Contracts: implement data contracts and schema evolution practices to ensure ...

Actalent

LC-MS Principal Scientist

Everett, WA

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Review laboratory records, procedures, and study data for completeness, accuracy, and compliance ... Experience working in a contract research organization (CRO) environment or in a bio/pharmaceutical ...

ProSidian Consulting

PPM Contract Analyst - WA

Seattle, WA

$78K - $95K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... American scientific agency within the United States Department of Commerce that focuses on the ... Provide management support to collect, evaluate and test financial data for a number of recurring ...

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Showing results 41-60

All JobsData Scientist Contract JobsData Scientist Contract Jobs in Bothell, WA

Data Scientist Contract information

See Bothell, WA salary details

$41.9K

$137.2K

$219.7K

How much do data scientist contract jobs pay per year?

As of Aug 15, 2026, the average yearly pay for data scientist contract 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 contract data scientist, and why are they important?

To thrive as a Data Scientist Contract, you need a strong background in statistics, data analysis, and programming, usually supported by a degree in a quantitative field. Proficiency with tools such as Python, R, SQL, machine learning libraries, and data visualization platforms is typically required, along with knowledge of cloud-based data environments. Excellent problem-solving abilities, adaptability, and strong communication skills help you translate complex data findings into actionable business insights. These skills ensure that contract data scientists can quickly deliver high-impact solutions and integrate seamlessly into diverse project teams.

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

AspectData Scientist ContractData Analyst Contract
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; experience with machine learningBachelor's in Statistics, Mathematics, or related fields; proficiency in data visualization and SQL
Work EnvironmentAdvanced analytics, predictive modeling, machine learning projectsData cleaning, reporting, data visualization tasks
Employer & Industry UsageTech companies, finance, healthcare, consultingRetail, marketing, finance, government agencies

Data Scientist Contract roles focus on advanced analytics and machine learning, requiring higher-level skills and credentials. Data Analyst Contract positions involve data reporting and visualization, often with less emphasis on predictive modeling. Both roles are common in various industries, but they differ in complexity and scope.

What is a data scientist contract?

Data Scientist contract jobs are temporary positions where professionals analyze and interpret complex data to help organizations make informed decisions. Unlike full-time roles, contract data scientists are hired for a specific period, often to work on particular projects or to provide specialized expertise. These contracts can range from a few months to a year or more, and may be offered through staffing agencies, consultancies, or directly by companies. Contract roles offer flexibility and exposure to diverse industries, but typically do not include employee benefits such as health insurance or paid time off.

What are some common challenges faced by data scientists working on a contract basis, and how can they be addressed?

Contract data scientists often face challenges such as quickly adapting to new teams and workflows, managing varying project scopes, and ensuring clear communication with stakeholders who may not have technical backgrounds. To address these, it's important to establish clear objectives and deliverables at the outset, maintain proactive communication, and document work thoroughly. Building strong relationships with both technical and non-technical team members can also help ensure project success and smooth collaboration.

What does a contract data scientist do?

As a contract data scientist, your job is to provide independent support to a client for a freelance project or assignment. In this role, you may analyze a database to obtain useful information, use statistics to interpret the results, help identify trends within the industry, and make recommendations about the best course of action. Contract data scientists often help analyze historical data, build or refine templates and dashboards, assist full-time employees, and use predictive modeling to evaluate future company needs. The length of each contract varies, but it's possible to work with the same company for a year or more.

More about Data Scientist Contract jobs

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The most popular types of Data Scientist jobs in Bothell, WA are:

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For Data Scientist Contract jobs in Bothell, WA, the most frequently searched job titles are:

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Data Scientist Contract jobs near you
Infographic showing various Data Scientist Contract job openings in Bothell, WA as of August 2026, with employment types broken down into 46% Full Time, 9% Part Time, and 45% Contract. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $137,208 per year, or $66 per hour.

