Principal Data Scientist
Redmond, WA · On-site
We are seeking an experienced Principal Business Analytics Data Scientist with solid business acumen, deep analytical expertise, and experience in content platforms, digital advertising, and ...
Principal Data Scientist
Redmond, WA · On-site
We are seeking an experienced Principal Business Analytics Data Scientist with solid business acumen, deep analytical expertise, and experience in content platforms, digital advertising, and ...
Drive Pricing and Revenue management data science * Identify pricing and promotion potential through advanced analytics. * Implement optimization strategies leveraging machine learning, simulation ...
Drive Pricing and Revenue management data science * Identify pricing and promotion potential through advanced analytics. * Implement optimization strategies leveraging machine learning, simulation ...
Build and improve models and pipelines by developing basic data science models (or enhancing ... Experience working in shared analytics/engineering environments (version control, documentation ...
Build and improve models and pipelines by developing basic data science models (or enhancing ... Experience working in shared analytics/engineering environments (version control, documentation ...
We're looking for a seasoned analytics leader to drive data-informed decisions for Meta. You will ... Data Science Director Responsibilities: * Inspire, lead and grow a distributed team of data ...
We're looking for a seasoned analytics leader to drive data-informed decisions for Meta. You will ... Data Science Director Responsibilities: * Inspire, lead and grow a distributed team of data ...
TikTok Shop - Data Scientist - Measurement(Governance & Experience)
Seattle, WA · On-site
$170K - $263K/yr
Our GNE Data Science & Analytics team drives a worry-free shopping journey on TikTok by: - Defining and tracking core GNE metrics - Providing insights to guide policy, product, and operations ...
TikTok Shop - Data Scientist - Measurement(Governance & Experience)
Seattle, WA · On-site
$170K - $263K/yr
Our GNE Data Science & Analytics team drives a worry-free shopping journey on TikTok by: - Defining and tracking core GNE metrics - Providing insights to guide policy, product, and operations ...
Senior Associate Decision Scientist
Bellevue, WA · On-site
$66K - $66K/yr
Position requires a Master's degree, or foreign equivalent, in Business Analytics, Applied Data Science, or a closely related field of study, plus 2 years of experience in the job offered, or as a ...
Senior Associate Decision Scientist
Bellevue, WA · On-site
$66K - $66K/yr
Position requires a Master's degree, or foreign equivalent, in Business Analytics, Applied Data Science, or a closely related field of study, plus 2 years of experience in the job offered, or as a ...
Senior Associate Decision Scientist
Bellevue, WA · On-site +1
$66K - $66K/yr
Position requires a Master's degree, or foreign equivalent, in Business Analytics, Applied Data Science, or a closely related field of study, plus 2 years of experience in the job offered, or as a ...
Senior Associate Decision Scientist
Bellevue, WA · On-site +1
$66K - $66K/yr
Position requires a Master's degree, or foreign equivalent, in Business Analytics, Applied Data Science, or a closely related field of study, plus 2 years of experience in the job offered, or as a ...
As a Data Scientist on this team, you will design and analyze experiments, build evaluations for AI systems, and run deep-dive analyses on our models, experiments, and customer data. You will work ...
As a Data Scientist on this team, you will design and analyze experiments, build evaluations for AI systems, and run deep-dive analyses on our models, experiments, and customer data. You will work ...
Do you want to define the multi-year science vision that transforms how millions of customers ... data science (e.g statistical modeling, causal inference, econometrics, product growth analytics ...
Do you want to define the multi-year science vision that transforms how millions of customers ... data science (e.g statistical modeling, causal inference, econometrics, product growth analytics ...
Exponent Inc. in Bellevue, WA, is seeking a Statistical Scientist to join their Data Sciences ... This role involves data collection and statistical analysis for various projects, providing ...
Exponent Inc. in Bellevue, WA, is seeking a Statistical Scientist to join their Data Sciences ... This role involves data collection and statistical analysis for various projects, providing ...
Do you want to define the multi-year science vision that transforms how millions of customers ... data science (e.g statistical modeling, causal inference, econometrics, product growth analytics ...
Do you want to define the multi-year science vision that transforms how millions of customers ... data science (e.g statistical modeling, causal inference, econometrics, product growth analytics ...
Do you want to push the boundaries of data science (e.g. statistical modeling, causal inference, econometrics, product growth analytics, and forecasting models) and democratize how AWS senior leaders ...
Do you want to push the boundaries of data science (e.g. statistical modeling, causal inference, econometrics, product growth analytics, and forecasting models) and democratize how AWS senior leaders ...
Exponent Inc. in Bellevue, WA, is seeking a Statistical Scientist to join their Data Sciences ... This role involves data collection and statistical analysis for various projects, providing ...
Exponent Inc. in Bellevue, WA, is seeking a Statistical Scientist to join their Data Sciences ... This role involves data collection and statistical analysis for various projects, providing ...
