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Remote Economist Data Scientist Jobs (NOW HIRING)

Redfish Recruiting

Principal Data Scientist

Principle Data Scientist - EdTech Remote About: We are an educational startup dedicated to building ... economic status, race, color, or creed. Founded by one of the US's oldest tutoring companies, we ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Data Scientist Workplace: Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV) Clearance Required: a TS or CBP BI or DHS Suitability clearance ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Data Scientist Workplace: Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV) Clearance Required: a TS or CBP BI or DHS Suitability clearance ...

DevTech Systems, Inc.

Data Scientist

Washington, DC · On-site +1

Qualifications Bachelor's degree in Data Science, Computer Science, Economics, Statistics, or a ... C. with the possibility of remote work, pending approval. The applicant must have a U.S ...

Bread Financial

Lead Data Scientist

Draper, UT · On-site +1

$144K - $250K/yr

... Economics * 8 - 10 years experience in building sophisticated models using machine learning ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

Bread Financial

Lead Data Scientist

Frisco, TX · On-site +1

$144K - $250K/yr

... Economics * 8 - 10 years experience in building sophisticated models using machine learning ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

Bread Financial

Lead Data Scientist

Chadds Ford, PA · On-site +1

$144K - $250K/yr

... Economics * 8 - 10 years experience in building sophisticated models using machine learning ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

Mondo

Data Scientist

Phoenix, AZ · Remote

$65 - $75/hr

Senior Data Scientist , Remote. Start date is ASAP for this 12 Month Contract position. Job Title: Senior Data Scientist Location/Type: Remote (Candidate must reside in Pacific, Mountain, or Central ...

Bread Financial

Lead Data Scientist

New York, NY · On-site +1

$144K - $250K/yr

... Economics * 8 - 10 years experience in building sophisticated models using machine learning ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

Bread Financial

Lead Data Scientist

Columbus, OH · On-site +1

$144K - $250K/yr

... Economics * 8 - 10 years experience in building sophisticated models using machine learning ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

GD Resources LLC

Data Scientist - Remote Role

Remote Position Summary The Senior Data Scientist provides advanced analytical expertise supporting the SBA OIG Technology Solutions Division through the design, development, deployment, and ...

Fullpower Technologies

Data Scientist

Santa Cruz, CA · Remote

$130K - $170K/yr

Fullpower-AI delivers a complete B2B IoT platform for AI-powered algorithms, remote contactless ... Fullpower is seeking a passionate, team-oriented, and self-motivated Data Scientist interested in ...

ActioNet

Sr. Data Scientist

Description Senior Data Scientist Remote, United States Description ActioNet has an exciting ... Familiarity with demographic, economic, longitudinal, and geospatial data sources and structures.

ActioNet, Inc.

Sr. Data Scientist

Description Senior Data Scientist Remote, United States Description ActioNet has an exciting ... Familiarity with demographic, economic, longitudinal, and geospatial data sources and structures.

Reddit

Senior Data Scientist, Ads

US remote-friendly Reddit has a flexible first workforce. At Reddit we continue to grow our teams ... Statistics, Mathematics, Physics, Economics, or Operations Research * For M.S. holders: 5+ years of ...

ActioNet, Inc.

Sr. Data Scientist

Description Senior Data Scientist Remote, United States Description ActioNet has an exciting ... Familiarity with demographic, economic, longitudinal, and geospatial data sources and structures.

ActioNet

Sr. Data Scientist

Description Senior Data Scientist Remote, United States Description ActioNet has an exciting ... Familiarity with demographic, economic, longitudinal, and geospatial data sources and structures.

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Remote Economist Data Scientist information

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

As of Sep 11, 2026, the average yearly pay for remote 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 remote economist data scientist?

Remote Economist Data Scientists are professionals who analyze economic data and trends using advanced data science techniques, such as statistical modeling and machine learning, all while working outside of a traditional office environment. They leverage large datasets to uncover economic insights, forecast trends, and provide recommendations to businesses, governments, or research organizations. Their remote role allows them to collaborate with global teams and access data from anywhere, offering flexibility and often requiring strong communication and technical skills. These professionals typically have backgrounds in economics, statistics, and computer science, enabling them to interpret complex data and inform decision-making.

What skills and qualifications are needed to thrive as a remote economist data scientist?

To thrive as a Remote Economist Data Scientist, you need a solid background in economics, statistical analysis, and data modeling, typically supported by an advanced degree in economics, statistics, or a related field. Proficiency with programming languages such as Python or R, experience with data visualization tools, and familiarity with big data platforms and econometric software are essential. Strong problem-solving skills, effective communication, and the ability to work independently are standout soft skills for this role. These skills ensure the ability to derive actionable insights from complex datasets, communicate findings clearly, and contribute meaningfully to data-driven decision-making in a remote environment.

How does a remote economist data scientist typically collaborate with cross-functional teams in a remote work environment?

