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Entry Data Scientist Jobs in Seattle, WA (NOW HIRING)

Globenet Consulting Corp

Decision Scientist

Bellevue, WA · On-site

$120 - $180/hr

Work with large-scale data across cloud and on-premises environments * Build AI-enabled analytics ... Key Success Measures Success may be measured through digital experience performance, order-entry ...

Globenet Consulting Corp

Decision Scientist

Lynnwood, WA · On-site

$50 - $55/hr

Work with large-scale data across cloud and on-premises environments * Build AI-enabled analytics ... Key Success Measures Success may be measured through digital experience performance, order-entry ...

Labcorp

Data Entry/Specimen Proccessor

Seattle, WA

$21.30 - $31.71/hr

Through our unparalleled science, data, technology and laboratory network, we advance diagnostics ... Scan and/or data entry of specimen and patient information * Ensure all lab equipment is working ...

Labcorp

Data Entry/Specimen Proccessor

Seattle, WA · On-site

$21.30 - $31.71/hr

Through our unparalleled science, data, technology and laboratory network, we advance diagnostics ... Scan and/or data entry of specimen and patient information * Ensure all lab equipment is working ...

WSP

Associate Environmental Scientist

Redmond, WA · On-site

$84K - $110K/yr

... data entry, impact assessment, and assist with permitting activities for assigned projects (e.g ... Perform professional environmental science work and assist with conducting investigations ...

WSP

Associate Environmental Scientist

Redmond, WA · On-site

$84K - $110K/yr

... data entry, impact assessment, and assist with permitting activities for assigned projects (e.g ... Perform professional environmental science work and assist with conducting investigations ...

WSP

Associate Environmental Scientist

Redmond, WA · On-site

$76.60 - $90.30/hr

... data entry, impact assessment, and assist with permitting activities for assigned projects (e.g ... Perform professional environmental science work and assist with conducting investigations ...

Phenom People

Research Scientist 2

Seattle, WA · On-site

... entry assays, and protein purification. General Duties Creation and optimization of metagenomic ... Contribute data and analyses for grant submissions and assist in the preparation of publications ...

Phenom People

Research Scientist 2

Seattle, WA · On-site

... entry assays, and protein purification. General Duties Creation and optimization of metagenomic ... Contribute data and analyses for grant submissions and assist in the preparation of publications ...

Uw

Temporary Part-Time Data Collector

Seattle, WA · On-site

$35/hr

... data entry and processing, and composing and editing research briefs, technical reports ... Apply scientific knowledge of standardized assessments, coding for reliability, child development ...

FHLB Des Moines

Research Scientist/Engr 4

Seattle, WA · On-site

$99.44 - $122.12/hr

... data to help determining the research strategy,10% Lead projects and/or major project tasks,10% ... Cryo-electron microscopy, virology assays (pseudotyped virus generation, cellular entry and ...

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Showing results 1-20

All JobsEntry Data Scientist JobsEntry Data Scientist Jobs in Seattle, WA

Entry Data Scientist information

See Seattle, WA salary details

$52.3K

$187.8K

$277.1K

How much do entry data scientist jobs pay per year?

As of Aug 28, 2026, the average yearly pay for entry data scientist in Seattle, WA is $187,795.00, according to ZipRecruiter salary data. Most workers in this role earn between $151,900.00 and $193,500.00 per year, depending on experience, location, and employer.

What is an entry data scientist?

Entry Data Scientists are professionals at the beginning of their data science careers who use statistical analysis, programming, and data visualization to extract meaningful insights from data. They typically work with large datasets, clean and preprocess data, build and test models, and help solve business problems using data-driven approaches. Entry-level data scientists often collaborate with more experienced data scientists, engineers, and business stakeholders to support projects and improve decision-making processes. They usually have foundational knowledge in mathematics, statistics, and programming languages like Python or R.

What types of projects and responsibilities can an entry data scientist expect in their first year?

As an entry-level data scientist, you'll typically work on tasks such as cleaning and preprocessing data, building simple predictive models, and assisting with data visualization for reporting. You may collaborate closely with more experienced data scientists, data engineers, and business analysts to help frame business problems into analytical solutions. It's common to contribute to parts of larger projects, such as supporting feature engineering or testing model performance, while learning best practices in coding and data analysis. Over time, you may be given ownership of small projects, which helps build your expertise and prepares you for more complex assignments.

What are the key skills and qualifications needed to thrive as an entry data scientist, and why are they important?

To thrive as an Entry Data Scientist, you need a solid grasp of statistics, data analysis, and programming languages like Python or R, typically supported by a degree in a quantitative field. Familiarity with tools such as SQL, machine learning libraries (e.g., scikit-learn, TensorFlow), and data visualization platforms is highly valuable. Strong problem-solving abilities, curiosity, and effective communication skills set successful candidates apart in this role. These competencies enable you to extract actionable insights from data and collaborate effectively with technical and non-technical stakeholders.

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

AspectEntry Data ScientistData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some knowledge of programming and machine learningBachelor's in Math, Statistics, or related field; strong Excel and data visualization skills
Work EnvironmentCollaborates with data science teams, develops models, and explores dataPrepares reports, interprets data, and supports decision-making
Industry UsageUsed in tech, finance, healthcare, and more for predictive modelingCommon across marketing, finance, and operations for reporting and analysis

Entry Data Scientists focus on building models and applying machine learning techniques, often requiring programming skills. Data Analysts primarily interpret data, create reports, and support business decisions. While both roles work with data, Entry Data Scientists tend to handle more technical tasks involving modeling, whereas Data Analysts focus on data interpretation and visualization.

