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Economics And Computer Science Jobs in Missouri (NOW HIRING)

Data Scientist, Level 4

California, MO · On-site

$120 - $180/hr

Bachelor's Degree in a relevant technical field such as statistics, mathematics, economics, computer science, engineering or related field or equivalent years of practical work experience * 3+ years ...

New

Senior Data Scientist

California, MO · On-site

$120 - $180/hr

Bachelor's Degree in a relevant technical field such as statistics, mathematics, economics, computer science, engineering or related field or equivalent years of practical work experience * 5+ years ...

New

Business Data Specialist

Columbia, MO · On-site

$101K - $125K/yr

Bachelor's or Master's degree in a quantitative field such as mathematics, statistics, economics, computer science, or a related discipline is preferred. * Proven experience (4+ years) as a Data ...

Degree in Mathematics or Statistics, Economics, Computer Science, Predictive Analytics or similar * Experience with an object-oriented programming language (R, Python etc.) * Ability to write ...

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 6 years' experience in an analytics related field. Option 2: ...

(USA) Director, Data Science

Anderson, MO · On-site

$130K - $260K/yr

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 6 years' experience in an analytics related field. Option 2: ...

(USA) Director, Data Science

Noel, MO · On-site

$130K - $260K/yr

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 6 years' experience in an analytics related field. Option 2: ...

Requires an MS or PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, Operations Research, Engineering, Data Science, Economics, or a related quantitative discipline * Minimum ...

New

Bachelor's degree in Analytics, Statistics, Mathematics, Economics, Computer Science, Engineering, Business, or a related field. * Master's degree preferred. * Experience in retail, eCommerce, ...

Bachelor's degree in Analytics, Statistics, Mathematics, Economics, Computer Science, Engineering, Business, or a related field. * Master's degree preferred. * Experience in retail, eCommerce, ...

Bachelor's degree in Analytics, Statistics, Mathematics, Economics, Computer Science, Engineering, Business, or a related field. * Master's degree preferred. * Experience in retail, eCommerce, ...

Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field AND 3+ years' experience in data science or Machine Learning roles with ...

Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field AND 3+ years' experience in data science or Machine Learning roles with ...

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Economics And Computer Science information

Infographic showing various Economics And Computer Science job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution.

Senior Global Health Development Economist

Jobtailor

California, MO • On-site

$110 - $150/hr

Other

Posted 3 days ago

New


Job description

Responsibilities
  • Serve as a bridge between data scientists, economists, and domain experts, translating across disciplines to ensure that analytical approaches are both methodologically rigorous and grounded in real-world development and global health challenges.
  • Design and implement quantitative analyses to address global health challenges in low and middle income countries, with a focus on predictive analytics, geospatial analyses, and causal design.
  • Apply machine learning and AI approaches, including predictive analytics, to real-world datasets (e.g., on AIR’s malaria early warning system and other geospatial or satellite data) to generate forward-looking insights and support innovative, data-driven solutions in global health and development contexts.
  • Develop and implement machine learning and predictive analytics workflows using Python (and, where appropriate, R) to analyze complex development and global health data.
  • Integrate and analyze survey, administrative, and remotely sensed (e.g., satellite or geospatial) data to generate novel insights on development and global health challenges.
  • Contribute to the design and execution of applied research studies, including experimental and quasi-experimental approaches where appropriate.
  • Translate complex analytical results into clear, actionable recommendations for policymakers, program implementers, and funders.
  • Collaborate with multidisciplinary teams, including economists, data scientists, and sector specialists, to integrate data-driven approaches into projects.
  • Support business development efforts, including drafting technical approaches, shaping analytical strategies for proposals, and contributing to engagement with donors such as the Gates Foundation, World Bank, U.S. Department of State, UNICEF, and other partners.
  • Engage with partners and stakeholders in Low- and Middle-Income Countries (LMICs) to ensure analyses are grounded in contextual realities and implementation constraints.
  • Mentor and supervise junior researchers and data scientists, fostering professional growth and technical excellence.
  • Manage multidisciplinary project teams and ensure high-quality deliverables aligned with client expectations.
Requirements
  • Ph.D. in Economics, Computer Science, Data Science, Public Policy, Global Health, or a related quantitative or social science field, with demonstrated expertise in econometrics, machine learning, computer science, applied statistics, or quantitative data science.
  • Minimum of 3 years of experience conducting quantitative research in policy-relevant domains.
  • Extensive experience with Python and R; working knowledge of Stata.
  • Proven track record of designing and executing data analytics tools, such as forecasting, geospatial analyses, Large Language Model (LLM) models, etc.
  • Prior research experience in areas such as development economics, health economics, global health, or international development more broadly.
  • Experience managing complex projects and working with government, nonprofit, or philanthropic clients.
  • Experience in business development and fundraising with nonprofit, government, or multilateral agencies in the global health space.
Core Competencies

Demonstrates expertise in quantitative analysis and machine learning, with a strong focus on global health and development challenges. Capable of translating complex data insights into actionable recommendations while managing multidisciplinary teams and engaging with stakeholders in low- and middle-income countries.

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