As a Remote Economist Data Scientist, collaboration with cross-functional teams—such as engineering, product, and business strategy—is often facilitated through virtual meetings, shared documentation, and collaborative data platforms. Regular communication via video calls, Slack channels, and project management tools helps ensure alignment on goals and data insights. While working remotely presents challenges like time zone differences and building rapport, most organizations provide structured workflows and clear documentation to streamline teamwork. Proactive communication and thorough documentation are key to overcoming common remote collaboration hurdles and maintaining productivity.
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Remote Economist Data Scientist jobs near you

Principal Data Scientist

Remote

Redfish Recruiting
See more jobs at Redfish Recruitingexternal

Full-time

Medical, Dental, Vision, PTO

Re-posted 27 days ago

Job description

Principle Data Scientist - EdTech
Remote
About:
We are an educational startup dedicated to building the new foundations of education. Our mission is to ensure everyone on the planet has access to the best learning resources regardless of their geographic location, socio-economic status, race, color, or creed. Founded by one of the US's oldest tutoring companies, we are well-established, funded, and deeply committed to enabling the world's best learning experiences with innovation and research.
Why Join Us:
We are BIG thinkers who understand our role in the world as movers and shakers in the educational sector. We embrace challenges with emboldened excitement, understanding that challenges are opportunities to build better systems and tools that serve the planet. Here, you will have the opportunity to try new approaches, pioneer new systems, and create a just world with democratized education for all. Join our work, contribute to shaping our culture, and revolutionize education in the new AI epoch.
About the Team:
We are a pioneering AI team committed to spearheading innovation in leveraging cutting-edge technologies in foundation models to enhance educational experiences, Our team culture cherishes the "First Principles Thinking" approach, and we deeply value understanding things at their core and focusing on delivering solid, well-grounded solutions.
Description:
We are looking for a candidate with a proven track record in applied ML research/engineering. You will lead the development by training large-scale multimodal (2D/3D vision-language) models on distributed backends, deployment of compact neural architectures efficiently on device, and learning policies that can be personalized to the user in a privacy-preserving manner. Ensuring quality in the wild, with an emphasis on fairness and model robustness, would constitute an important part of the role. You will be interacting very closely with a variety of ML researchers, software engineers, hardware & design teams cross-functionally. The primary responsibilities of the role would center on enriching the multimodal capabilities of large language models. The user experience initiative would focus on aligning image/video/text content to the space of LMs for visual actions & multi-turn interactions.
The Role:
  • Build and lead a team of engineers and data scientists researching and developing flexible generative multimodal LLMs
  • Collaborate closely with cross-functional teams to identify and explore potential applications of large language models (LLMs) in multimodal psychological and educational data.
  • Proficiency in training, fine-tuning, and deploying LLMs, as well as staying up-to-date with the latest advancements and research in the field, is essential.
  • Develop and deploy models and algorithms to analyze and extract insights from large data sets, including psychological, academic, browsing, and interests, that can be utilized to develop student and teacher profiles.
  • Adopt and evaluate existing methods and tools, establish and maintain computational infrastructure and analytic pipelines in the lab
  • Ensure the accuracy, reliability, and scalability of the machine learning models and algorithms developed.
  • Collaborate with data engineering teams to ensure seamless integration and deployment of LLM models into production environments.

Qualifications:
  • Master's degree in Behavioral Data Science, Data Science, Machine Learning, Applied Mathematics, or a related field, coupled with a minimum of 5+ years of professional experience in a relevant field. (Education/Psychology/Computer Vision)
  • Outstanding Machine Learning in Self-supervised learning, FER, Transfer learning, Multimodal learning, and Deep learning
  • Strong practical experience with deep learning frameworks such as TensorFlow, Keras, or PyTorch
  • The passion and desire to make a meaningful impact for learners across the globe
  • Excellent communication skills, with the ability to effectively convey complex concepts to a non-technical audience
  • Highly self-motivated and capable of working independently with minimal supervision
  • Ability to adapt and thrive in a fast-paced and multifaceted research and development environment.

Preferred Qualifications:
  • A PhD in a quantitative field (Computer Science, Mathematics, Machine Learning, AI, Statistics, or equivalent).
  • 10+ years of experience working in data science in a consumer product company.
  • 5+ years of experience managing Machine Learning Scientists, Data Scientists, Research Scientists, Applied Scientists, and/or Economists.
  • Extensive knowledge and practical experience in several of the following areas: machine learning, statistics, NLP, deep learning, recommendation systems, dialogue systems, information retrieval, XGBoost, LightGBM, and ElasticNet.
  • Demonstrated industry leadership in the fields of Database and/or Data Warehousing, Data Sciences, and Big Data processing.
  • Deep understanding of data, applications, server, and network security
  • Successful record of developing less experienced team members to a successful career track.

Salary Range: $200-300k
Benefits:
  • Fully Remote
  • Equity options
  • Health Insurance
  • Dental Insurance
  • Paid sick time
  • Paid time off
  • Parental leave
  • Vision insurance
  • Family First Culture

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