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Manager Economist Data Scientist Jobs (NOW HIRING)

Data Scientist

Cincinnati, OH · On-site

$55 - $60/hr

The ideal candidate will have hands-on experience applying causal inference and econometric ... Experience with MLOps, deployment, orchestration, monitoring, and model lifecycle management.

Description THE OPPORTUNITY As a Data Scientist, you will have the opportunity to learn and apply ... Ability to effectively manage simultaneous projects and deadlines * Bachelor's degree in Economics ...

THE OPPORTUNITY As a Data Scientist, you will have the opportunity to learn and apply RMS ... Ability to effectively manage simultaneous projects and deadlines * Bachelor's degree in Economics ...

THE OPPORTUNITY As a Data Scientist, you will have the opportunity to learn and apply RMS ... Ability to effectively manage simultaneous projects and deadlines * Bachelor's degree in Economics ...

We deliver strategic workforce solutions that help you manage your talent and business more ... Build statistical and econometric models for various problems including: projections, clustering ...

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 ...

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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 Sep 9, 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:

Economic Data Scientist - Government Of Alberta

California, MO • On-site

$60 - $80/hr

Other

This job post has expired today. Applications are no longer accepted.


Job description

Job Information

Job Requisition ID: 86891 Ministry: Jobs, Economy, Trade and Immigration Location: Edmonton Full or Part-Time: Full Time Hours of Work: 36.25 hours per week Permanent/Temporary: Permanent Scope: Open competition Closing Date: September 1, 2026 Classification: Program Services 4 Salary: 3,148.20 to $4,126.82 bi-weekly ($82,168 - $107,710/year) The Alberta Public Service works to build a stronger province for current and future generations. We make a difference in the lives of Albertans through rewarding and diverse career opportunities. Ministry of Jobs, Economy, and Trade and Immigration

Leading efforts to grow Alberta's economy by supporting Alberta's entrepreneurs and employers, promoting trade and investment, helping recruit and retain workers, and promoting safe, fair and healthy workplaces by:

  • Jobs: helping attract skilled workers and establishing and enforcing Alberta's employment standards and laws governing the health and safety of Alberta's workplaces.
  • Economy: supporting Alberta entrepreneurs, businesses and communities to drive growth and job creation.
  • Regional development: supporting the unique economic development needs of Alberta's various regions.
  • Trade and investment: attracting investment, promoting trade and supporting Alberta businesses' abilities to access new markets.

Role Responsibilities

The Ministry of Jobs, Economy, Trade and Immigration is seeking an innovative and highly analytical professional to join the Data and Analytics Unit as an Economic Data Scientist. This position plays a key role in supporting economic development and evidence-based policy by leveraging advanced analytics, machine learning, econometrics, and emerging artificial intelligence technologies to generate actionable insights. Reporting to the Manager, Analytics, the Economic Data Scientist leads complex analytics projects, develops predictive models and data products, and translates sophisticated economic and statistical analysis into meaningful information that supports strategic decision-making across government. The role also supports the implementation of generative AI solutions and advanced analytics tools to improve business processes and policy outcomes. Responsibilities

As the Economic Data Scientist, you will:

  • Lead advanced analytics projects involving economic, labour market, and industry datasets.
  • Develop and maintain statistical, econometric, machine learning, and predictive models.
  • Build and maintain data pipelines, analytical tools, and automated processes using programming languages such as Python.
  • Develop dashboards, data visualizations, web applications, and interactive reporting tools.
  • Support policy development through quantitative analysis and evidence-based recommendations.
  • Translate complex technical findings into clear business insights for decision-makers.
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