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Remote Economics Data Science Jobs in Washington

Fraym

Mid/Senior Data Scientist

Arlington, VA · Remote

Organizations worldwide use our geospatial data to understand social and economic dynamics, design ... We are seeking candidates with a strong data science background and experience working in highly ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Must have a Advanced Degree (Master s or PhD) in Statistics, Applied Mathematics, Data Science ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Must have a Advanced Degree (Master s or PhD) in Statistics, Applied Mathematics, Data Science ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

Capital One

Manager, Data Science

Mclean, VA · On-site +1

Requires a bachelor's or foreign equivalent degree in Statistics, Economics, Operations Research ... McLean, VA * $170,872.00 - $267,900.00 for Manager, Data Science Candidates hired to work in other ...

Leidos

Data Scientist

Bethesda, MD · On-site +1

The percentage of remote work will vary based on client requirements/deliverables Fun stuff you ... Degree in a quantitative or analytical field such as Computer Science, Mathematics, Economics ...

Two Six Technologies

Data Scientist

Arlington, VA · On-site +1

We're looking for an experienced Data Scientist or Senior Data Scientist to join one of our cross ... Computer Science, Math, Statistics, Economics, Engineering, or similar field. Higher degrees ...

Booz Allen Hamilton, Inc.

Data Scientist

Alexandria, VA · On-site +1

Master's degree in Statistics, Computer Science, Data Science, or Economics Clearance: Applicants ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Booz Allen Hamilton, Inc.

Data Scientist

Washington, DC · On-site +1

$48K - $98K/yr

Remote Work: No Job Number: R0246169 Location: Washington,DC,US Share job via: Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held ...

Booz Allen Hamilton, Inc.

Data Scientist

Washington, DC · On-site +1

$48K - $98K/yr

Remote Work: No Job Number: R0246054 Location: Washington,DC,US Share job via: Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held ...

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Remote Economics Data Science information

What are the key skills and qualifications needed to thrive as a remote economics data scientist, and why are they important?

To thrive as a Remote Economics Data Scientist, you need a strong background in economics, statistics, and data analysis, typically supported by a degree in economics, statistics, or a related field. Proficiency in programming languages like Python or R, experience with data visualization tools, and familiarity with databases or cloud platforms are essential technical skills. Strong problem-solving abilities, effective communication, and self-motivation are vital soft skills for collaborating remotely and delivering actionable insights. These skills are crucial for accurately interpreting economic data, building predictive models, and driving data-informed decision-making in a remote environment.

How do remote economics data scientists typically collaborate with cross-functional teams?

Remote Economics Data Science professionals often work closely with teams in product, engineering, and business strategy through virtual meetings, shared dashboards, and collaborative tools. Communication is key, as they translate complex economic models and data findings into actionable insights for stakeholders with varying technical backgrounds. Regular check-ins, clear documentation, and participation in agile sprints or project cycles help align goals and ensure that data-driven recommendations are integrated into decision-making processes. Adapting to different time zones and building strong virtual relationships are important aspects of effective collaboration in this remote role.

What is a remote economics data scientist?

A Remote Economics Data Scientist is a professional who analyzes large sets of economic and financial data to extract insights, build predictive models, and support decision-making, all while working from a remote location. They combine expertise in economics, statistics, programming, and data analysis to interpret trends and inform business or policy strategies. Remote Economics Data Scientists often use tools such as Python, R, SQL, and data visualization platforms to communicate findings effectively. Their work can span industries like finance, government, consulting, and academia.
What are popular job titles related to Remote Economics Data Science jobs in Washington? For Remote Economics Data Science jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Remote Economics Data Science jobs in Washington look for? The top searched job categories for Remote Economics Data Science jobs in Washington are:
What cities in Washington are hiring for Remote Economics Data Science jobs? Cities in Washington with the most Remote Economics Data Science job openings:
Remote Economics Data Science jobs near you

Medicaid Economics Data Analyst - Full Time - Remote Role

GD Resources

Sterling, VA • Remote

Full-time

Re-posted 4 days ago

Job description


Data Analyst III – Medical Economics
Location: Fully Remote (CST/EST preferred; CA candidates must start ~6:00am PST)
Type: Permanent
Salary: $85,000–$95,000 base + 8% target bonus 
Industry: Healthcare / Managed Care
Overview
We are expanding our Medical Economics team and are seeking a Data Analyst III with strong managed care analytics experience. This role focuses on Medicare, Medicaid, and Marketplace analytics, reimbursement methodologies, and financial performance insights that support affordability, quality, and MLR targets.
The ideal candidate has hands-on experience working with large healthcare datasets, payment methodologies, and cross-functional stakeholders, with exposure to actuarial or medical economics workstreams.
Key Responsibilities
  • Analyze Medicare, Medicaid, and Marketplace data to support medical cost, utilization, and reimbursement insights
  • Develop and maintain complex SQL queries to extract, validate, and analyze large datasets
  • Perform financial and medical cost analyses related to payment and reimbursement methodologies (DRG, APC, EAPG)
  • Build and maintain Power BI dashboards using DAX and Power Pivot to track KPIs, MLR, and QAI initiatives
  • Create advanced Excel models using Pivot Tables, Power Query, nested formulas, and lookups to support financial modeling
  • Collaborate with Medical Economics, Actuarial, Finance, and other cross-functional teams
  • Support evaluation of Quality & Affordability Initiatives (QAI) and Medical Loss Ratio (MLR) performance
  • Ensure data accuracy through validation, reconciliation, and documentation
Required Qualifications
  • Bachelor’s degree in business, economics, statistics, mathematics, actuarial science, public health, health informatics, healthcare administration, finance, or related field
    • Equivalent experience considered
  • 4+ years of experience working with large datasets, data management, and analytics
    • OR 2+ years of IT/data-focused experience with healthcare exposure
  • Strong experience in Managed Care / Medical Economics analytics
  • Demonstrated knowledge of payment and reimbursement methodologies (DRG, APC, EAPG)
  • Advanced SQL skills (complex SELECTs, multiple JOINs, subqueries)
  • Advanced Excel skills (Pivot Tables, Power Query, VLOOKUP/XLOOKUP, financial modeling)
  • Power BI experience, including DAX and Power Pivot
Preferred / Nice-to-Have
  • Experience with actuarial or financial analytics in a healthcare setting
  • Exposure to Python and/or R
  • Consulting experience within managed care or medical economics
Additional Notes
  • No relocation available
  • No sponsorship
  • This is a new position due to team expansion
  • Candidates with actuarial-adjacent experience or prior medical economics consulting backgrounds have been especially successful in this team

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