1

Data Science New Grad Jobs in Issaquah, WA (NOW HIRING)

Do you want to join a team where learning about a new technology or solution is part of our work ... Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research ...

Senior Data Scientist

Redmond, WA · On-site

$119K - $234K/yr

You will be responsible for developing new methods to evaluate LLMs, train classifiers ... Doctorate in Data Science , Mathematics, Statistics, Econometrics, Economics, Operations Research ...

... in creating new documents more efficiently and consistently, and can automatically connect ... We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work ...

... in creating new documents more efficiently and consistently, and can automatically connect ... We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work ...

Work closely with Directors, Sr. Managers of Data Science, and leaders ofArchitecture,Engineering ... Here, you can kickstart a great career in tech, gain new skills and experience for virtually every ...

Work closely with Directors, Sr. Managers of Data Science, and leaders ofArchitecture,Engineering ... Here, you can kickstart a great career in tech, gain new skills and experience for virtually every ...

Work closely with Directors, Sr. Managers of Data Science, and leaders of Architecture, Engineering ... Here, you can kickstart a great career in tech, gain new skills and experience for virtually every ...

Work closely with Directors, Sr. Managers of Data Science, and leaders of Architecture, Engineering ... Here, you can kickstart a great career in tech, gain new skills and experience for virtually every ...

Showing results 21-40

Data Science New Grad information

See Issaquah, WA salary details

$43.3K

$141.6K

$226.6K

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

As of Aug 12, 2026, the average yearly pay for data science new grad in Issaquah, WA is $141,559.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,600.00 and $156,900.00 per year, depending on experience, location, and employer.

What is a data science new grad?

Data Science New Grad roles are entry-level positions designed for recent graduates who have completed a degree in data science, computer science, statistics, or a related field. These roles typically involve working with data to analyze trends, build predictive models, and support business decision-making. New grads are expected to have foundational knowledge in programming, statistics, and machine learning, but are not required to have extensive work experience. These roles often offer mentorship and training to help new professionals grow their technical and analytical skills. Companies hire Data Science New Grads to bring fresh perspectives and to develop future data science talent.

What types of projects can a data science new grad expect to work on during their first year?

As a Data Science New Grad, you can expect to work on a variety of projects such as cleaning and preprocessing data, developing predictive models, and assisting with data visualization and reporting. You may also collaborate closely with product managers, engineers, and senior data scientists to translate business problems into analytical solutions. Early projects often focus on building foundational skills and understanding the company’s data infrastructure, while gradually increasing in complexity as you gain experience. This hands-on exposure is designed to help you grow technically and understand how data science supports organizational goals.

What are the key skills and qualifications needed to thrive as a data science new grad?

To thrive as a Data Science New Grad, you need a strong foundation in statistics, programming (typically Python or R), and data analysis, often supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks (such as TensorFlow or scikit-learn), data visualization tools, and SQL databases is highly valued. Strong problem-solving abilities, communication skills, and curiosity help new grads stand out when interpreting data and presenting insights. These competencies are crucial for transforming complex data into actionable business solutions and collaborating effectively within multidisciplinary teams.
What job categories do people searching Data Science New Grad jobs in Issaquah, WA look for? The top searched job categories for Data Science New Grad jobs in Issaquah, WA are:
What cities near Issaquah, WA are hiring for Data Science New Grad jobs? Cities near Issaquah, WA with the most Data Science New Grad job openings:
Infographic showing various Data Science New Grad job openings in Issaquah, WA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $141,559 per year, or $68.1 per hour.

Data Science Manager, Finance and Strategy

Stripe

Seattle, WA • On-site, Remote

Full-time

Re-posted 21 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.
About the team
Finance and Strategy Data Science builds the forecasting models, data infrastructure, and analytics tools at the core of how Stripe measures and plans its business. The team owns everything from hierarchical time series and agentic forecasting tools that predict payment volumes and revenue margins, to the governed metrics platform that feeds company-wide dashboards and executive reporting. We partner closely with Finance and Strategy, GTM, and Product stakeholders to directly inform financial decisions across Stripe's entire business. The team combines technical depth, strategic thinking, and executive partnership that develops both technical and business expertise.
What you'll do
Data Science Managers at Stripe are responsible for the success of their team. You'll be deeply involved in the modeling and design processes as well as coaching, mentoring, and leading the team. You'll have a deep understanding of how to drive efficient data science teams and you'll have a strong user-focus. You'll be working with data scientists, analysts, and engineers on creating technical solutions and communicating effectively across teams and senior leadership.
Responsibilities
  • Drive the roadmap and priorities for your team, and work with many Stripe leaders across the company to enhance our ability to be data-driven.
  • Collaborate with stakeholders across the organization such as engineering, analytics, operations, finance, and marketing.
  • Lead and manage processes to help the team do its best work and engage effectively with the rest of Stripe.
  • Manage a high-performing team of data scientists, supporting them to achieve a high level of technical excellence and advance in their careers.
  • Recruit and onboard great data scientists, in collaboration with Stripe's recruiting team.
  • Contribute to broad data science initiatives as a member of Stripe's data science management team.
Who you are
We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
  • You have at least 3 years of direct management experience leading data science or ML teams, and 10 years of overall data science experience.
  • You've demonstrated expertise in designing metrics and guiding business decisions with data.
  • You have technical expertise to drive clarity with staff and senior scientists about architecture and strategic modeling decisions.
  • You've managed teams that have built and shipped machine learning systems and data products at scale, and have hands-on experience with challenging problems.
  • You work very well cross-functionally, and are able to think rigorously and make hard decisions and tradeoffs.
  • You have clear and persuasive communication skills in writing and in speech.
  • You thrive on a high level of autonomy and responsibility.
  • You foster a healthy, inclusive, challenging, and supportive work environment.
Preferred qualifications
  • A PhD or MS in a quantitative field (e.g., Statistics, Operations Research, Economics, Computer Science, Engineering)
  • You're comfortable working with geographically distributed teams.
  • Expertise in time series forecasting, predictive modeling, or optimization
  • Expertise in data design and building scalable data architectures