They are seeking a Principal, Data Science & Analytics to own cross product measurement strategy and partner with various teams to uphold high standards for metric quality and data-driven leadership.
They are seeking a Principal, Data Science & Analytics to own cross product measurement strategy and partner with various teams to uphold high standards for metric quality and data-driven leadership.
Analytics Knowledge - Clustering, Segmentation, Campaign Analytics, Loyalty Management, Forecasting * Data Understanding of Sales, Inventory, Store, Product and Promotion Data * Ability to translate ...
Analytics Knowledge - Clustering, Segmentation, Campaign Analytics, Loyalty Management, Forecasting * Data Understanding of Sales, Inventory, Store, Product and Promotion Data * Ability to translate ...
Analytics Knowledge - Clustering, Segmentation, Campaign Analytics, Loyalty Management, Forecasting. * Data Understanding of Sales, Inventory, Store, Product and Promotion Data. * Ability to ...
Analytics Knowledge - Clustering, Segmentation, Campaign Analytics, Loyalty Management, Forecasting. * Data Understanding of Sales, Inventory, Store, Product and Promotion Data. * Ability to ...
Analytics Knowledge - Clustering, Segmentation, Campaign Analytics, Loyalty Management, Forecasting. * Data Understanding of Sales, Inventory, Store, Product and Promotion Data. * Ability to ...
Analytics Knowledge - Clustering, Segmentation, Campaign Analytics, Loyalty Management, Forecasting. * Data Understanding of Sales, Inventory, Store, Product and Promotion Data. * Ability to ...
They are seeking a Principal, Data Science & Analytics to own cross product measurement strategy and uphold high standards for metric quality and statistical rigor in their AI ecosystem.
They are seeking a Principal, Data Science & Analytics to own cross product measurement strategy and uphold high standards for metric quality and statistical rigor in their AI ecosystem.
Analytics Knowledge - Clustering, Segmentation, Campaign Analytics, Loyalty Management, Forecasting * Data Understanding of Sales, Inventory, Store, Product and Promotion Data. * Ability to translate ...
Analytics Knowledge - Clustering, Segmentation, Campaign Analytics, Loyalty Management, Forecasting * Data Understanding of Sales, Inventory, Store, Product and Promotion Data. * Ability to translate ...
They are seeking a Principal, Data Science & Analytics to own cross product measurement strategy and partner with various teams to uphold high standards for metric quality and data-driven leadership.
They are seeking a Principal, Data Science & Analytics to own cross product measurement strategy and partner with various teams to uphold high standards for metric quality and data-driven leadership.
Principal, Data Science & Analytics
Redmond, WA · On-site
$163K - $296.40K/yr
We are seeking a Principal, Data Science & Analytics for ecosystem data science to own cross product measurement strategy, partner across product and business teams, and uphold a high bar for metric ...
Principal, Data Science & Analytics
Redmond, WA · On-site
$163K - $296.40K/yr
We are seeking a Principal, Data Science & Analytics for ecosystem data science to own cross product measurement strategy, partner across product and business teams, and uphold a high bar for metric ...
Data Scientist Lead
Tampa, FL · On-site
Coordinate with the USCENTCOM Chief Data Officer (CDO), the Operations Directorate Executive Data ... BA/BS or MA/MS in Data Science, Analytics, Computer Science, Information Technology, or a related ...
Data Scientist Lead
Tampa, FL · On-site
Coordinate with the USCENTCOM Chief Data Officer (CDO), the Operations Directorate Executive Data ... BA/BS or MA/MS in Data Science, Analytics, Computer Science, Information Technology, or a related ...
They are seeking a Principal, Data Science & Analytics to own cross product measurement strategy and uphold high standards for metric quality and data-driven leadership. Responsibilities : • ...
They are seeking a Principal, Data Science & Analytics to own cross product measurement strategy and uphold high standards for metric quality and data-driven leadership. Responsibilities : • ...
We are seeking a Principal, Data Science & Analytics for ecosystem data science to own cross product measurement strategy, partner across product and business teams, and uphold a high bar for metric ...
We are seeking a Principal, Data Science & Analytics for ecosystem data science to own cross product measurement strategy, partner across product and business teams, and uphold a high bar for metric ...
They are seeking a Principal, Data Science & Analytics to own cross product measurement strategy and uphold high standards for metric quality and data-driven leadership. Responsibilities : • ...
They are seeking a Principal, Data Science & Analytics to own cross product measurement strategy and uphold high standards for metric quality and data-driven leadership. Responsibilities : • ...
We are seeking a Principal, Data Science & Analytics for ecosystem data science to own cross product measurement strategy, partner across product and business teams, and uphold a high bar for metric ...
We are seeking a Principal, Data Science & Analytics for ecosystem data science to own cross product measurement strategy, partner across product and business teams, and uphold a high bar for metric ...
Pega Data Science & Analytics Location: Vienna, VA, Winchester, VA or Pensacola, FL (HYBRID) Duration: 6-9 months initial duration with possible extension Work Requirements: US Citizen or GC Holders ...
Pega Data Science & Analytics Location: Vienna, VA, Winchester, VA or Pensacola, FL (HYBRID) Duration: 6-9 months initial duration with possible extension Work Requirements: US Citizen or GC Holders ...
