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Contract Junior Data Scientist Jobs in Renton, WA

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Data Scientist ll - Digital Intelligence

Seattle, WA · On-site

$140 - $190/hr

Support junior data scientists and analysts through code review, analytical feedback, and sharing effective modeling and validation practices. Job Requirements * Bachelor's, Master's, or Ph.D. in ...

Software Technology Inc

Data Scientist

Seattle, WA · On-site

Contract (C2C) Microsoft Fabric , Data scientist, Agentic AI Experience15 Years Start Date: ASAP ideal candidate will have strong experience building AI-driven solutions, developing machine learning ...

Block

Staff Product Data Scientist, Lending

Seattle, WA · On-site +1

Mentor and grow the team by developing junior data scientists, fostering a culture of analytical rigor and psychological safety, and contributing to hiring through interviews and calibrations You ...

Walmart

Principal, Data Scientist

Bellevue, WA · On-site

$132K - $264K/yr

Mentor and guide junior team members in achieving data science outcomes and handle multiple products and initiatives. * Follow industry best practices, stay up to date with and extend the ...

Walmart

Staff, Data Scientist

Bellevue, WA · On-site

$132K - $264K/yr

Mentor junior members and Individually execute multiple projects at the same time. * Manage the continuous improvement of data science and machine learning led initiatives by following industry best ...

Walmart

Principal, Data Scientist

Bellevue, WA · On-site

Mentor and guide junior team members in achieving data science outcomes andhandlemultiple products and initiatives. * Follow industry best practices, stay up to date withand extendthe ...

Launch Consulting

Sr. Data Scientist

Bellevue, WA · On-site

$140K - $180K/yr

Mentor and support the development of junior and mid-level data scientists through code reviews, pair programming, and knowledge sharing. * Communicate effectively across technical and non-technical ...

Vizio

Senior, Data Scientist

Lynnwood, WA · On-site

$108K - $216K/yr

Mentor junior team members on analytical methods, coding best practices, and business context understanding. What you'll bring: * Extensive experience in data science and advanced statistical methods ...

Vizio

Senior, Data Scientist

Federal Way, WA · On-site

$108K - $216K/yr

Mentor junior team members on analytical methods, coding best practices, and business context understanding. What you'll bring: * Extensive experience in data science and advanced statistical methods ...

Vizio

Senior, Data Scientist

Seattle, WA · On-site

$108K - $216K/yr

Mentor junior team members on analytical methods, coding best practices, and business context understanding. What you'll bring: * Extensive experience in data science and advanced statistical methods ...

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Contract Junior Data Scientist information

See Renton, WA salary details

$42.2K

$138.1K

$221K

How much do contract junior data scientist jobs pay per year?

As of Aug 11, 2026, the average yearly pay for contract junior data scientist in Renton, WA is $138,059.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,800.00 and $153,000.00 per year, depending on experience, location, and employer.
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Contract Junior Data Scientist jobs near you

Senior Data Scientist

Applexus Technologies (P) Ltd

Federal Way, WA • On-site

$120 - $150/hr

Other

Posted 5 days ago

Job description

We are seeking an experienced and highly motivated Senior Data Scientist to design, develop, and scale advanced machine learning solutions that deliver measurable business outcomes. The ideal candidate will possess deep expertise across classical machine learning techniques, architect end-to-end ML pipelines, and build production-grade AI/ML solutions at scale.

This role requires close collaboration with business stakeholders, analytics teams, data engineers, and technology leaders to solve complex business problems across domains such as Finance and Supply Chain.

Key Responsibilities
  • Work closely with business stakeholders to identify opportunities and translate business challenges into AI/ML solutions.
  • Design, develop, and deploy machine learning models using structured and unstructured data.
  • Apply advanced statistical and machine learning techniques including regression, classification, clustering, recommendation systems, and time-series forecasting.
  • Architect and implement end-to-end ML pipelines covering data ingestion, feature engineering, model training, validation, deployment, monitoring, and retraining.
  • Build scalable and production-ready ML systems using cloud-native technologies and MLOps best practices.
  • Drive model deployment through Docker, CI/CD pipelines, cloud-based serving infrastructure, and automated monitoring frameworks.
  • Establish robust monitoring mechanisms for model performance, data quality, drift detection, and retraining strategies.
  • Evaluate trade-offs between model accuracy, latency, scalability, and operational costs to deliver optimal business solutions.
  • Partner with data engineering teams to develop scalable data pipelines and feature stores.
  • Mentor junior data scientists and provide technical leadership on AI/ML initiatives.
  • Present findings, recommendations, and technical solutions to both business and executive stakeholders.
Qualifications Education

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.

Experience

8+ years of experience in Data Science, Machine Learning, or Artificial Intelligence.

Demonstrated success in developing and deploying production-grade machine learning systems.

Technical Skills

Deep expertise in classical machine learning techniques including:

  • Regression
  • Classification
  • Time-Series Forecasting
  • Strong understanding of statistics, probability, experimentation, and predictive modeling.
Programming & Frameworks

Proficiency in Python and SQL.

Experience with machine learning frameworks such as:

  • Scikit-learn
  • XGBoost
  • TensorFlow
  • PyTorch
MLOps & Deployment

Experience designing and implementing end-to-end ML pipelines.

Strong hands‑on experience with:

  • Docker
  • Model serving and deployment frameworks
  • Drift monitoring and model lifecycle management

Experience with cloud platforms such as AWS, Azure, or GCP.

Strong understanding of data architecture, ETL processes, APIs, and large-scale data processing.

Experience working with structured, semi-structured, and unstructured datasets.

Preferred Qualifications
  • Functional knowledge in at least one business domain: Finance
  • Supply Chain
  • Experience with Generative AI and Large Language Models (LLMs) is a plus.
  • Experience working in consulting or customer‑facing environments.
  • Strong solution architecture and system design capabilities.
  • Ability to architect AI/ML solutions at scale.
  • Expertise in balancing accuracy, latency, scalability, and cost considerations.
  • Excellent communication and stakeholder management skills.
  • Strong analytical thinking and problem‑solving abilities.
  • Ability to lead cross‑functional teams and mentor junior team members.
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