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Entry Level Data Science Jobs in Spokane, WA (NOW HIRING)

Nuvodia

AI Solutions Engineer I (NUVO)

Spokane Valley, WA · On-site

$31.57 - $50.76/hr

This entry-level position supports the design, development and deployment of GenAI-powered tools ... Bachelor's Degree in Software Engineering, AI, Data Science or equivalent experience. * Experience:

Avista

Natural Resource Technician

Spokane, WA · On-site

$25.28 - $32.35/hr

Assists the Environmental Scientist in providing technical expertise and implementing the physical ... applications, and data entry. * Ability to compose clear, concise, and accurate written ...

Keytronic

Associate Test Engineer

Spokane Valley, WA

$26 - $32/hr

... and data collection. ESSENTIAL FUNCTIONS: (Reasonable accommodations may be made to enable ... Bachelor of Science degree in electrical or mechanical engineering. * Entry level position with ...

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Entry Level Data Science information

See Spokane, WA salary details

$10

$19

$27

How much do entry level data science jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for entry level data science in Spokane, WA is $19.26, according to ZipRecruiter salary data. Most workers in this role earn between $16.30 and $21.63 per hour, depending on experience, location, and employer.

Are there entry-level data science roles?

Yes, entry-level data science roles are available and typically require foundational skills in programming, statistics, and data analysis, often using tools like Python or R. These positions are suitable for recent graduates or those transitioning into data science and may involve internships or junior analyst roles to build experience.

Is 40 too late for data science?

Entry level data science roles are open to candidates of all ages, including those starting a career at 40 or older. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, often through online courses or certifications, regardless of age.

What are entry level data science jobs?

Entry level data science jobs are positions designed for individuals who are starting their careers in the field of data science, often requiring minimal professional experience. These roles typically involve working with data collection, cleaning, and analysis, as well as assisting more senior data scientists with projects. Entry level data scientists are expected to have a foundational understanding of statistics, programming (often in Python or R), and basic machine learning concepts. They may work in various industries, helping organizations gain insights from data to support decision-making.

How do I become a data scientist with no experience?

To become an entry-level data scientist with no experience, focus on building foundational skills in programming (Python or R), statistics, and data analysis through online courses and tutorials. Gaining practical experience by working on personal projects, participating in competitions like Kaggle, and learning tools such as SQL and machine learning libraries can help demonstrate your abilities to employers.

What types of projects or tasks can I expect to work on as an entry-level data scientist?

As an entry-level data scientist, you'll typically work on tasks such as data cleaning, exploratory data analysis, and supporting the development of predictive models. You may also assist in preparing datasets, generating reports, and visualizing data for stakeholders. Collaboration with more senior data scientists and cross-functional teams like engineering or business analysts is common, giving you opportunities to learn and grow your technical and communication skills. These foundational projects are essential for building your expertise and preparing for more complex responsibilities as you advance in your career.

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 strong background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree such as computer science, mathematics, or statistics. Familiarity with technical tools like SQL databases, data visualization software (e.g., Tableau), and machine learning libraries (such as scikit-learn or TensorFlow) is commonly expected. Curiosity, problem-solving ability, and effective communication help you interpret data insights and collaborate with diverse teams. These skills ensure you can extract meaningful insights from data, contribute to data-driven decision-making, and grow within the analytics field.

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

AspectEntry Level Data ScienceData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some certificationsBachelor's in Business, Statistics, or related field; certifications optional
Work EnvironmentTech companies, startups, research labsBusiness, marketing, finance sectors
Employer & Industry UsageData-driven roles in tech and researchBusiness insights, reporting, and visualization
Common Search & ComparisonYesYes

Entry Level Data Science and Data Analyst roles often share similar educational backgrounds and work environments. However, data scientists typically focus on building models and advanced analytics, while data analysts concentrate on interpreting data and creating reports. Both roles are essential in data-driven organizations, but they differ in technical complexity and scope.

Can I get a data scientist job with no experience?

Entry-level data science positions often require some knowledge of programming, statistics, and data analysis tools like Python or R. While prior experience is not always mandatory, demonstrating relevant skills through projects, certifications, or internships can improve your chances of securing such roles.
What are the most commonly searched types of Data Science jobs in Spokane, WA? The most popular types of Data Science jobs in Spokane, WA are:
What are popular job titles related to Entry Level Data Science jobs in Spokane, WA? For Entry Level Data Science jobs in Spokane, WA, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Science jobs in Spokane, WA look for? The top searched job categories for Entry Level Data Science jobs in Spokane, WA are:
What cities near Spokane, WA are hiring for Entry Level Data Science jobs? Cities near Spokane, WA with the most Entry Level Data Science job openings:
Entry Level Data Science jobs near you
Infographic showing various Entry Level Data Science job openings in Spokane, WA as of June 2026, with employment types broken down into 1% As Needed, 90% Full Time, 8% Part Time, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $40,070 per year, or $19.3 per hour.
AI Solutions Engineer I (NUVO)