Data Engineer

Weyerhauser Co

Seattle, WA • On-site

$130K - $156K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 23 days ago

Job description

About Weyerhaeuser
At Weyerhaeuser, we are the world's premier timber, land, and forest products company. Sustainability is the founding concept of our business and our values drive every decision to ensure we continue to lead the forestry industry in sustainability practices. And we know about sustainability - we led it in the forestry industry when we planted our first seedling by hand in 1938. We recognize that our success is dependent on the success of our people. For over 125 years, our Weyerhaeuser team has been making a difference in the world - from the seedlings we plant, to the forests and trees we nurture, we ensure every acre is managed with diligence, patience and pride. That's the Weyerhaeuser way.
About the Role
Weyerhaeuser's Data & Analytics team is looking for a Data Engineer to build and operate the data platform that powers reporting, analytics, and AI across the enterprise. This hands-on role focuses on building scalable, reliable, well-governed pipelines that move data. We invest heavily in template- and metadata-driven patterns, so onboarding a new source is a configuration exercise, not a net-new build.
We expect engineers to use AI as a force multiplier - both in how we build the platform (LLM-assisted development, testing, and documentation) and in what we deliver from it (AI-ready data products grounded in well-modeled sources). This role partners closely with source-system owners, analytics engineers, data scientists, and data analysts. It's well suited for someone who thrives in a fast-paced environment, has strong opinions about data quality and pipeline reliability, and is energized by building scalable foundations rather than one-off integrations.
Responsibilities
Ingestion & Integration
  • Design and maintain ingestion pipelines that move data from SAP, relational databases, flat files, REST APIs, message queues, and SaaS applications into our data lake/Snowflake.
  • Extend our metadata-driven and template-driven ADF pipeline frameworks so onboarding a new source is a configuration exercise - schema mapping, validation, and config, not handwritten pipelines.
  • Develop Python-based Azure Functions for custom ingestion logic, REST API integrations, paging/retry handling, and schema reconciliation.
  • Implement reliable full and incremental data load patterns - watermarking, CDC, late-arriving data, and replayable backfills.
  • Design, develop, and support our geospatial ETL tool data pipelines that ingest, transform, and complex location-based data from enterprise, operational, and third-party sources for analytics and reporting.
Modeling & Transformation
  • Land and preserve history of raw data in the Azure data lake or Snowflake (bronze), then build dbt models that conform, deduplicate, standardize, and enrich it into clean silver datasets.
  • Partner with analytics engineers and data analysts to build dimensional models and semantic views that enable AI-ready datasets.
Orchestration & Reliability
  • Orchestrate end-to-end workflows in Azure Data Factory - dependencies, parameterization, retries, dynamic parallelism, and error handling for complex multi-source pipelines.
  • Build monitoring, alerting, and own incident response - triage, root-cause analysis, and backfills, including occasional off-hours coverage for critical loads.
  • Tune pipelines and Snowflake workloads for performance and cost
Data Quality, Security & Governance
  • Implement data quality rules - schema validation, completeness, freshness, business-rule checks, and anomaly detection - wired into pipelines.
  • Apply security and compliance best practices and contribute to lineage, metadata, and catalog efforts.
Platform & Engineering Practices
  • Partner with Data Platform Engineers on Terraform-managed cloud resources, and CICD pipelines.
  • Drive engineering best practices - version control, testing, documentation, observability, and document pipelines, schemas, contracts, and runbooks so the platform is supportable by the broader team.
  • Mentor junior engineers, contribute to design reviews, and help evaluate new tools and patterns. Contribute to code reviews.
AI Enablement
  • Skilled in the use of AI assistants and LLM-powered tools to accelerate development, generate and improve tests, and produce or maintain documentation.
Collaboration
  • Partner with analytics engineers, data analysts, and data scientists to translate requirements into reliable raw data pipelines they can model into downstream products.
  • Communicate technical concepts and trade-offs clearly to both technical and non-technical audiences.