Can I get an entry data scientist job with no experience?

Entry data scientist roles typically require some knowledge of programming, statistics, and data analysis tools like Python or R. While prior experience is often preferred, candidates with relevant coursework, internships, or strong analytical skills can sometimes qualify for entry-level positions. Building a portfolio of projects and obtaining certifications can improve chances of securing such roles without formal work experience.

How to start a career in data science with no experience?

Entry data scientists can begin by building foundational skills in programming languages like Python or R, and learning data analysis and visualization tools such as SQL and Tableau. Gaining hands-on experience through online courses, tutorials, and personal projects helps demonstrate competence to employers. Earning certifications like those from Coursera or edX can also enhance credibility and improve job prospects.

What are popular job titles related to Entry Data Scientist jobs in Seattle, WA?

For Entry Data Scientist jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Entry Data Scientist jobs in Seattle, WA look for?

The top searched job categories for Entry Data Scientist jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Entry Data Scientist jobs?

Cities near Seattle, WA with the most Entry Data Scientist job openings:

Entry Data Scientist jobs near you
Infographic showing various Entry Data Scientist job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $187,795 per year, or $90.3 per hour.

Decision Scientist

Bellevue, WA • On-site

Globenet Consulting Corp
See more jobs at Globenet Consulting Corpexternal

$120 - $180/hr

Other

Posted 10 days ago

Job description

Benefits:

  • Competitive salary
  • Opportunity for advancement
  • Training & development
Decision Scientist

About the Role

The Decision Scientist will partner with Digital Product Managers, Engineering, UX, Operations, and Analytics teams to drive data-informed decisions across digital ordering experiences.

This role combines advanced analytics, experimentation, forecasting, AI-enabled insights, and business performance analysis to improve digital experiences, operational efficiency, and product outcomes. The ideal candidate brings strong analytical expertise, business acumen, and the ability to translate complex findings into clear recommendations for product leaders and senior executives.

Benefits and Opportunities

  • Influence product strategy, roadmap priorities, and investment decisions
  • Work with large-scale data across cloud and on-premises environments
  • Build AI-enabled analytics tools and self-service reporting capabilities
  • Lead experimentation, forecasting, and product measurement initiatives
  • Collaborate with cross-functional product, engineering, UX, and operations teams

Core Responsibilities

Product Analytics and Decision Support

  • Analyze product, operational, transaction, and digital experience performance to identify trends, risks, root causes, and opportunities.
  • Develop recommendations that influence product prioritization, roadmap planning, feature optimization, and investment decisions.
  • Build analytical models, forecasts, scenario-planning tools, and opportunity-sizing assessments.
  • Define key performance indicators and monitor product, operational, and business outcomes.
  • Quantify business impact and measure return on investment for product initiatives.

Experimentation and Product Measurement

  • Define measurement strategies and success criteria for new products, features, and digital experiences.
  • Design and evaluate A/B tests, pilots, and experiments.
  • Measure adoption, engagement, conversion, transaction success, operational efficiency, and feature utilization.
  • Create standardized product measurement frameworks across platforms and channels.
  • Evaluate pilot results and provide recommendations for broader implementation.

Dashboards, Data Products, and AI Enablement

  • Build and maintain product health scorecards, performance dashboards, and automated reporting solutions.
  • Develop AI-enabled and self-service analytics tools for product teams.
  • Automate recurring analysis, monitoring, and reporting activities.
  • Partner with data engineering and analytics teams to improve data quality, accessibility, and reporting capabilities.
  • Enhance existing dashboards and data products based on evolving business needs.

Business Problem-Solving and Communication

  • Lead analysis of complex and ambiguous business questions.
  • Develop hypotheses, research approaches, measurement plans, and actionable recommendations.
  • Translate technical analysis into clear business implications.
  • Create executive-ready presentations covering performance, risks, opportunities, and recommended actions.
  • Present findings to product leadership and senior executives.
  • Promote best practices in decision science, experimentation, product analytics, and AI-enabled reporting.

Required Qualifications

  • Bachelor's degree in analytics, data science, statistics, economics, business, computer science, or a related field preferred.
  • At least four years of experience in strategic analytics, product analytics, or decision support.
  • At least five years of experience communicating analytical findings and producing detail-oriented deliverables.
  • Advanced proficiency in SQL, Excel, Python, R, SAS, Tableau, or Power BI.
  • Experience with Azure Data Lake Storage, Azure SQL Server, Oracle, AWS, on-premises systems, and web-based data sources.
  • Experience performing exploratory data analysis, data cleansing, transformation, aggregation, and large-scale data manipulation.
  • Knowledge of experimental design, A/B testing, forecasting, and scenario planning.
  • Ability to explain complex technical findings to non-technical audiences.
  • Strong business acumen and understanding of operational and digital product processes.

Technology

  • Azure
  • Oracle
  • SQL Server
  • Python, R, and SAS
  • Tableau or Power BI
  • Microsoft Office Suite
  • Smartsheet

Preferred: Experience with Databricks.

Key Success Measures

Success may be measured through digital experience performance, order-entry speed, error rates, adoption, engagement, cart completion, checkout success, payment speed, transaction reliability, order accuracy, throughput, peak-hour performance, feature utilization, and satisfaction indicators.

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