Master's Degree in Engineering, Supply Chain, Data Analytics, Business, Finance or related field AND 3+ years experience in data science/analytics, finance, project management, supply chain, and/or ...
Master's Degree in Engineering, Supply Chain, Data Analytics, Business, Finance or related field AND 3+ years experience in data science/analytics, finance, project management, supply chain, and/or ...
... analytics, data science or technology teams, with a product or insight focus - Bachelor's degree or above in a quantitative field such as statistics, mathematics, data science, business analytics ...
... analytics, data science or technology teams, with a product or insight focus - Bachelor's degree or above in a quantitative field such as statistics, mathematics, data science, business analytics ...
Data Scientist
Seattle, WA · On-site +1
Establishes best practices for data analysis and reporting. * Other duties as assigned. Skills and Competencies * A specialization in machine-learning, artificial intelligence, cognitive science or ...
Data Scientist
Seattle, WA · On-site +1
Establishes best practices for data analysis and reporting. * Other duties as assigned. Skills and Competencies * A specialization in machine-learning, artificial intelligence, cognitive science or ...
Principal Data Scientist - CoreAI
Redmond, WA · On-site
$188K - $304K/yr
Preferred/Additional Qualifications: * 5+ years of experience leading data science and analytics projects that delivered measurable product and growth wins. * 5+ years of experience analyzing ...
Principal Data Scientist - CoreAI
Redmond, WA · On-site
$188K - $304K/yr
Preferred/Additional Qualifications: * 5+ years of experience leading data science and analytics projects that delivered measurable product and growth wins. * 5+ years of experience analyzing ...
... Science ... This role will lead data analysis related to audiences and customers for two of Adobe's most ...
... Science ... This role will lead data analysis related to audiences and customers for two of Adobe's most ...
The Data Science and Analytics team owns data science, data engineering, and business intelligence. You will be supporting multiple business and technical stakeholders with high velocity analytics.
The Data Science and Analytics team owns data science, data engineering, and business intelligence. You will be supporting multiple business and technical stakeholders with high velocity analytics.
The Data Science and Analytics team owns data science, data engineering, and business intelligence. You will be supporting multiple business and technical stakeholders with high velocity analytics.
The Data Science and Analytics team owns data science, data engineering, and business intelligence. You will be supporting multiple business and technical stakeholders with high velocity analytics.
Internship Data Science Analytics information
See Seattle, WA salary details
$13.68 - $16.79
7% of jobs
$19.85 is the 25th percentile. Wages below this are outliers.
$16.79 - $19.90
18% of jobs
$19.90 - $23
22% of jobs
The median wage is $23.49 / hr.
$23 - $26.11
17% of jobs
$27.99 is the 75th percentile. Wages above this are outliers.
$26.11 - $29.22
18% of jobs
$29.22 - $32.33
8% of jobs
$32.33 - $35.44
5% of jobs
$35.44 - $38.55
1% of jobs
$38.55 - $41.66
0% of jobs
$41.66 - $44.76
2% of jobs
$44.76 - $47.87
1% of jobs
$13
$25
$47
How much do internship data science analytics jobs pay per hour?
As of Sep 2, 2026, the average hourly pay for internship data science analytics in Seattle, WA is $25.61, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $27.88 per hour, depending on experience, location, and employer.
What is the difference between Internship Data Science Analytics vs Data Analyst Intern?
| Aspect | Internship Data Science Analytics | Data Analyst Intern |
|---|---|---|
| Required Credentials | Basic knowledge of statistics, programming (Python/R), and data tools | Similar skills, often with coursework in statistics or data analysis |
| Work Environment | Hands-on projects, collaborative teams, tech-focused companies | Data collection, cleaning, visualization tasks in various industries |
| Employer & Industry Usage | Tech firms, finance, healthcare, consulting | Retail, marketing, finance, tech |
Internship Data Science Analytics and Data Analyst Intern roles share similar skills and work environments, focusing on data handling and analysis. The main difference lies in scope: Data Science Analytics internships often involve more advanced statistical modeling and machine learning, while Data Analyst Intern roles emphasize data visualization and reporting. Both serve as entry points into data careers, with overlapping skills but different focus areas.
What to do in an internship data science analytics?
During a data science analytics internship, interns typically assist with data collection, cleaning, and analysis using tools like Python, R, or SQL. They work on real-world projects, develop models, and present insights to teams, gaining practical experience in data-driven decision making and analytics techniques.
What are the most commonly searched types of Data Science Analytics jobs in Seattle, WA?
