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

Walmart

Director- Data Science

Bellevue, WA

$156K - $312K/yr

Position Responsibilities As Director, Data Science, you will lead and develop a team that ... Drive AI innovation in marketplace AI models, including experimentation with new models and ...

iSpot

Data Science Intern

Bellevue, WA · Hybrid

$35/hr

The Research Data Science team builds innovative solutions for iSpot's audience measures ... After developing new methodologies and building prototypes, we work with our product and ...

iSpot

Data Science Intern

Bellevue, WA · Hybrid

$35/hr

The Research Data Science team builds innovative solutions for iSpot's audience measures ... After developing new methodologies and building prototypes, we work with our product and ...

iSpot

Data Science Intern

Bellevue, WA · On-site

$35/hr

The Research Data Science team builds innovative solutions for iSpot's audience measures ... After developing new methodologies and building prototypes, we work with our product and ...

DocuSign

Product Data Science Intern

Seattle, WA · On-site +1

As a Data Scientist Intern, you'll dig into the data to uncover insights, identify opportunities for product improvements and new product development, define product metrics with goals, design ...

Docusign

Product Data Science Intern

Seattle, WA · On-site

As a Data Scientist Intern, you'll dig into the data to uncover insights, identify opportunities for product improvements and new product development, define product metrics with goals, design ...

Microsoft

Data Scientist

Redmond, WA · On-site

Drive new ways of instrumenting and measuring impact to evaluate new feature performance through ... Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research ...

TikTok

Data Science Manager - TikTok Ads

Seattle, WA · On-site

$242K - $401K/yr

Responsibilities About The TikTok Monetization Product Data Science Team We're the TikTok ... Willingness to both teach others and learn new techniques. 3. Demonstrated skills in selecting the ...

Sonsoft Inc

Data Science/Analytics

Seattle, WA · On-site

Chicago, IL / New York, NY / San Francisco, CA / Seattle, WA :- * Domain - Retail and/or CPG domain ... Data Understanding of Sales, Inventory, Store, Product and Promotion Data * Ability to translate ...

Sonsoft Inc

Data Science Analytics

Seattle, WA · On-site

Define new business metrics as required and build measurement systems as needed * Enjoy designing, develop and deploy state of the art, data-driven predictive models * Adept in quick starting ...

Sonsoft Inc

Data Science/Analytics

Seattle, WA · On-site

Define new business metrics as required and build measurement systems as needed * Enjoy designing, develop and deploy state of the art, data-driven predictive models * Adept in quick starting ...

Microsoft

Principal Data Scientist

Redmond, WA · On-site

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 ...

Microsoft

Principal Data Scientist

Redmond, WA · On-site

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 ...

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All JobsData Science New Grad JobsData Science New Grad Jobs in Seattle, WA

Data Science New Grad information

See Seattle, WA salary details

$42.7K

$139.7K

$223.6K

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

As of Jun 16, 2026, the average yearly pay for data science new grad in Seattle, WA is $139,680.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,100.00 and $154,800.00 per year, depending on experience, location, and employer.

What are Data Science New Grad roles?

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, and why are they important?

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 are popular job titles related to Data Science New Grad jobs in Seattle, WA? For Data Science New Grad jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Data Science New Grad jobs in Seattle, WA look for? The top searched job categories for Data Science New Grad jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Data Science New Grad jobs? Cities near Seattle, WA with the most Data Science New Grad job openings:
Data Science New Grad jobs near you
Infographic showing various Data Science New Grad job openings in Seattle, WA as of June 2026, with employment types broken down into 68% Full Time, and 32% Part Time. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $139,680 per year, or $67.2 per hour.
Principal, Data Science & Analytics

Principal, Data Science & Analytics

Microsoft

Redmond, WA • On-site

Full-time

Posted 10 days ago

Microsoft rating

8.6

Company rating: 8.6 out of 10

Based on 125 frontline employees who took The Breakroom Quiz

48th of 190 rated software companies

Job description

Job Summary:
Microsoft is a leading technology company that builds an integrated consumer AI ecosystem focused on delivering trustworthy and scalable experiences. They are seeking a Principal, Data Science & Analytics to own cross product measurement strategy, partner with various teams, and ensure high-quality metrics and data-driven leadership.
Responsibilities:
• Leadership: Mentor data scientists and align work with MAI ecosystem goals, driving technical excellence, innovation, and cross-team collaboration.
• Data Strategy & Execution: Develop ecosystem data strategies for marketplace and system performance, including standardized data collection, analysis, reporting, and interpretation; validate analytical approaches and results.
• Advanced Analytics & Measurement: Apply machine learning, statistical modeling, data mining, and experimentation to large datasets; define and deliver metrics that accurately measure user and business value across products and marketplace components.
• Experimental Design & Implementation: Design and execute experiments across user and demand dimensions; translate strategy into clear, actionable, and measurable plans, sharing progress and results with stakeholders.
• Collaboration: Partner closely with product, program management, engineering, and business teams to integrate data science solutions into shared platforms and marketplace operations.
• Performance Optimization: Identify cross-team opportunities for product and process improvement; implement data-driven solutions to improve efficiency, reliability, and user experience.
• Influence & Decision-Making: Engage stakeholders with clear, compelling, and actionable insights; make independent decisions for the team and handle complex tradeoffs to drive product and service improvements.
• Technical & Operational Leadership: Develop and standardize processes for data acquisition, quality, and operationalizing ML models; provide expert review of analysis and modeling; lead adoption of new tools and technologies to improve availability, reliability, efficiency, and performance.
• Standards & Trusted Advisory: Establish and uphold standards, policies, and best practices for high-quality, efficient, and extensible code; influence business, customer, and solution strategy with a strong customer focus; act as a trusted advisor across the ecosystem.
Qualifications:
Required:
• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
• OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
• OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
• OR equivalent experience.
Preferred:
• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
• OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
• OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
• OR equivalent experience.
Company:
Microsoft is a software corporation that develops, manufactures, licenses, supports, and sells a range of software products and services. Founded in 1975, the company is headquartered in Redmond, USA, with a team of 10001+ employees. The company is currently Late Stage.

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About Microsoft

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Our infrastructure is comprised of a large global portfolio of more than 100 datacenters and 1 million servers. Our foundation is built upon and managed by a team of subject matter experts working to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide. With environmental sustainability and optimization at the forefront of our datacenter design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Redmond, WA, US

Year founded

1975

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