2

Remote Economics Data Science Jobs in Remote, OR

Data Scientist

OR · On-site +1

Bachelor's degree in Data Science, Statistics, Computer Science, or a related field, or; * seven ... Full remote flexibility. Working at SOSi All interested individuals will receive consideration and ...

Bachelor's degree in Data Science, Statistics, Computer Science, or a related field, or; * seven ... Full remote flexibility. Working at SOSi All interested individuals will receive consideration and ...

Master's degree in Data Science, Machine Learning, Statistics, or a related field, or; * nine (9) ... Full remote flexibility. Working at SOSi All interested individuals will receive consideration and ...

Master's degree in Data Science, Machine Learning, Statistics, or a related field, or; * nine (9) ... Full remote flexibility. Working at SOSi All interested individuals will receive consideration and ...

... in Finance, Economics, Data Analytics, Computer Science, Business, or a related field, or ... Benefits Bonus Structure #LI-Remote #LI-KM2 Requisition #: 342668 Life at Lumen Life at Lumen is ...

Senior Lead Applied AI Scientist

OR · Remote

$176K - $220K/yr

Required Qualifications * 7+ years of experience in applied AI, machine learning, or data science ... Bonus Structure #LI-REMOTE #LI-SB1 Requisition #: 342925 Life at Lumen Life at Lumen is human and ...

Head of AI

OR · On-site +1

This executive role owns practice P&L, builds scalable offerings (GenAI, ML, data science, AI ... Geography: United States and Canada (remote/hybrid depending on location) * Travel: Up to 25-40 ...

Head of AI

OR · Remote

This executive role owns practice P&L, builds scalable offerings (GenAI, ML, data science, AI ... Geography: United States and Canada (remote/hybrid depending on location) * Travel: Up to 25-40 ...

AI Engineer

OR · On-site +1

AI Engineer Remote, USA; potential for minimal ad hoc travel EMKS is seeking an AI Engineer to ... Bachelor's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or ...

AI Engineer Temporary Assignment (through 2/13/2027) Remote, USA; potential for minimal ad hoc ... Bachelor's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or ...

... Economics, Management Information Systems (MIS), Information Technology, Computer Science, or ... Benefits Bonus Structure #LI-Remote Requisition #: 343105 Life at Lumen Life at Lumen is human and ...

New

next page

Showing results 1-20

Remote Economics Data Science information

See Remote, OR salary details

$41.5K

$142.3K

$200.8K

How much do remote economics data science jobs pay per year?

As of Aug 22, 2026, the average yearly pay for remote economics data science in Remote, OR is $142,320.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,400.00 and $166,300.00 per year, depending on experience, location, and employer.

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.

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 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.

What job categories do people searching Remote Economics Data Science jobs in Remote, OR look for?

The top searched job categories for Remote Economics Data Science jobs in Remote, OR are:

What cities near Remote, OR are hiring for Remote Economics Data Science jobs?

Cities near Remote, OR with the most Remote Economics Data Science job openings:

Infographic showing various Remote Economics Data Science job openings in Remote, OR as of June 2026, with employment types broken down into 50% Internship, and 50% Full Time. Highlights an 100% Remote job distribution, with an average salary of $142,320 per year, or $68.4 per hour.

Data Scientist

SOSi

OR • On-site, Remote

Full-time

Re-posted 6 days ago


Job description

Company Description
Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide.
Job Description
SOSi is seeking a Data Scientist to support mission requirements for a structured approach to further develop, integrate, and sustain a scalable, federated data ecosystem that enhances interoperability, governance, and mission-driven analytics for a DoD customer. The primary objective of the program is to bridge the operational gaps between DoD, IC, interagency, and non-traditional international partners to enable real-time information sharing, dynamic data integration, and mission-tailored analytical capabilities.
Essential Job Duties:
  • The contractor shall develop and refine predictive models, conduct exploratory data analysis, and generate AI-driven insights to enhance intelligence and operational planning.
  • The contractor shall integrate customer feedback into model iteration cycles, leveraging Agile development methodologies to maintain responsiveness to mission requirements.
  • The contractor shall submit the Predictive Model Performance Report, documenting key findings, model accuracy metrics, and operational impact assessments.
  • The contractor shall implement sprint-based Agile methodologies, ensuring rapid development cycles, backlog grooming, and alignment with mission requirements.
  • The contractor shall provide a Rough Order of Magnitude (ROM) Estimate Report before each analytics project, detailing expected Full-Time Equivalent (FTE) hours, compute costs, storage consumption, and infrastructure requirements.
  • The contractor shall conduct quarterly reviews to track cost efficiency, assess system performance, and optimize analytic workflows through the Quarterly Cost & Resource Utilization Report.

Qualifications
  • Bachelor's degree in Data Science, Statistics, Computer Science, or a related field, or;
    • seven (7) years of equivalent experience in machine learning and predictive modeling.
  • Proposed personnel possess the knowledge and capability to develop and refine predictive models, analyze large-scale datasets, and document analytic processes.
  • Proficient in data mining, statistical modeling, and AI-driven forecasting techniques, with experience in working with structured and unstructured data sources.
  • Knowledge of data visualization, feature selection, and geospatial analytics is required.
  • Personnel must be capable of integrating data from multiple sources, ensuring model accuracy, and working within an Agile sprint cycle to deliver iterative improvements.
  • Demonstrated experience in exploratory data analysis, feature engineering, and statistical testing. Experience with Python, R, SQL, and data science libraries (e.g., Pandas, NumPy, SciPy) is required.
  • Personnel must have experience in cloud-based AI/ML tools, such as AWS SageMaker or Azure Machine Learning, and in implementing models into operational workflows.

Preferred Qualifications:
  • Desirable but not required certifications include AWS Certified Data Analytics - Specialty, Microsoft Certified: Azure AI Fundamentals, or Certified Data Scientist (CDS).

Additional Information
Work Environment
  • Full remote flexibility.

Working at SOSi
All interested individuals will receive consideration and will not be discriminated against for any reason.