AI Solutions Engineer I (NUVO)

Nuvodia

Spokane Valley, WA • On-site

$31.57 - $50.76/hr

Full-time

Posted 8 days ago

Job description

Base Pay Range:
$31.57 - $50.76
Job Description:
The Senior AI Solutions Engineer I is a Full Time, Regular position working Monday-Friday day shift hours hybrid in Spokane, WA.
Summary: This entry-level position supports the design, development and deployment of GenAI-powered tools and agents across our business operations. Working closely alongside our AI Solutions Engineer and Senior AI Solutions Engineer, this role will contribute hands-on coding, AI integration, and workflow automation efforts-helping the organization streamline internal processes and boost productivity and quality.
General Description: The Junior AI Solutions Engineer must be able to work effectively and efficiently in a fast-paced office environment in meeting continual deadlines. The Junior AI Solutions Engineer must be able to handle multiple priorities with constant interruptions. Organization is essential in order to meet deadlines. A sense of urgency, the ability to make good decisions, and the prioritization of tasks is necessary.
Essential Duties / Responsibilities: To perform this job successfully, an individual must be able to perform each essential duty. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
  • Assists in building and delivering AI agents and automation workflows tailored for medical imaging, business operations, and healthcare analytics, under the guidance of the AI Solutions Engineer and Senior AI Solutions Engineer.
  • Foundational knowledge of REST API endpoints and ability to consume them in development tasks.
  • Supports the development of generative AI models (e.g., large language models, diffusion models) and helps with integration of emerging AI APIs (Anthropic Claude, OpenAI GPT4, Google Gemini).
  • Contributes to model deployment within production environments across cloud-native and edge platforms, following established patterns and best practices.
  • Assists with integrating AI-driven solutions with EMR/EHR systems, PACS, clinical workflows, and modern data infrastructure.
  • Participates in technical consulting activities, helping to communicate AI capabilities to clinical and operational stakeholders as directed.
  • Supports the integration of AI tools into existing business systems and processes.
  • Collaborates with process owners-with guidance from senior team members-to understand task logic and data flows.
  • Follows established protocols for security, data privacy, and human-in-the-loop review.
  • Helps maintain and document AI systems to support stability and reproducibility.
  • Applies clean coding standards and DevOps best practices as guided by senior team members.
  • Other special projects and duties as assigned

General Duties/Responsibilities:
  • Ability to maintain strict confidentiality within the Inland Imaging companies and Inland's customers.
  • Honest, pleasant manner and good personal hygiene.
  • Free of alcohol and drug abuse.
  • Ability to access multiple worksites in a timely manner.
  • Excellent communication and interpersonal skills.
  • Detail oriented; ability to multi-task; organized and able to work in a fast paced environment.
  • Demonstrates self-directed learning and participation in continuing education through professional journals, approved seminars, etc.
  • Adheres to departmental standards and personnel policies by demonstrating professional demeanor in conduct and appearance.
  • Follows company departmental standards and personnel policies by using good teamwork and communication skills to help identify concerns and solutions, assisting where needed to ensure a smoothly functioning department.
  • Follows all Health and Safety policies and guidelines of Inland Imaging and its partners depending on work location
  • Performs other duties as required by displaying team spirit and self-growth, accepting and performing other projects and responsibilities, and requesting other projects and responsibilities.
  • Attendance is required for this position.
  • Rotates to other shifts and locations as needed.

Supervisory Responsibilities:
There is no supervisory responsibility in this position
Advocacy:
  • Treats all clients with dignity and respect
  • Provides excellent customer service
  • Conforms to Joint Commission and HIPAA regulations
  • Complies with PHI (Protected Health Information)

Demonstrates the Nuvodia Core Values:
Authenticate Connections, Ownership Mentality, Continuous Growth, and Enduring Results
Qualifications:
  • Education: Bachelor's Degree in Software Engineering, AI, Data Science or equivalent experience.
  • Experience: Zero to two (0-2) years of related experience in Software Engineering or AI/ML development.
  • Familiarity with generative AI models and exposure to AI APIs such as OpenAI, Anthropic, or similar platforms.
  • Basic experience with CI/CD pipeline tools (GitHub Actions, Jenkins, Azure DevOps, or GitLab CI).
  • Solid programming skills (Python required; JS, R, or similar a plus).
  • Strong communication skills; able to engage with technical and non-technical team members.
  • Willingness to travel ~10% to client sites and conferences.
  • Ability to work in a high energy, team environment.
  • Licensure: Valid driver's license and vehicle insurance, or the ability to access multiple worksites in a timely manner.
  • Computer Skills: Microsoft Office Suite, Advanced Excel, Word and PowerPoint, Workday, Smartsheet, etc.
  • Drug Test: Eligible employees must be able to pass a post-offer, pre-employment drug test.
Nuvodia/Inland is an EEO employer...

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