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Entry Level Data Scientist Jobs in Renton, WA (NOW HIRING)

Knowledge of internet security and data privacy principles * Basic troubleshooting skills ... BSc/BA in Computer Science, engineering or relevant field * Relevant certifications (e.g. CompTIA A ...

Civil Engineer I

Snoqualmie, WA · On-site

$80K - $115K/yr

The engineer shall possess entry level experience and/or understanding of civil and structural ... Acquires performance data from new and existing equipment or systems and validates against design ...

Civil Engineer I

Snoqualmie, WA · On-site

$80K - $115K/yr

The engineer shall possess entry level experience and/or understanding of civil and structural ... Acquires performance data from new and existing equipment or systems and validates against design ...

The engineer shall possess entry level experience and/or understanding of civil and structural ... Acquires performance data from new and existing equipment or systems and validates against design ...

Civil Engineer I

Snoqualmie, WA · On-site

$80K - $115K/yr

The engineer shall possess entry level experience and/or understanding of civil and structural ... Acquires performance data from new and existing equipment or systems and validates against design ...

... Biomedical Science, Computer and Information Science, Data Processing/Analytics/Science ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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Entry Level Data Scientist information

See Renton, WA salary details

$51.9K

$186.3K

$275K

How much do entry level data scientist jobs pay per year?

As of Jul 14, 2026, the average yearly pay for entry level data scientist in Renton, WA is $186,345.00, according to ZipRecruiter salary data. Most workers in this role earn between $150,800.00 and $192,000.00 per year, depending on experience, location, and employer.

What Does an Entry-Level Data Scientist Do?

An entry-level data scientist works to examine, interpret, and collect large sets of data. In this role, your responsibilities include extracting and processing information to find patterns and trends, using technology to analyze data, and creating a machine-learning algorithm or predictive model for data analysis. Other duties include proposing strategies and solutions based on the information you derived from a data set, using ensemble modeling to combine models, automating processes to collect data, discovering valuable data sources, and using data visualization techniques to present information. You often collaborate with product development and engineering teams.

What does an Entry Level Data Scientist do?

An Entry Level Data Scientist helps organizations analyze and interpret large sets of data to solve business problems. They typically assist with data cleaning, exploratory data analysis, and building simple machine learning models under the supervision of more experienced data scientists. Their work often involves using programming languages like Python or R, and tools such as SQL and data visualization software. Entry level data scientists also collaborate with other team members to communicate findings and support data-driven decision-making.

What are some typical challenges faced by entry level data scientists in their first year on the job?

Entry level data scientists often encounter challenges such as working with messy or incomplete datasets, adapting to unfamiliar data tools and company-specific processes, and translating business problems into actionable data analyses. They may also find it challenging to communicate technical findings to non-technical stakeholders and to prioritize projects in a fast-paced environment. Building strong relationships with colleagues in engineering, business, and analytics teams is key to overcoming these challenges and accelerating learning.

What are the key skills and qualifications needed to thrive as an Entry Level Data Scientist, and why are they important?

To thrive as an Entry Level Data Scientist, you need a solid foundation in statistics, programming (typically Python or R), and data analysis, often supported by a degree in a quantitative field such as mathematics, computer science, or engineering. Familiarity with tools like SQL, Jupyter Notebooks, and machine learning libraries (e.g., scikit-learn, TensorFlow) is commonly expected. Strong problem-solving skills, curiosity, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These abilities enable you to extract actionable insights from data, support business decisions, and contribute value to data-driven organizations.

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

AspectEntry Level Data ScientistData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some knowledge of programming and machine learningBachelor's in Business, Statistics, or related field; strong Excel, SQL, and visualization skills
Work EnvironmentCollaborates with data science teams, uses programming languages like Python or R, focuses on predictive modelingWorks with business teams, uses SQL, Excel, and BI tools, focuses on reporting and data visualization
Employer & Industry UsageTech companies, finance, healthcare, startupsRetail, marketing, finance, healthcare, government

Entry Level Data Scientists and Data Analysts often share foundational skills like SQL and data visualization. However, data scientists typically focus on building predictive models and machine learning algorithms, requiring programming knowledge, while data analysts concentrate on interpreting data through reports and dashboards. Both roles are essential in data-driven organizations but differ in technical depth and project scope.