Director of SIOP Data Science & Analytics Department: Sales, Inventory & Operations Planning (SIOP) - Supply Chain Job Status: Full-Time Reports To: EVP of Supply Chain Travel: ~10% Work Schedule:
Director of SIOP Data Science & Analytics Department: Sales, Inventory & Operations Planning (SIOP) - Supply Chain Job Status: Full-Time Reports To: EVP of Supply Chain Travel: ~10% Work Schedule:
Together, we push the boundaries of known science and find new ways to connect and protect our ... This role requires a strong background in data visualization, analysis, and report generation. You ...
Together, we push the boundaries of known science and find new ways to connect and protect our ... This role requires a strong background in data visualization, analysis, and report generation. You ...
Together, we push the boundaries of known science and find new ways to connect and protect our ... This role requires a strong background in data visualization, analysis, and report generation. You ...
Together, we push the boundaries of known science and find new ways to connect and protect our ... This role requires a strong background in data visualization, analysis, and report generation. You ...
This leader will serve as the primary analytics executive responsible for driving client success ... Manage and mentor analytics managers and data scientists working on the financial institution ...
This leader will serve as the primary analytics executive responsible for driving client success ... Manage and mentor analytics managers and data scientists working on the financial institution ...
Senior/Manager Data Science & Analytics Location: New York, NY Duration: 6 Months + Extension No of positions: 2 (1 senior consultant and 1 Manager) Requirements: 3+ years of experience with campaign ...
Senior/Manager Data Science & Analytics Location: New York, NY Duration: 6 Months + Extension No of positions: 2 (1 senior consultant and 1 Manager) Requirements: 3+ years of experience with campaign ...
Principal, Data Science & Analytics
Mountain View, CA · On-site
$163K - $296.40K/yr
Responsibilities AsaPrincipalData Scienceand Analytics in the team, your major responsibilities include: * Leadership: Mentor data scientists and align work with MAI ecosystem goals, driving ...
Principal, Data Science & Analytics
Mountain View, CA · On-site
$163K - $296.40K/yr
Responsibilities AsaPrincipalData Scienceand Analytics in the team, your major responsibilities include: * Leadership: Mentor data scientists and align work with MAI ecosystem goals, driving ...
Executive Data Science Analytics information
See salary details
$26.5K - $40.8K
11% of jobs
$40.8K - $55.1K
12% of jobs
$56.8K is the 25th percentile. Wages below this are outliers.
$55.1K - $69.5K
22% of jobs
The median wage is $77.4K / yr.
$69.5K - $83.8K
10% of jobs
$83.8K - $98.1K
9% of jobs
$98.1K - $112.4K
11% of jobs
$114.6K is the 75th percentile. Wages above this are outliers.
$112.4K - $126.7K
11% of jobs
$126.7K - $141K
4% of jobs
$141K - $155.4K
11% of jobs
$155.4K - $169.7K
0% of jobs
$169.7K - $184K
1% of jobs
$26.5K
$93.6K
$184K
How much do executive data science analytics jobs pay per year?
As of May 28, 2026, the average yearly pay for executive data science analytics in the United States is $93,552.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,000.00 and $120,500.00 per year, depending on experience, location, and employer.
What is the difference between Executive Data Science Analytics vs Data Scientist?
| Aspect | Executive Data Science Analytics | Data Scientist |
|---|---|---|
| Credentials | Advanced degrees (Master's/PhD), certifications in analytics or data science | Bachelor's or Master's in Data Science, Computer Science, or related fields |
| Work Environment | Strategic leadership, executive meetings, cross-departmental collaboration | Technical analysis, coding, model development, data exploration |
| Employer & Industry Usage | Senior roles in corporations, consulting firms, and tech companies | Tech companies, finance, healthcare, and research organizations |
| Search & Comparison Intent | Understanding strategic vs technical roles, career progression | Technical skills, daily tasks, qualifications |
Executive Data Science Analytics focuses on strategic decision-making, leadership, and high-level analytics, often requiring advanced degrees and certifications. Data Scientists are more hands-on with technical analysis, coding, and model building. Both roles are vital in data-driven organizations but differ in scope, responsibilities, and work environment.
What cities are hiring for Executive Data Science Analytics jobs? Cities with the most Executive Data Science Analytics job openings:
What are the most commonly searched types of Data Science Analytics jobs? The most popular types of Data Science Analytics jobs are:
What states have the most Executive Data Science Analytics jobs? States with the most job openings for Executive Data Science Analytics jobs include:
Full-time
Posted 22 days ago
Job description
Job Summary:
Microsoft AI (MAI) builds an integrated consumer AI ecosystem focused on delivering trustworthy experiences. They are seeking a Principal, Data Science & Analytics to own cross product measurement strategy and partner with various teams to uphold high standards for metric quality 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 AI is a software development company. Founded in 2024, the company is headquartered in Redmond, USA, with a team of 5001-10000 employees. The company is currently Late Stage.
Microsoft AI (MAI) builds an integrated consumer AI ecosystem focused on delivering trustworthy experiences. They are seeking a Principal, Data Science & Analytics to own cross product measurement strategy and partner with various teams to uphold high standards for metric quality 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 AI is a software development company. Founded in 2024, the company is headquartered in Redmond, USA, with a team of 5001-10000 employees. The company is currently Late Stage.