1

Manager Economist Data Scientist Jobs (NOW HIRING)

Manage project deliverables and timelines, proactively communicate status, and escalate risks or ... Master's degree in Data Science, Statistics, Computer Science, Econometrics, Data Analytics ...

Manage project deliverables and timelines, proactively communicate status, and escalate risks or ... Master's degree in Data Science, Statistics, Computer Science, Econometrics, Data Analytics ...

Manage project deliverables and timelines, proactively communicate status, and escalate risks or ... Master's degree in Data Science, Statistics, Computer Science, Econometrics, Data Analytics ...

Manage project deliverables and timelines, proactively communicate status, and escalate risks or ... Master's degree in Data Science, Statistics, Computer Science, Econometrics, Data Analytics ...

Manage project deliverables and timelines, proactively communicate status, and escalate risks or ... Master's degree in Data Science, Statistics, Computer Science, Econometrics, Data Analytics ...

Manage project deliverables and timelines, proactively communicate status, and escalate risks or ... Master's degree in Data Science, Statistics, Computer Science, Econometrics, Data Analytics ...

Manage project deliverables and timelines, proactively communicate status, and escalate risks or ... Master's degree in Data Science, Statistics, Computer Science, Econometrics, Data Analytics ...

Manage project deliverables and timelines, proactively communicate status, and escalate risks or ... Master's degree in Data Science, Statistics, Computer Science, Econometrics, Data Analytics ...

Manage project deliverables and timelines, proactively communicate status, and escalate risks or ... Master's degree in Data Science, Statistics, Computer Science, Econometrics, Data Analytics ...

Manage project deliverables and timelines, proactively communicate status, and escalate risks or ... Master's degree in Data Science, Statistics, Computer Science, Econometrics, Data Analytics ...

Manage project deliverables and timelines, proactively communicate status, and escalate risks or ... Master's degree in Data Science, Statistics, Computer Science, Econometrics, Data Analytics ...

Manage project deliverables and timelines, proactively communicate status, and escalate risks or ... Master's degree in Data Science, Statistics, Computer Science, Econometrics, Data Analytics ...

Manage project deliverables and timelines, proactively communicate status, and escalate risks or ... Master's degree in Data Science, Statistics, Computer Science, Econometrics, Data Analytics ...

Manage project deliverables and timelines, proactively communicate status, and escalate risks or ... Master's degree in Data Science, Statistics, Computer Science, Econometrics, Data Analytics ...

Manage project deliverables and timelines, proactively communicate status, and escalate risks or ... Master's degree in Data Science, Statistics, Computer Science, Econometrics, Data Analytics ...

Manage project deliverables and timelines, proactively communicate status, and escalate risks or ... Master's degree in Data Science, Statistics, Computer Science, Econometrics, Data Analytics ...

Manage project deliverables and timelines, proactively communicate status, and escalate risks or ... Master's degree in Data Science, Statistics, Computer Science, Econometrics, Data Analytics ...

Manage project deliverables and timelines, proactively communicate status, and escalate risks or ... Master's degree in Data Science, Statistics, Computer Science, Econometrics, Data Analytics ...

Manage project deliverables and timelines, proactively communicate status, and escalate risks or ... Master's degree in Data Science, Statistics, Computer Science, Econometrics, Data Analytics ...

Showing results 21-40

Manager Economist Data Scientist information

See salary details

$37.5K

$122.7K

$196.5K

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

As of Sep 12, 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:

What are popular job titles related to Manager Economist Data Scientist jobs?

For Manager Economist Data Scientist jobs, the most frequently searched job titles are:

Data Scientist

Enterprise, FL • On-site

Techvilla Solutions
IT Services • 51 - 200 employees

Full-time

Posted 14 days ago


Job description

Key Responsibilities
  • Develop and implement statistical models, predictive analytics solutions, and machine learning models to address complex business problems.
  • Analyze large and complex datasets to identify trends, patterns, opportunities, and actionable insights.
  • Apply advanced statistical techniques, including regression analysis, decision trees, predictive modeling, and machine learning.
  • Translate data and quantitative analysis into actionable recommendations for Business Development, Marketing, and senior leadership.
  • Extract, transform, analyze, and visualize data using SQL, Python, Snowflake, and Power BI.
  • Develop dashboards, reports, and data visualizations to communicate analytical findings.
  • Partner with cross-functional stakeholders to define project objectives, deliverables, and analytical approaches.
  • Manage project deliverables and timelines, proactively communicate status, and escalate risks or issues as needed.
  • Ensure data quality, accuracy, and consistency throughout the analysis and modeling lifecycle.
  • Clearly communicate complex statistical models, analytical results, and business implications to both technical and non-technical audiences.
  • Stay current with emerging technologies, including Artificial Intelligence (AI), machine learning, and advanced analytics, and evaluate their relevance to business needs.
Required Qualifications
  • Master’s degree in Data Science, Statistics, Computer Science, Econometrics, Data Analytics, Predictive Analytics, or a related quantitative field.
  • 7+ years of experience in Data Science, Data Analytics, Statistics, Predictive Analytics, or a related quantitative field.
  • Proven experience working with large datasets in enterprise-level environments.
  • Strong expertise in statistical modeling and predictive analytics.
  • Strong programming experience with Python.
  • Strong SQL skills for data extraction, transformation, and analysis.
  • Experience developing and deploying Machine Learning models.
  • Experience with Power BI for data visualization and reporting.
  • Experience working with Snowflake or similar cloud data platforms.
  • Strong analytical, problem-solving, and strategic thinking skills.
  • Excellent written and verbal communication skills, with the ability to explain complex quantitative concepts to business and executive audiences.
  • Strong attention to detail with a focus on data quality, accuracy, and reliable results.
Preferred Qualifications
  • Experience in the healthcare industry.
  • Experience working with healthcare claims data.
  • Experience with R and other statistical programming tools.
  • Experience with enterprise-scale data platforms and analytics environments.
  • Knowledge of emerging AI and advanced machine learning technologies.
  • Proficiency with Microsoft Office, including Excel, Word, PowerPoint, and Access.