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

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 ...

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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 ...

Launch Consulting

Sr. Data Scientist

Bellevue, WA · On-site

$140K - $180K/yr

For senior professionals ready to shape the future of AI and Data Science, your next big ... Mentor and support the development of junior and mid-level data scientists through code reviews ...

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 ...

Block

Staff Product Data Scientist, Lending

Seattle, WA · On-site +1

... Science work with broader strategy. * Mentor and grow the team by developing junior data scientists, fostering a culture of analytical rigor and psychological safety, and contributing to hiring ...

Vizio

Senior, Data Scientist

Issaquah, 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

Renton, 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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All JobsData Science JobsData Science Junior JobsData Science Junior Jobs in Seattle, WA

Data Science Junior information

See Seattle, WA salary details

$39.3K

$90.3K

$145.1K

How much do data science junior jobs pay per year?

As of Aug 21, 2026, the average yearly pay for data science junior in Seattle, WA is $90,304.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,900.00 and $92,700.00 per year, depending on experience, location, and employer.

What is a data science junior?

A Data Science Junior is an entry-level role in data science where professionals assist in analyzing data, building models, and generating insights. They work under the guidance of senior data scientists, helping with data cleaning, visualization, and basic machine learning tasks. This role requires proficiency in programming languages like Python or R, knowledge of statistics, and familiarity with data manipulation tools. It serves as a foundation for gaining hands-on experience and advancing in the data science field.

What are the typical daily responsibilities of a data science junior?

As a Data Science Junior, your daily tasks often include cleaning and preparing data sets, conducting exploratory data analyses, and supporting the development of predictive models under the guidance of senior team members. You may also assist in visualizing data and preparing reports to help communicate insights to both technical and non-technical stakeholders. Collaboration is a key part of the role, as you'll frequently work with data engineers, analysts, and business teams to understand project goals. These responsibilities help you build foundational skills and gain exposure to a variety of real-world data problems early in your career.

What are the key skills and qualifications needed to thrive as a data science junior?

To thrive as a Data Science Junior, a strong understanding of statistics, mathematics, and data analysis is essential, often supported by a bachelor's degree in a related field. Familiarity with programming languages like Python or R, as well as tools such as SQL and visualization platforms, is typically required. Strong problem-solving abilities, effective communication, and a willingness to learn make candidates stand out in this role. These skills enable efficient data exploration, clear communication of insights, and successful collaboration on data-driven projects.

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 are popular job titles related to Data Science Junior jobs in Seattle, WA?

For Data Science Junior jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Data Science Junior jobs in Seattle, WA look for?

The top searched job categories for Data Science Junior jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Data Science Junior jobs?

Cities near Seattle, WA with the most Data Science Junior job openings:

Data Science Junior jobs near you
Infographic showing various Data Science Junior job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $90,304 per year, or $43.4 per hour.

Senior Data Scientist

Applexus Technologies (P) Ltd

Federal Way, WA • On-site

$120 - $150/hr

Other

Posted 16 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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