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Entry Level Data Scientist Machine Learning Jobs in Spokane, WA

Document experimental findings and processes with a focus on clarity for AI training data ... rubrics in scientific or educational contexts. * Experience with AI, machine learning, or ...

Together, we push the boundaries of known science and find new ways to connect and protect our ... Collins Aerospace in Spokane WA is hiring for a motivated entry level Machine Shop Operator I in ...

Together, we push the boundaries of known science and find new ways to connect and protect our ... Collins Aerospace in Spokane WA is hiring for a motivated entry level Machine Shop Operator I in ...

Together, we push the boundaries of known science and find new ways to connect and protect our ... Collins Aerospace in Spokane WA is hiring for a motivated entry level Machine Shop Operator I in ...

Together, we push the boundaries of known science and find new ways to connect and protect our ... Collins Aerospace in Spokane WA is hiring for a motivated entry level Machine Shop Operator I in ...

Together, we push the boundaries of known science and find new ways to connect and protect our ... Collins Aerospace in Spokane WA is hiring for a motivated entry level Machine Shop Operator I in ...

Together, we push the boundaries of known science and find new ways to connect and protect our ... Collins Aerospace in Spokane WA is hiring for a motivated entry level Machine Shop Operator I in ...

Together, we push the boundaries of known science and find new ways to connect and protect our ... Collins Aerospace in Spokane WA is hiring for a motivated entry level Machine Shop Operator I in ...

Together, we push the boundaries of known science and find new ways to connect and protect our ... Collins Aerospace in Spokane WA is hiring for a motivated entry level Machine Shop Operator I in ...

Machine Shop Operator 1

Spokane, WA · On-site

$17.25 - $20.50/hr

Collins Aerospace in Spokane WA is hiring for a motivated entry level Machine Shop Operator I in ... data integrity within digital systems. Rotating Shift Structure: * 4-on/4-off rotation equates to 6 ...

Showing results 21-40

Entry Level Data Scientist Machine Learning information

See Spokane, WA salary details

$37.9K

$124.1K

$198.7K

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

As of Sep 6, 2026, the average yearly pay for entry level data scientist machine learning in Spokane, WA is $124,103.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,600.00 and $137,500.00 per year, depending on experience, location, and employer.

What is an entry level data scientist machine learning?

Entry level data scientist machine learning jobs are positions for individuals who are new to the field of data science and machine learning. These roles typically focus on working with data, building and testing machine learning models, and supporting more experienced data scientists. Entry level professionals may clean and analyze data, implement basic algorithms, and help interpret results to inform business decisions. These jobs often require proficiency in programming languages like Python or R, foundational knowledge of statistics, and some experience with machine learning libraries.

What are the key skills and qualifications needed to thrive as an entry level data scientist machine learning?

To thrive as an Entry Level Data Scientist in Machine Learning, you need a solid background in statistics, programming (Python or R), and foundational machine learning concepts, typically supported by a relevant degree in computer science, data science, or a related field. Familiarity with tools and libraries such as scikit-learn, TensorFlow, Pandas, and SQL, as well as experience with data visualization platforms, is highly valuable. Strong problem-solving skills, attention to detail, and the ability to communicate technical findings clearly set candidates apart. These skills are essential for effectively analyzing data, building predictive models, and translating complex results into actionable business insights.

What are some common challenges faced by entry level data scientists working with machine learning models?

Entry-level data scientists often encounter challenges such as cleaning and preparing messy or incomplete datasets, selecting appropriate algorithms for specific problems, and tuning model parameters to achieve optimal performance. In addition, they may need to clearly communicate technical findings to non-technical stakeholders and collaborate closely with team members from engineering, product, and business departments. Gaining experience in version control, reproducibility, and model deployment are also important steps in mastering the end-to-end machine learning workflow.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Spokane, WA?

The most popular types of Data Scientist Machine Learning jobs in Spokane, WA are:

What are popular job titles related to Entry Level Data Scientist Machine Learning jobs in Spokane, WA?

For Entry Level Data Scientist Machine Learning jobs in Spokane, WA, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Scientist Machine Learning jobs in Spokane, WA look for?

The top searched job categories for Entry Level Data Scientist Machine Learning jobs in Spokane, WA are:

Infographic showing various Entry Level Data Scientist Machine Learning job openings in Spokane, WA as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 15% Part Time, and 10% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $124,103 per year, or $59.7 per hour.