What are the most commonly searched types of Data Scientist jobs in Renton, WA? The most popular types of Data Scientist jobs in Renton, WA are:
What are popular job titles related to Entry Level Data Scientist jobs in Renton, WA? For Entry Level Data Scientist jobs in Renton, WA, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Scientist jobs in Renton, WA look for? The top searched job categories for Entry Level Data Scientist jobs in Renton, WA are:
What cities near Renton, WA are hiring for Entry Level Data Scientist jobs? Cities near Renton, WA with the most Entry Level Data Scientist job openings:
Entry Level Cybersecurity Systems Engineer

Entry Level Cybersecurity Systems Engineer

General Dynamics Mission Systems, Inc

Port Orchard, WA • On-site

$85K - $95K/yr

Other

Medical, Retirement

Posted 11 days ago


General Dynamics Mission Systems rating

7.7

Company rating: 7.7 out of 10

Based on 29 frontline employees who took The Breakroom Quiz

121st of 209 rated software companies


Job description

Basic Qualifications
Bachelor's degree in Engineering, or a related Science or Mathematics field, plus 1 year relevant experience; or Master's degree.
CLEARANCE REQUIREMENTS: Department of Defense Secret Security clearance is required within a reasonable period of time. Applicants selected will be subject to a U.S. Government security investigation and must meet eligibility requirements for access to classified information. Due to the nature of work performed within our facilities, U.S. citizenship is required.
Responsibilities for this Position
PRIMARY RESPONSIBILITIES
  • Shepherd multiple Navy information systems through the full ATO lifecycle (Categorize, Select, Implement, Assess, Authorize, Monitor)
  • Build and maintain authorization package artifacts: SSPs, SAPs, SARs, RARs, POA&Ms, architectural diagrams, HW/SW inventories, and continuous monitoring strategies
  • Develop, review, and maintain authorization boundary diagrams that clearly delineate system scope, data flows, interconnections, and external interfaces
  • Assess and validate NIST SP 800-53 security controls; write control satisfaction narratives with rigor to withstand SCA/AO scrutiny
  • Implement and validate STIGs across diverse system components; track findings through resolution or risk acceptance
  • Conduct vulnerability scans (ACAS/Nessus, SCAP), interpret results, and translate findings into remediation plans and residual risk determinations
  • Manage POA&M items - creation, milestone tracking, risk characterization, and closure with evidence
  • Support continuous monitoring including periodic control assessments, ongoing authorization evidence collection, and change-impact analysis
  • Integrate security assessment activities into DevSecOps CI/CD pipelines where applicable

KNOWLEDGE, SKILLS AND ABILITIES
  • Experience executing the RMF lifecycle (NIST SP 800-37) from categorization (FIPS 199/CNSSI 1253) through ATO and continuous monitoring
  • Control Assessment: Knowledge of NIST SP 800-53; ability to assess implementations, write defensible narratives, and identify gaps
  • STIG Implementation: Experience applying and verifying STIGs across OSes, network devices, databases, and applications using STIG Viewer and SCAP tools
  • Vulnerability Management: Experience with ACAS/Nessus; ability to interpret results and drive remediation
  • Documentation: Ability to produce and maintain RMF artifacts (SSPs, SARs, SAPs, RARs, POA&Ms) that satisfy RMF requirements
  • Stakeholder Communication: Can translate technical findings into risk-informed language for system owners and PMs
  • Systems Engineering Foundation: Understanding of system architectures, data flows, boundaries, and how security requirements map to implementations

WHAT SETS YOU APART
  • Experience with Navy RMF implementation, including Navy-specific overlays, NAVSEA processes, and authorization workflows
  • Experience with eMASS and VRAM
  • Experience with DoD cloud authorization (IL4-IL6), FedRAMP reciprocity, or container security (Kubernetes/OpenShift)
  • Relevant certifications: Security+, CISSP, and/or AWS security certs
  • Experience with DevSecOps toolchains and security gates in CI/CD pipelines
  • Experience supporting SCA evaluations or serving as an ISSE
  • Works independently under limited direction across concurrent efforts
  • Identifies opportunities to apply AI for continuous improvement and innovation
  • Active Secret clearance (or ability to get one within a reasonable amount of time)

Our Commitment to You:
  • An exciting career path with opportunities for continuous learning and development.
  • Research oriented work, alongside award winning teams developing practical solutions for our nation's security
  • Flexible schedules with every other Friday off work, if desired (9/80 schedule)
  • Competitive benefits, including 401k matching, flex time off, paid parental leave, healthcare benefits, health & wellness programs, employee resource and social groups, and more
  • See more at gdmissionsystems.com/careers/why-work-for-us/benefits

Workplace Options:
This position is fully on-site. While on-site, you will be a part of our Port Orchard, WA facility.
Salary Note
This estimate represents the typical salary range for this position based on experience and other factors (geographic location, etc.). Actual pay may vary. This job posting will remain open until the position is filled.
Combined Salary Range
USD $85,807.00 - USD $95,193.00 /Yr.
Company Overview
General Dynamics Mission Systems (GDMS) engineers a diverse portfolio of high technology solutions, products and services that enable customers to successfully execute missions across all domains of operation. With a global team of 12,000+ top professionals, we partner with the best in industry to expand the bounds of innovation in the defense and scientific arenas. Given the nature of our work and who we are, we value trust, honesty, alignment and transparency. We offer highly competitive benefits and pride ourselves in being a great place to work with a shared sense of purpose. You will also enjoy a flexible work environment where contributions are recognized and rewarded. If who we are and what we do resonates with you, we invite you to join our high-performance team!
Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

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