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New Grad Data Scientist Jobs in Renton, WA (NOW HIRING)

Data Scientist

Seattle, WA · On-site +1

$192K - $288K/yr

... new business opportunities. Our mission is to increase the GDP of the internet, and we have a ... Design, implement and launch data science solutions using Python and R to empower data-driven ...

Data Scientist

Seattle, WA · On-site

$192K - $288K/yr

... new business opportunities. Our mission is to increase the GDP of the internet, and we have a ... Design, implement and launch data science solutions using Python and R to empower data-driven ...

Do you want to join a team where learning about a new technology or solution is part of our work ... Data scientists have data management and expertise in developing statistical techniques to analyze ...

Do you want to join a team where learning about a new technology or solution is part of our work ... Data scientists have data management and expertise in developing statistical techniques to analyze ...

Principal Data Scientist

Redmond, WA · On-site

$188K - $304.20K/yr

Overview We are inviting you to join the Microsoft Advertising Data Science Team. Microsoft ... New York City metropolitan area, and the base pay range for this role in those locations is USD ...

Do you want to join a team where learning about a new technology or solution is part of our work ... We are hiring a Senior Data Scientist to help drive high-impact engineering projects with our ...

This role involves applying data science skills to drive data-driven decisions and develop models ... Develop new predictive and prescriptive models using advanced statistical and machine learning ...

Data Scientist III

Bellevue, WA · On-site

$159.18K - $229K/yr

Use machine learning frameworks in both development, testing, and production environments to create and deploy new technologies. * Identify opportunities for data science to improve current products ...

Develop new predictive and prescriptive models using advanced statistical and machine learning ... Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research ...

Data Scientist II

Bellevue, WA · On-site

$128.52K - $193.50K/yr

Use machine learning or statistical frameworks in both development, testing, and production environments to create and deploy new technologies. * Identify opportunities for data science to improve ...

Data Scientist

Seattle, WA · Hybrid

$60 - $65/hr

Overview We are seeking a Data Scientist to join a high-impact team focused on using data to inform ... We help clients activate ideas and solutions to take advantage of a new world of opportunity. We ...

Data Scientist III

Bellevue, WA · On-site

$141K - $225K/yr

Data Scientist III, Experimentation Science Chewy is looking for a Data Scientist I I I to join the ... Join a collaborative, fast-paced team where you'll tackle new challenges daily, contribute to ...

Data Scientist III

Bellevue, WA · On-site +1

$141K - $225K/yr

Data Scientist III, Experimentation Science Chewy is looking for a Data Scientist I I I to join the ... Join a collaborative, fast-paced team where you'll tackle new challenges daily, contribute to ...

... new conventions for relevant annotation workflows. The Language Data Scientist will be asked to ... handle unique data analysis and research requests that support the training and evaluation of ...

... new conventions for relevant annotation workflows. The Language Data Scientist will be asked to ... handle unique data analysis and research requests that support the training and evaluation of ...

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New Grad Data Scientist information

See Renton, WA salary details

$42.4K

$138.6K

$221.9K

How much do new grad data scientist jobs pay per year?

As of May 30, 2026, the average yearly pay for new grad data scientist in Renton, WA is $138,622.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,200.00 and $153,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a New Grad Data Scientist, and why are they important?

To thrive as a New Grad Data Scientist, you need a solid background in statistics, mathematics, and programming—typically with a degree in a relevant field such as computer science or data science. Familiarity with tools and languages like Python, R, SQL, and experience with machine learning frameworks or data visualization platforms is highly valued. Strong problem-solving abilities, curiosity, and effective communication skills help you interpret data and convey insights to stakeholders. These competencies are crucial for transforming data into actionable business solutions and contributing to data-driven decision-making.

What are some common challenges new grad data scientists face when transitioning from academia to industry?