Strategic Student Program: AI & Engineering Data Internship (Spring 2027, GSCS)

Siemens

Spokane, WA • Remote

$18 - $50/hr

Full-time, Internship

Retirement

Posted 3 days ago

New


Siemens rating

7.7

Company rating: 7.7 out of 10

Based on 100 frontline employees who took The Breakroom Quiz

268th of 453 rated engineering


Job description

Siemens Digital Industries Software

Strategic Student Program (SSP)

Discover your career with us at Siemens Digital Industries Software!

We are a leading global software company dedicated to the world of computer aided design, 3D modeling and simulation- helping innovative global manufacturers design better products, faster! With the resources of a large company, and the energy of a software start-up, we have fun together while creating a world class software portfolio. Our culture encourages creativity, welcomes fresh thinking and focuses on growth, so our people, our business, and our customers can achieve their full potential.

We're currently recruiting co-ops and interns for our Spring 2027 Strategic Student Program. Our opportunities will allow you to find a career path that most inspires you. Here, you will apply your education to solve real-world problems and turn theory into practice. At Siemens, our goal is to empower our students to become the next leaders of our company.

Baseline Program Requirements:

  • Currently enrolled as an undergraduate student at an accredited university
  • Legally authorized to work in the United States without the need for current or future sponsorship by the company
  • A minimum 3.0 GPA

Perks:

  • Employee discounts at our top customer sites
  • Networking with our global leaders
  • Mentorship from senior employees
  • Individual career development planning
  • Professional and technical workshops
  • Paid volunteer time off
  • Energetic student community
  • Leadership opportunities
  • Potential for full-time offers after university graduation and completion of the program

Position Overview:

Siemens Digital Industries Software is seeking an AI & Engineering Data Intern to support emerging Artificial Intelligence and Digital Thread initiatives within the Capital PreSales organization. This role provides hands-on experience applying AI technologies to engineering challenges across aerospace, defense, and automotive industries.

The intern will help create and manage engineering datasets, investigate AI-assisted workflows, and support projects that demonstrate how Digital Threads enable intelligent decision-making throughout the product lifecycle. The role combines engineering, software, data management, and AI technologies to develop innovative customer-facing demonstrations and internal capabilities.

Key Responsibilities:

  • Develop and curate engineering datasets for AI, analytics, and demonstration use cases.
  • Support AI and generative AI proof-of-concepts involving engineering and Digital Thread data.
  • Assist in connecting systems, software, and electrical engineering information into reusable data models.
  • Evaluate and document AI-assisted engineering workflows and use cases.
  • Build dashboards, reports, and visualizations that communicate engineering insights.
  • Support technical enablement activities and customer demonstration development.

Requirements:

  • Pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial
  • Comfortable working in a fully remote environment within the United States of America.
  • Intelligence, Software Engineering, Systems Engineering, or a related discipline.
  • Experience with Python, data analytics, machine learning, or AI technologies.
  • Familiarity with digital engineering, PLM, or engineering data management concepts is a plus.
  • Strong communication, collaboration, and problem-solving skills.
  • Passion for applying emerging technologies to real-world engineering challenges.

#LI-PLM

#LI-Remote

#SWSaaS

You'll Benefit From

The hourly pay range for this position $18 - $50 per hour, based off of your projected graduation year. The actual wage offered may be lower or higher depending on budget and candidate experience, knowledge, skills, qualifications, and premium geographic location. Additionally, interns for Siemens are eligible to contribute into our 401K program.

Equal Employment Opportunity Statement

Siemens is an Equal Opportunity Employer encouraging inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.

EEO is the Law

Applicants and employees are protected from discrimination on the basis of race, color, religion, sex, national origin, or any characteristic protected by Federal or other applicable law.

Reasonable Accommodations

If you require a reasonable accommodation in completing a job application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please fill out the accommodations form by clicking on this link Accommodation for disability form. If you're unable to complete the form, you can reach out to our AskHR team for support at 1-866-743-6367. Please note our AskHR representatives do not have visibility of application or interview status.

Pay Transparency

Siemens follows Pay Transparency laws.

Application Deadline

This role will be posted for a minimum of five (5) days from the original posting date. The posting timeline may change based on applicant volume to ensure we attract and consider a strong and representative candidate pool.

California Privacy Notice

California residents have the right to receive additional notices about their personal information. To learn more, click here.

Criminal History

Qualified applications with arrest or conviction records will be considered for employment in accordance with applicable local and state laws.


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