ZipRecruiter

Log In

1

Summer Math Major Computer Science Minor Jobs in Seattle, WA

Docugami

Machine Learning / Data Scientist

Kirkland, WA · On-site

We are looking for experienced researchers to work with our luminary science advisors on major ... PhD (or equivalent experience) in areas like computer science, mathematics, statistics, electrical ...

Microsoft

Senior Applied Scientist

Redmond, WA · On-site

Required : • Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or ... major ML framework (e.g., PyTorch or TensorFlow). • Ability to independently drive modeling ...

Microsoft

Senior Applied Scientist

Redmond, WA · On-site

$160K - $261K/yr

Mathematical and Statistical modeling, Machine and Reinforcement Learning, Optimization Methods ... OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer ...

previous page

Showing results 41-60

All JobsSummer Math Major Computer Science Minor JobsSummer Math Major Computer Science Minor Jobs in Seattle, WA

Summer Math Major Computer Science Minor information

See Seattle, WA salary details

$9

$31

$44

How much do summer math major computer science minor jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for summer math major computer science minor in Seattle, WA is $31.62, according to ZipRecruiter salary data. Most workers in this role earn between $21.35 and $33.37 per hour, depending on experience, location, and employer.

What is the difference between Summer Math Major Computer Science Minor vs Data Analyst?

AspectSummer Math Major Computer Science MinorData Analyst
Required CredentialsMath and CS coursework, minor in CS, possibly internshipsDegree in Math, Statistics, or related field; often with data analysis skills
Work EnvironmentAcademic settings, research projects, internshipsBusiness, finance, tech companies, data-driven environments
Industry UsageEducational institutions, research labs, tech companiesCorporate, healthcare, marketing, finance sectors
Common Search/ComparisonYesNo

The Summer Math Major Computer Science Minor typically prepares students for academic or research roles with a focus on mathematical and programming skills. In contrast, a Data Analyst applies these skills in business settings to interpret data and support decision-making. While both roles require strong analytical skills, their work environments and industry applications differ significantly.

What can you do with a summer math major and computer science minor?

A summer math major with a computer science minor can pursue roles such as data analyst, software developer, or research assistant, leveraging skills in programming, algorithms, and quantitative analysis. These qualifications prepare individuals for internships or entry-level positions in tech companies, finance, or research environments that value analytical and coding skills.

What jobs can I get with a summer math major computer science minor?

A summer math major with a computer science minor can qualify for roles such as data analyst, software developer, or research assistant. These positions often require strong analytical skills, programming knowledge in languages like Python or Java, and familiarity with data tools or algorithms.

What are the most commonly searched types of Math Major Computer Science Minor jobs in Seattle, WA?

The most popular types of Math Major Computer Science Minor jobs in Seattle, WA are:

What are popular job titles related to Summer Math Major Computer Science Minor jobs in Seattle, WA?

For Summer Math Major Computer Science Minor jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Summer Math Major Computer Science Minor jobs in Seattle, WA look for?

The top searched job categories for Summer Math Major Computer Science Minor jobs in Seattle, WA are:

Summer Math Major Computer Science Minor jobs near you
Infographic showing various Summer Math Major Computer Science Minor job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 3% Contract, and 1% Nights. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $65,775 per year, or $31.6 per hour.

Senior Data Analyst, Media Data Science & Analytics (eCommerce)

