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Manager Economist Data Scientist Jobs (NOW HIRING)

Microsoft

Principal Data Scientist

Redmond, WA · On-site

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 ...

CYNET SYSTEMS

Data Scientist

San Ramon, CA · On-site

$93 - $98/hr

Manages development of quantitative models and tools. * Collaborates with leaders, other LOBs, and ... Bachelor's Degree in Econometrics, Economics, Engineering, Mathematics, Applied Sciences ...

Bunge

Data Scientist

Chesterfield, MO · On-site

The Data Scientist will be an integral part of the Bunge Economic Analysis team, leveraging ... management. Skill/Experience Requirements: • Minimum MS degree in Economics, Agricultural ...

Bunge

Data Scientist

Chesterfield, MO · On-site

The Data Scientist will be an integral part of the Bunge Economic Analysis team, leveraging ... risk management. Skill/Experience Requirements: Minimum MS degree in Economics, Agricultural ...

Microsoft Corporation

Senior Data Scientist

Redmond, WA · On-site

$119K - $234K/yr

Doctorate in Data Science , Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured ...

Bunge North America

Data Scientist

Chesterfield, MO · On-site +1

The Data Scientist will be an integral part of the Bunge Economic Analysis team, leveraging ... risk management.Skill/Experience Requirements: Minimum MS degree in Economics, Agricultural ...

Intuit

Senior Data Scientist

Mountain View, CA · On-site

$149K - $202K/yr

You will partner directly with cross-functional teams--across Product Management, Engineering, Data ... Lead causal inference and econometric analyses to understand and influence key levers of business ...

Bunge

Data Scientist

Chesterfield, MO · On-site +1

The Data Scientist will be an integral part of the Bunge Economic Analysis team, leveraging ... risk management. Skill/Experience Requirements: Minimum MS degree in Economics, Agricultural ...

Intuit

Senior Data Scientist

San Diego, CA · On-site

$149K - $202K/yr

You will partner directly with cross-functional teams--across Product Management, Engineering, Data ... Lead causal inference and econometric analyses to understand and influence key levers of business ...

Intuit Inc.

Senior Data Scientist

San Diego, CA · On-site

$120 - $160/hr

You will partner directly with cross-functional teams--across Product Management, Engineering, Data ... Lead causal inference and econometric analyses to understand and influence key levers of business ...

Microsoft

Senior Data Scientist

Redmond, WA · On-site

$119K - $234K/yr

Doctorate in Data Science , Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured ...

Intuit

Senior Data Scientist

San Diego, CA · On-site

$149K - $202K/yr

You will partner directly with cross-functional teams-across Product Management, Engineering, Data ... Lead causal inference and econometric analyses to understand and influence key levers of business ...

City of New York

Senior Data Scientist

Manhattan, NY · On-site

The Research and Analytics Division ("RAD") performs economic analysis in support of the agency's policy work, produces public-facing research products, provides data science and technologist support ...

City of New York

Senior Data Scientist

Manhattan, NY · On-site

The Research and Analytics Division ("RAD") performs economic analysis in support of the agency ... The Senior Data Scientist will work closely with DCWP Investigators and Attorneys to develop and ...

Intuit

Senior Data Scientist

Mountain View, CA

$149K - $202K/yr

You will partner directly with cross-functional teams-across Product Management, Engineering, Data ... Lead causal inference and econometric analyses to understand and influence key levers of business ...

City of New York

Senior Data Scientist

Manhattan, NY

The Research and Analytics Division ("RAD") performs economic analysis in support of the agency ... The Senior Data Scientist will work closely with DCWP Investigators and Attorneys to develop and ...

City of New York

Senior Data Scientist

Manhattan, NY · On-site

$125K - $150K/yr

The Research and Analytics Division ("RAD") performs economic analysis in support of the agency's policy work, produces public-facing research products, provides data science and technologist support ...

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Manager Economist Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do manager economist data scientist jobs pay per year?

As of Aug 19, 2026, the average yearly pay for manager economist data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a manager economist data scientist?

Manager Economist Data Scientists are professionals who combine expertise in data science, economics, and management. They lead teams that analyze data to provide economic insights, create predictive models, and inform business decisions. These professionals often oversee projects involving large datasets, apply economic theories, and use advanced analytics to solve organizational problems. Their role requires strong leadership, technical skills, and the ability to communicate complex findings to stakeholders.

How do manager economist data scientists balance technical data analysis with team leadership responsibilities?

Manager Economist Data Scientists often split their time between hands-on data analysis—such as building economic models and conducting statistical research—and managerial tasks like mentoring team members, overseeing project progress, and aligning data strategy with business goals. Effective communication is key, as the role requires translating complex analytical findings for stakeholders and collaborating across departments. Time management and delegation are crucial to ensure both technical depth and strong leadership within the team.

What are the key skills and qualifications needed to thrive as a manager economist data scientist?

Success as a Manager Economist Data Scientist requires a strong background in economics, statistical modeling, data analysis, and typically a master's or Ph.D. in a quantitative field. Expertise with programming languages like Python or R, machine learning frameworks, and data visualization tools is highly valuable, along with familiarity with big data platforms. Leadership, strategic thinking, and effective communication are crucial soft skills for guiding teams and translating complex findings to stakeholders. These competencies ensure impactful data-driven decisions, clear direction for teams, and alignment with organizational goals.

What is the difference between Manager Economist Data Scientist vs Data Analyst?

AspectManager Economist Data ScientistData Analyst
Required CredentialsMaster's or PhD in Economics, Data Science, or related fields; advanced statistical and programming skillsBachelor's degree in Data Science, Statistics, or related fields; proficiency in data analysis tools
Work EnvironmentStrategic roles in corporate, finance, or government sectors; involved in high-level decision-makingOperational roles; focus on data collection, cleaning, and basic analysis
Employer & Industry UsageFinancial institutions, consulting firms, government agenciesRetail, marketing, healthcare, and other industries requiring data reporting

The Manager Economist Data Scientist typically holds advanced degrees and works on complex modeling and strategic analysis, whereas Data Analysts focus on data processing and reporting. Both roles are essential in data-driven organizations but differ in scope and expertise level.

How much do manager economist data scientists make?

Manager economist data scientists typically earn a salary ranging from $100,000 to $160,000 annually, depending on experience, location, and industry. They often require strong analytical skills, proficiency in statistical tools, and advanced degrees in economics or data science.

What cities are hiring for Manager Economist Data Scientist jobs?

Cities with the most Manager Economist Data Scientist job openings:

What are the most commonly searched types of Economist Data Scientist jobs?

The most popular types of Economist Data Scientist jobs are:

What states have the most Manager Economist Data Scientist jobs?

States with the most job openings for Manager Economist Data Scientist jobs include:

Manager Economist Data Scientist jobs near you

Principal Data Scientist

Microsoft

Redmond, WA • On-site

Full-time

Re-posted 9 days ago

Microsoft rating

8.5

Company rating: 8.5 out of 10

Based on 132 frontline employees who took The Breakroom Quiz

78th of 245 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
  • 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.

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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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