The most popular types of Data Science Analytics jobs in Seattle, WA are:
Microsoft rating
8.5
Based on 132 frontline employees who took The Breakroom Quiz
81st of 247 rated software companies
Job description
Overview
Microsoft AI (MAI) is building the next generation of AI-powered consumer experiences across Microsoft products, connecting people to information, entertainment, shopping, and productivity through intelligent, personalized experiences. MSN and Copilot Discover are at the center of this vision, helping millions of users discover relevant content, stay informed, and engage with the web in meaningful ways.
The MSN & Copilot Discover Business Analytics team serves as a horizontal analytics team supporting multiple product, engineering, marketplace, monetization, and business teams across the ecosystem. We are responsible for driving business insights, forecasting, strategic planning, experimentation, monetization analytics, and decision-making frameworks that influence product investments and business outcomes at scale.
We are seeking an experienced Principal Business Analytics Data Scientist with solid business acumen, deep analytical expertise, and experience in content platforms, digital advertising, and monetization. This role offers a unique opportunity to work at the intersection of user engagement, AI-powered content discovery, and revenue optimization while partnering closely with product teams, MAI Marketplace, Monetization, Finance, and Engineering organizations.
The ideal candidate combines rigorous analytical thinking with a solid understanding of content ecosystems, advertising marketplaces, user engagement, forecasting, experimentation, and business strategy. They are comfortable navigating ambiguity, influencing senior stakeholders, and translating complex data into actionable business decisions.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Starting August 17, 2026, Microsoft Advertising employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least 3 days per week. This expectation is subject to local law and may vary by jurisdiction.
Responsibilities
Qualifications
Required Qualifications:
Preferred Qualifications:
#MicrosoftAI #BusinessAnalytics #DataScientist #MAI #Copilot #Monitization
Data Science IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 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 $188,000 - $304,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
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.
Microsoft AI (MAI) is building the next generation of AI-powered consumer experiences across Microsoft products, connecting people to information, entertainment, shopping, and productivity through intelligent, personalized experiences. MSN and Copilot Discover are at the center of this vision, helping millions of users discover relevant content, stay informed, and engage with the web in meaningful ways.
The MSN & Copilot Discover Business Analytics team serves as a horizontal analytics team supporting multiple product, engineering, marketplace, monetization, and business teams across the ecosystem. We are responsible for driving business insights, forecasting, strategic planning, experimentation, monetization analytics, and decision-making frameworks that influence product investments and business outcomes at scale.
We are seeking an experienced Principal Business Analytics Data Scientist with solid business acumen, deep analytical expertise, and experience in content platforms, digital advertising, and monetization. This role offers a unique opportunity to work at the intersection of user engagement, AI-powered content discovery, and revenue optimization while partnering closely with product teams, MAI Marketplace, Monetization, Finance, and Engineering organizations.
The ideal candidate combines rigorous analytical thinking with a solid understanding of content ecosystems, advertising marketplaces, user engagement, forecasting, experimentation, and business strategy. They are comfortable navigating ambiguity, influencing senior stakeholders, and translating complex data into actionable business decisions.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Starting August 17, 2026, Microsoft Advertising employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least 3 days per week. This expectation is subject to local law and may vary by jurisdiction.
Responsibilities
- Serve as a trusted analytics partner to leadership and cross-functional teams, translating data into clear business recommendations.
- Partner with Product, Engineering, MAI Marketplace, Monetization, Finance, and Business Planning teams to shape strategy and investment decisions.
- Analyze user engagement, content consumption, marketplace dynamics, and revenue performance to identify growth opportunities and business risks.
- Develop business frameworks that connect product initiatives, user behavior, content quality, and monetization outcomes.
- Build forecasting and scenario-planning models for engagement, traffic, ad requests, and revenue.
- Leverage AI and machine learning solutions to automate business insights, improve forecasting accuracy, enhance decision-making processes, and scale analytical capabilities across the organization.
- Evaluate tradeoffs between user experience, engagement, and monetization to support long-term business growth.
- Communicate insights clearly to senior stakeholders and influence decisions through data-driven storytelling.
Qualifications
Required Qualifications:
- 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 Qualifications:
- 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.
- Experience in content ecosystems, news feeds, recommendation systems, search, shopping, or content discovery platforms.
- Experience partnering with advertising, monetization, or marketplace organizations.
- Familiarity with key engagement and monetization metrics such as sessions, time spent, retention, RPM, ad requests, inventory utilization, advertiser demand, and marketplace efficiency.
- Experience leading analytics for large-scale consumer products with millions of users.
- Demonstrated success influencing product strategy and business outcomes through data-driven insights.
- Solid understanding of AI-powered consumer experiences and their impact on user engagement and monetization.
- Experience managing cross-functional initiatives involving Product, Engineering, Monetization, Marketplace, and Finance stakeholders.
#MicrosoftAI #BusinessAnalytics #DataScientist #MAI #Copilot #Monitization
Data Science IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 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 $188,000 - $304,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
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
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Workplace
Get the full story on Breakroom
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