Microsoft Corporation

Redmond, WA • On-site

$96K - $121K/yr

Other

Posted 5 days ago

Microsoft rating

8.5

Company rating: 8.5 out of 10

Based on 132 frontline employees who took The Breakroom Quiz

79th of 245 rated software companies

Job description

Overview
We're building a Frontier Marketing organization where the Media Data Science & Analytics team leads the way in transforming how Microsoft measures, analyzes, and optimizes media and digital experiences. Our team blends advanced analytics, experimentation, and AI-powered insights to drive smarter decision-making and measurable business outcomes across paid media and owned digital properties.
We operate with agility, prioritize outcomes over activity, and embrace rapid learning loops to unlock deeper audience understanding, maximize impact, and accelerate innovation in media and discovery strategy. To support this transformation, we are seeking a Senior Data Analyst, Media Data Science & Analytics (eCommerce) to serve as the analytical engine behind Microsoft's eCommerce business.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. Our culture embraces a growth mindset, collaboration, and inclusion, where everyone can thrive.
Responsibilities
  • Dashboards & Self-Serve Analytics - Build and maintain dashboards, reports, and self-serve analytics that give eCommerce, web, and marketing partners timely, accurate visibility into commerce performance across Microsoft's owned digital storefronts - so they can focus on acting on insights rather than wrangling data.

  • Funnel Measurement - Analyze the web and eCommerce journey - from acquisition and on-site engagement through sign-up, checkout, conversion, and revenue - connecting customer behavior to the durable business outcomes our partners own, such as gross adds, conversion, and revenue.

  • Deep-Dive Analysis - Investigate revenue, product and offer performance, customer behavior, and operational efficiency to surface actionable insights for partners, proactively bringing trends, anomalies, and opportunities forward without waiting to be asked.

  • Trustworthy Data Foundation - Integrate data from multiple sources and partner closely with Data Engineering, Finance, Web data teams, and other partners to define metrics, validate data quality, and ensure analytical outputs are built on a reliable, well-modeled, analytics-ready single source of truth.

  • Metric & Reporting Standards - Help establish consistent Key Performance Indicator (KPI) and metric definitions, reporting standards, and documentation practices that scale as the analytics function and its self-serve tools grow - so partner teams work from the same metrics language.

  • Performance Driver Analysis - Identify and quantify drivers of performance change - including product and offer launches, merchandising and promotional changes, technical factors, seasonal patterns, and external events - so partners know what's real and what to act on.

  • Experimentation - Support experimentation - such as A/B tests and web experience changes - to evaluate the impact of eCommerce improvements and give partners confidence in what to scale.

  • Work Smarter with AI - Leverage AI-assisted and agentic tools such as Microsoft Copilot to accelerate analysis, automate recurring reporting workflows, and move from manual, reactive reporting toward proactive, scalable insight that reaches partners faster.

  • Translate, Communicate & Partner - Turn ambiguous business questions into structured analytical frameworks, deliver clear findings to both technical and non-technical audiences through recurring readouts and deep-dive investigations, and collaborate cross-functionally with eCommerce, web experience, engineering, and marketing partners to prioritize improvements grounded in data.
  • Other - Embody our Culture and Values

Qualifications
Required/ minimum qualifications
  • Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 2+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis
    • OR Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 4+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis
    • OR equivalent experience.

Additional or preferred qualifications
  • Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 6+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis
    • OR Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 8+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis
    • OR equivalent experience.
  • Experience querying and analyzing large datasets using SQL. Experience integrating data from multiple sources and validating data quality.
  • Experience communicating analytical insights to stakeholders to inform decisions.
  • Experience measuring web or eCommerce performance - such as acquisition, engagement, conversion, or revenue.
  • Experience building dashboards or reusable reporting assets (e.g., Power BI).
  • Experience enabling stakeholders through self-serve analytics and reporting. Experience using Python or similar tools for analysis or automation.
  • Experience using Adobe Analytics or similar tools for measuring digital customer journeys.
  • Familiarity with experimentation or attribution concepts.
  • Experience using AI-assisted analytics tools (e.g., Microsoft Copilot) to accelerate analysis and automate reporting.
  • Experience establishing KPI or metric definitions, reporting standards, or documentation for a growing analytics function.

Data Analytics IC4 - The typical base pay range for this role across the U.S. is USD $106,400 - $203,600 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $137,600 - $222,600 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
;br>
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

What Microsoft employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Microsoft logo

About Microsoft

Sourced by ZipRecruiter

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

Social media

FacebookTwitter

View All Microsoft Jobs

Apply