Qualifications
What You'll Have
Required
  • Bachelor's degree in Computer Science, Information Systems, Engineering or equivalent experience
  • 4+ years of hands-on data engineering experience building and operating production data pipelines from internal and external sources
  • Strong proficiency in Python (readable, maintainable) ad SQL.
  • Production experience with a cloud-based ingestion and orchestration platform - Azure Data Factory and Azure Functions preferred, though comparable tools (Fabric Pipelines, AWS Glue/Step Functions, Airflow, Dagster, Prefect, etc.) are acceptable - including parameterized, dynamic, and metadata-driven pipeline patterns.
  • Production experience with dbt or a comparable transformation framework, including building and choosing across materialization patterns (views, tables, incremental, ephemeral, snapshots), test coverage, documentation, and history preservation.
  • Production experience with Snowflake or similar data platform: loading patterns, role-based access, performance tuning, and cost-aware design.
  • Demonstrated experience ingesting from a variety of sources: relational databases, SAP, flat files, REST APIs (JSON/XML), and SaaS applications.
  • Experience implementing incremental/delta load patterns and managing watermarking, CDC, schema evolution, and backfills.
  • Working knowledge of Terraform for provisioning Azure and/or Snowflake resources.
  • Solid understanding of data quality, monitoring, alerting, and operational support practices.
  • Working proficiency with Git, pull-request workflows, and CI/CD pipelines for data - code review, automated testing, and promotion across environments are part of how you ship.
  • AI in your engineering workflow - demonstrated use of AI assistants and LLM-powered tools to accelerate development, generate and improve tests, and produce or maintain documentation.
  • Track record of owning reliability - not just shipping features, but keeping data flowing cleanly over time.
  • Strong communication skills and the ability to work cross-functionally with engineering, analytics, and business teams.
Preferred
  • Exposure or familiarly working with geo-spatial datasets and using geo-spatial functions
  • Exposure or familiarity with Iceberg table structures and operations
  • Experience designing reusable, config-driven ingestion frameworks at scale.
  • Exposure to streaming or near-real-time ingestion (Event Hubs, Kafka, or similar).
  • Familiarity with data governance, lineage, and catalog tooling.
  • Experience with BI tools such as Power BI in a downstream/consumer context.
  • Experience working with manufacturing, supply chain, or forestry/natural-resources data domains.
Location: This role will be based out of our corporate office in Seattle, WA.
What We Offer:
Compensation: This role is eligible for our annual merit-increase program, and we are targeting a salary range of $98,811-$148,217 based on your level of skills, qualifications and experience. You will also be eligible for our Annual Incentive Program, which offers a cash bonus targeting 10% of base pay. Potential plan funding may range from zero to two times that target.
Benefits: When you join our team, you and your dependents will be offered coverage under our comprehensive employee benefits plan, which includes medical, dental, vision, short and long-term disability, and life insurance. We offer a pre-tax Health Savings Account option which includes a company contribution. Other benefit options are also available such as voluntary Long-Term Care and Employee Assistance Programs. We also support personal volunteerism, sponsor a host of diversity networks, promote mentoring, and provide training and development opportunities to help you chart your path to a fulfilling career.
Retirement: Employees are able to enroll in our company's 401k plan, which includes a paid company match in addition to our annual contribution equal to 5% of your base salary.
Paid Time Off or Vacation: We provide eligible employees who are scheduled to work 25 hours or more per week with 3-weeks of paid vacation to use during your first year of employment. In addition, after being employed for six months, eligible employees begin to accrue vacation for future use. We also recognize eleven paid holidays per year, providing a total of 88 holiday hours and paid parental leave for all full-time employees.
Weyerhaeuser is an equal opportunity employer. Inclusion is one of our five core values and we strive to maintain a culture where all our people feel a sense of belonging, opportunity and shared purpose. We are committed to recruiting a diverse workforce and supporting an equitable and inclusive environment that inspires people of all backgrounds to join, stay and thrive with our team.

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