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Remote Amplify Science Jobs in Washington (NOW HIRING)

Fraym

Mid/Senior Data Scientist

Arlington, VA · Remote

Summary of Position Fraym is seeking a mid-to-senior level Data Scientist to amplify our team ... Location Fully remote within the USA, with travel once or twice a year for retreats and conferences.

primer.ai

Senior Technical Delivery Manager

Washington, DC · On-site +1

$180K - $220K/yr

Work with data scientists, machine learning engineers, software engineers, and designers to build ... USIT, Lux Capital, Amplify Partners, Addition Capital, Bloomberg Beta, and others. We are ...

primer.ai

Senior Technical Delivery Manager

Washington, DC · On-site +1

$180K - $220K/yr

Work with data scientists, machine learning engineers, software engineers, and designers to build ... USIT, Lux Capital, Amplify Partners, Addition Capital, Bloomberg Beta, and others. We are ...

Intact Technology

Senior Solution Consultant

Reston, VA · Remote

$180K - $200K/yr

Remote ABOUT US: At Intact Technology, we are driven by a shared commitment to customer success ... Bachelor's degree in Business, Information Technology, Computer Science, Engineering, or a related ...

All JobsAmplify Science JobsRemote Amplify Science JobsRemote Amplify Science Jobs in Washington

Remote Amplify Science information

What is the difference between Remote Amplify Science vs Remote Science Content Developer?

AspectRemote Amplify ScienceRemote Science Content Developer
Required CredentialsBachelor's in Education, Science, or related field; experience in curriculum designBachelor's in Science, Education, or related field; experience in content creation
Work EnvironmentRemote, collaborative teams, educational institutionsRemote, independent content development, educational publishers
Employer & Industry UsageEducational technology companies, schools, nonprofitsEducational publishers, edtech companies, content agencies
Search & Comparison IntentYesYes

Remote Amplify Science focuses on designing and implementing science curricula for educational institutions, often involving collaboration with schools and edtech companies. In contrast, a Remote Science Content Developer primarily creates science content for publishers or edtech platforms, emphasizing content creation and editing. Both roles require a background in science or education and are remote, but they differ in their core responsibilities and work environments.

What are popular job titles related to Remote Amplify Science jobs in Washington? For Remote Amplify Science jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Remote Amplify Science jobs in Washington look for? The top searched job categories for Remote Amplify Science jobs in Washington are:
What cities in Washington are hiring for Remote Amplify Science jobs? Cities in Washington with the most Remote Amplify Science job openings:
Remote Amplify Science jobs near you
Infographic showing various Remote Amplify Science job openings in Washington as of June 2026, with employment types broken down into 37% Full Time, 46% Part Time, 15% Contract, and 2% Nights. Highlights an 48% Physical, 3% Hybrid, and 49% Remote job distribution.

Mid/Senior Data Scientist

Fraym

Arlington, VA • Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 27 days ago

Job description

About Fraym
Fraym generates precise, localized data on demographics, attitudes, and behaviors, down to the town or village level. Organizations worldwide use our geospatial data to understand social and economic dynamics, design effective programs, and monitor investments across public health, economic development, climate resilience, security, and humanitarian response. Through survey research, geospatial analysis, and AI/ML, we are building scalable data infrastructure for mapping humanity.
Summary of Position
Fraym is seeking a mid-to-senior level Data Scientist to amplify our team’s NextGen R&D capabilities. Your contributions will support the mapping of demographic and behavioral patterns across some of the world’s most data-scarce regions. Your work will be split between highly complex, large experiments (75%) and technical mentorship (25%) responsibilities.
We are seeking candidates with a strong data science background and experience working in highly collaborative small teams. Preference will be given to applicants with experience in leveraging models to predict survey and/or geospatial data.:
Your responsibilities include the following:
  • Independently developing workflows and identifying new model applications for company-identified use-cases
  • Contributing to the development of product offerings and capabilities such as machine learning applications, data subscription packages, and inventive data visualizations
  • Serving as a technical resource within the data teams across Fraym, including software engineer, project managers, and technical analysts who are responsible for deploying new and improved methods at scale
  • Collaborating with data science team leadership to determine, drive, and pivot the data science team within the context of our organizational mission

You will have the following qualifications and skills:
  • Master’s Degree or PhD in a related field
  • At least 5 years of working in a data science context, including technical mentorship in a data science, or adjacent, industry

Essential skills:
  • Experience applying and experimenting with a variety of AI models and LLMs in a professional context
  • Working in the nitty gritty of Machine Learning modeling, particularly in validation and interpretation
  • Communicating methodology to non-technical audiences
  • Cloud computing environment (AWS)

Nice to have:
  • Experience with GIS/geostatistics and/or complex survey design
  • Knowledge management experience
  • Experience working with or in the defense sector

Application Requirements
  • Your resume
  • A short statement asking why you are interested in Fraym and this position
  • A work sample - Since we do not have a technical interview to evaluate code that you have produced, we would like to see your past work. A link to your Github or personal portfolio/website are acceptable.

Location
Fully remote within the USA, with travel once or twice a year for retreats and conferences.
Compensation & Benefits
Salary range: 119,000 - 160,000 USD; actual salary is commensurate with experience, and fit.
·           Annual performance bonus
·           Comprehensive medical, dental, and vision insurance (US)
·           401(k) program (US), flexible PTO, professional development opportunities
·           Remote-first culture with annual retreats
Hiring Process
1.         HR Screen (20 minutes)
2.         Introductory conversation with the Deputy Director of Data Science (45 minutes)
3.         Data Case – to be completed the week of final interview and presented to the team in Step 4. (1-2 hours)
4.         Data Case presentation & discussion with the Data Science team (60 minutes)
5.         Reference checks and offer
We prioritize diverse backgrounds and growth mindsets at Fraym. If you are curious about learning more or think you could be a good fit for our team and company mission, we would love to hear from you.
Fraym recruits, employs, trains, compensates and promotes regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, family status, veteran status, and other protected status as required by applicable law.
Interested? Please submit your application with a resume, a link to your work portfolio demonstrating your technical skill, and short statement answering “Why Fraym.”
 


Not sure you tick all the boxes? We encourage you to apply. We have a learning culture, and if this job description sounds exciting, we’d love to hear from you.


Fraym recruits, employs, trains, compensates, and promotes regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, family status, veteran status, and other protected status as required by applicable law.

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