New grad data scientists often find that real-world data is messier and less structured than academic datasets, requiring strong data cleaning and wrangling skills. Additionally, they may need to adapt to working within cross-functional teams, collaborating closely with engineers, product managers, and business stakeholders to align their analyses with organizational goals. Prioritizing impactful projects under tight deadlines and communicating complex findings in a clear, actionable manner are also key challenges. Building these practical skills early can significantly accelerate both learning and career advancement.

What are New Grad Data Scientists?

New Grad Data Scientists are recent graduates who have completed a degree in a related field such as computer science, statistics, mathematics, or engineering, and have started their careers in data science. They apply statistical analysis, machine learning, and data visualization techniques to help organizations make data-driven decisions. Typically, new grads in these roles work closely with experienced data scientists, learning best practices and gaining practical experience while contributing to real-world projects. Employers generally expect them to have experience with programming languages like Python or R, and familiarity with data analysis tools and concepts.

What is the difference between New Grad Data Scientist vs Data Analyst?

AspectNew Grad Data ScientistData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing departments
Employer & Industry UsageUsed across industries for predictive modeling and researchUsed for reporting, data visualization, and descriptive analysis

New Grad Data Scientists typically focus on building models and advanced analytics, requiring knowledge of programming and machine learning. Data Analysts mainly handle data reporting and visualization, often using tools like Excel and SQL. Both roles are entry-level but differ in technical depth and project scope, with Data Scientists often engaging in more complex data modeling tasks.

What are popular job titles related to New Grad Data Scientist jobs in Renton, WA? For New Grad Data Scientist jobs in Renton, WA, the most frequently searched job titles are:
What job categories do people searching New Grad Data Scientist jobs in Renton, WA look for? The top searched job categories for New Grad Data Scientist jobs in Renton, WA are:
What cities near Renton, WA are hiring for New Grad Data Scientist jobs? Cities near Renton, WA with the most New Grad Data Scientist job openings:
Infographic showing various New Grad Data Scientist job openings in Renton, WA as of May 2026, with employment types broken down into 8% Full Time, and 92% Part Time. Highlights an 100% Physical job distribution, with an average salary of $138,622 per year, or $66.6 per hour.
Data Scientist

Data Scientist

Stripe

Seattle, WA • On-site, Remote

$192K - $288K/yr

Other

Medical, Dental, Vision, Retirement

Posted 15 days ago


Job description

Who we are About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world's largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

What you'll doResponsibilities
  • Apply statistical, time series forecasting and machine learning models on large datasets to predict future performance of users or products.
  • Partner closely with Sales and Data Science teams to identify important questions and answer them with data. 
  • Design, implement and launch data science solutions using Python and R to empower data-driven decisions and products at scale. 
  • Create analyses that generate insights for business teams.
  • Design, analyze, and interpret the results of experiments. 
  • Build ETL data transformation pipelines in SQL.
Who you areMinimum requirements

Must have a Master's degree or foreign equivalent in Computer Science, Business Analytics, Statistics, or a related quantitative field, plus 3 years of experience in a Data Scientist or related occupation. 

  • 3 years of experience building ETL data transformation pipelines in SQL;
  • 3 years of experience working closely with product and business teams to identify important questions and answer them with data;
  • 2 years of experience productionalizing and implementing machine learning models;
  • 2 years of experience productionalizing and implementing software products;
  • 2 years of experience designing, analyzing, and interpreting the results of experiments;
  • 2 years of experience designing, and analyzing software architectures;
  • 2 years of experience designing, implementing, and launching data science solutions;
  • 2 years of experience designing, implementing, and launching software solutions; and
  • 2 years of experience applying statistical and machine learning models on large datasets to predict future performance of users or products.

Salary : $192,000 - $288,000/yr.

This salary range represents the base salary range for the role and any sales commissions/sales bonuses targets, if applicable, would be in addition to the base salary.

40 hrs/week

50% Telecommuting Permitted.

Multiple Positions Available.

Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends. WA04 #LI-DNI