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No Experience Entry Level Data Science Jobs in Renton, WA

Conversica, Inc

Data Scientist

Seattle, WA · On-site

Experience and training in cutting-edge research in machine learning, natural language processing ... Science with coursework in Machine Learning, Deep Learning, and Natural Language Processing;

Amazon

Data Scientist, Prime Video

Seattle, WA

... senior science peers to identify strategic data-driven opportunities to improve the customer experience - Communicate findings, conclusions, and recommendations to technical and non-technical ...

Amazon

Data Scientist, Prime Video

Seattle, WA · On-site

... senior science peers to identify strategic data-driven opportunities to improve the customer experience - Communicate findings, conclusions, and recommendations to technical and non-technical ...

Amazon

Data Scientist II, NASC S&OP

Bellevue, WA

The experience of our customers is dependent on our ability to efficiently execute volume flow through the middle-mile network. The Data Scientist II will design and implement solutions to address ...

Amazon

Data Scientist II, NASC S&OP

Bellevue, WA

The experience of our customers is dependent on our ability to efficiently execute volume flow through the middle-mile network. The Data Scientist II will design and implement solutions to address ...

TikTok

Data Scientist - TikTok Ads

Seattle, WA · On-site

$170K - $277K/yr

... Science, Mathematics, Physics) or equivalent practical experience. - Expertise with statistical data analysis such as linear models, multivariate analysis, stochastic models, sampling methods ...

Auger

Data Scientist - Supply Chain

Bellevue, WA · On-site

Required : • Master's degree in Data Science, Statistics, Applied Mathematics, or a related ... Preferred : • Supply chain and logistics experience is ideal. • Hands-on experience with any ...

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How much do no experience entry level data science jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for no experience entry level data science in Renton, WA is $21.43, according to ZipRecruiter salary data. Most workers in this role earn between $18.12 and $24.09 per hour, depending on experience, location, and employer.

What are some common challenges faced by individuals starting in entry-level data science roles with no prior experience?

Individuals beginning in entry-level data science positions without prior experience often face challenges such as getting up to speed with real-world datasets, learning to use industry-standard tools (like Python, SQL, or Tableau), and understanding how to translate business problems into data-driven solutions. Adapting to collaborative work environments, where projects often require teamwork with analysts, engineers, and business stakeholders, can also be a learning curve. However, most organizations provide mentorship and training opportunities to help new hires develop these skills quickly and grow within the team.

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

To start a career in entry-level data science with no experience, focus on building foundational skills in programming languages like Python or R, and learn data analysis tools such as SQL and Excel. Completing online courses, earning certifications, and working on personal projects or internships can help demonstrate your abilities to employers.

What are the key skills and qualifications needed to thrive as a No Experience Entry Level Data Scientist, and why are they important?

To thrive as a No Experience Entry Level Data Scientist, you need a solid understanding of statistics, basic programming (often Python or R), and foundational knowledge in data analysis, typically supported by a relevant degree or coursework. Familiarity with tools like Excel, Jupyter Notebook, and introductory machine learning libraries such as scikit-learn or pandas is commonly expected. Curiosity, problem-solving skills, and a willingness to learn quickly help candidates stand out in this fast-evolving field. These abilities are crucial for analyzing data effectively, drawing meaningful insights, and adapting to new technologies and challenges in data science roles.

What are 'No Experience Entry Level Data Science' jobs?

No Experience Entry Level Data Science jobs are positions designed for individuals who are new to the field of data science and may not have any prior professional experience. These roles typically focus on candidates with foundational knowledge of data analysis, statistics, and basic programming skills, often gained through coursework, bootcamps, or self-study. Employers for these positions generally provide training and mentorship, allowing new hires to learn practical data science skills on the job. Such positions are a great way for beginners to gain hands-on experience and start building a career in data science.

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 coursework can improve chances of securing a data scientist role without prior work experience.

Is 30 too late for data science?

No, 30 is not too late to start a career in data science. Many professionals transition into data science at various ages by acquiring relevant skills such as programming, statistics, and tools like Python or R, often through online courses or bootcamps. Age is less important than your ability to learn and develop the necessary technical and analytical skills for entry-level data science roles.
What are popular job titles related to No Experience Entry Level Data Science jobs in Renton, WA? For No Experience Entry Level Data Science jobs in Renton, WA, the most frequently searched job titles are:
What job categories do people searching No Experience Entry Level Data Science jobs in Renton, WA look for? The top searched job categories for No Experience Entry Level Data Science jobs in Renton, WA are:
What cities near Renton, WA are hiring for No Experience Entry Level Data Science jobs? Cities near Renton, WA with the most No Experience Entry Level Data Science job openings:
No Experience Entry Level Data Science jobs near you
Infographic showing various No Experience Entry Level Data Science job openings in Renton, WA as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $44,576 per year, or $21.4 per hour.
Senior Applied Scientist, Amazon Leo Data Science Platform

Senior Applied Scientist, Amazon Leo Data Science Platform

Amazon

Redmond, WA

Full-time

Re-posted 24 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,965 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

Amazon Leo is Amazon's low Earth orbit satellite network. Our mission is to deliver fast, reliable internet connectivity to customers beyond the reach of existing networks. From individual households to schools, hospitals, businesses, and government agencies, Amazon Leo will serve people and organizations operating in locations without reliable connectivity.
The Role
As a Senior Applied Scientist in Project Leo, you'll be leading us in making critical and time sensitive decisions that impact customers

You'll use your machine learning expertise to build solutions that can scale and solve the business problem, and your engineering experience to build systems that take those solutions to production; it's an exciting opportunity to apply data science to help improve fraud detection accuracy, inference, and customer experience monitoring activity. It's fast paced, data driven, and impactful.
Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S

permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
Key job responsibilities
The position requires hands-on expertise in Analytics to identify and isolate issues, Statistical Modeling and traditional Machine Learning, the ability to write queries to aid in data extraction, and the ability to productionalize models. This role is a self sufficient scientist that can source data, build and evaluate models, and ultimately take those models and rules to deployment

You should have excellent communication skills and be able to work with stakeholders at all levels. Above all you should be a passionate, hard-working and creative person who loves creating business impact, loves solving difficult problems and doesn't mind getting involved in the details.
A day in the life
As part of the Amazon Leo Data Science Platform team, you will collaborate with a diverse group of internal stakeholders, including fraud operations, Engineering teams, and the Data Platform, to identify and address fraud vulnerabilities. You will have the opportunity to develop rules and ML models to prevent Customer Terminal (CT) usage fraud and abuse

Your role will also allow you to leverage your customer-obsession skills by thoughtfully considering the user experience and ensuring it is not adversely affected by the mechanisms you design. If you are passionate about working with large-scale data, we offer ample opportunities to do so.
About the team
The Amazon Leo Data Science Platform team builds services to ingest, transform, and aggregate data from various devices in Leo Network, and auto detect, diagnose, and resolve issues. We use ML technology to monitor customer experience and prevent fraud and abuse

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Amazon logo

About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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