Geospatial Analyst
Reston, VA · On-site +1
Jupyter Notebooks, Google Colab, or R Studio * Basic programming experience in Python, JavaScript, or SQL * Excellent written and verbal communication skills and comfort working in a team-based ...
Geospatial Analyst
Reston, VA · On-site +1
Jupyter Notebooks, Google Colab, or R Studio * Basic programming experience in Python, JavaScript, or SQL * Excellent written and verbal communication skills and comfort working in a team-based ...
Staff Accountant
Rockville, MD · On-site
$56K - $73K/yr
Experience with automated reconciliation tools or data analytics (e.g., Google Colab, Apps Script)
Staff Accountant
Rockville, MD · On-site
$56K - $73K/yr
Experience with automated reconciliation tools or data analytics (e.g., Google Colab, Apps Script)
Staff Accountant with Security Clearance
$60K - $90K/yr
Experience with automated reconciliation tools or data analytics (e.g., Google Colab, Apps Script) Salary at Seneca is based on a variety of factors including but not limited to location, experience ...
Staff Accountant with Security Clearance
$60K - $90K/yr
Experience with automated reconciliation tools or data analytics (e.g., Google Colab, Apps Script) Salary at Seneca is based on a variety of factors including but not limited to location, experience ...
Staff Accountant
Rockville, MD · On-site
$60K - $90K/yr
Experience with automated reconciliation tools or data analytics (e.g., Google Colab, Apps Script) Salary at Seneca is based on a variety of factors including but not limited to location, experience ...
Quick apply
Staff Accountant
Rockville, MD · On-site
$60K - $90K/yr
Experience with automated reconciliation tools or data analytics (e.g., Google Colab, Apps Script) Salary at Seneca is based on a variety of factors including but not limited to location, experience ...
Evaluation technique en Python et en apprentissage automatique (Machine Learning), realisee sans assistance d'un modele massif de langage (LLM) - deux notebooks Colab, d'environ 45 minutes chacun
Evaluation technique en Python et en apprentissage automatique (Machine Learning), realisee sans assistance d'un modele massif de langage (LLM) - deux notebooks Colab, d'environ 45 minutes chacun
Staff Accountant
Rockville, MD · On-site
$60K - $90K/yr
Experience with automated reconciliation tools or data analytics (e.g., Google Colab, Apps Script) Salary at Seneca is based on a variety of factors including but not limited to location, experience ...
Staff Accountant
Rockville, MD · On-site
$60K - $90K/yr
Experience with automated reconciliation tools or data analytics (e.g., Google Colab, Apps Script) Salary at Seneca is based on a variety of factors including but not limited to location, experience ...
Colab information
See Washington salary details
$39.1K - $49.1K
15% of jobs
$55.6K is the 25th percentile. Wages below this are outliers.
$49.1K - $59K
16% of jobs
$59K - $69K
13% of jobs
$69K - $79K
2% of jobs
The median wage is $88K / yr.
$79K - $89K
5% of jobs
$89K - $99K
18% of jobs
$99K - $109K
5% of jobs
$110.8K is the 75th percentile. Wages above this are outliers.
$109K - $119K
7% of jobs
$119K - $129K
14% of jobs
$129K - $138.9K
2% of jobs
$138.9K - $148.9K
3% of jobs
$39.1K
$88.5K
$148.9K
How much do colab jobs pay per year?
As of Jun 17, 2026, the average yearly pay for colab in Washington is $88,542.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,200.00 and $113,300.00 per year, depending on experience, location, and employer.
What is the difference between Colab vs Data Analyst?
| Aspect | Colab | Data Analyst |
|---|---|---|
| Required Credentials | No formal degree required; knowledge of Python and data tools | Bachelor's degree in data science, statistics, or related field |
| Work Environment | Online, cloud-based platform for coding and collaboration | Office or remote, analyzing data sets, creating reports |
| Employer & Industry Usage | Used by data scientists, students, researchers for coding and experimentation | Employed by businesses across industries to interpret data and inform decisions |
Colab is a cloud-based platform primarily used for coding and collaboration in data science projects, often by students and researchers. Data Analysts typically have formal education and work in environments focused on analyzing data to generate insights. While Colab is a tool used by Data Analysts, the roles differ in scope and credentials.
How does a Colab (Collaborations) Specialist typically interact with other departments to ensure successful project outcomes?
A Colab Specialist often acts as a bridge between multiple departments, such as marketing, product development, and external partners. They coordinate meetings, manage communication flows, and ensure that all stakeholders are aligned with project goals and timelines. This role requires excellent interpersonal skills and the ability to navigate differing priorities, as well as a proactive approach to problem-solving. Regular collaboration and updates are essential, making teamwork and adaptability key aspects of the job.
What are the key skills and qualifications needed to thrive as a Colab (Collaborative Platform) Specialist, and why are they important?
To thrive as a Colab Specialist, you need expertise in collaborative tools (such as Google Colab), proficiency in Python programming, and a strong background in data analysis or machine learning, often supported by a relevant degree. Familiarity with version control systems like Git, cloud computing environments, and commonly used libraries (e.g., NumPy, pandas) is essential. Excellent problem-solving, communication, and teamwork skills help facilitate effective collaboration and project management across distributed teams. These skills are crucial for enabling seamless workflow integration, efficient troubleshooting, and productive teamwork in data-driven environments.
What are Colab jobs?
Colab jobs typically refer to roles involving the use of Google Colaboratory (Colab), a cloud-based platform for coding and data analysis, mainly in Python. Professionals in these roles often work on machine learning, data science, or research projects, leveraging Colab's capabilities to collaborate with others, run computations, and share results in real time. These jobs may require familiarity with Python, Jupyter notebooks, and cloud computing tools. Colab jobs are popular in academia, research, and industry settings where collaborative data analysis is essential.
What are popular job titles related to Colab jobs in Washington? For Colab jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Colab jobs in Washington look for? The top searched job categories for Colab jobs in Washington are:
Other
Posted 24 days ago
Job description
ASRC Federal Data Networx LLC is seeking a full-time Geospatial Analyst to join our DC-based team and provide agricultural and natural resource analysis support for our government customers. The successful candidate will play a central role in analyzing agricultural and natural resource data, producing actionable insights, and supporting programs that track global crop conditions and food supply. We’re looking for someone who combines strong technical skills with curiosity, adaptability, and a collaborative mindset.
Work Location: Hybrid in DC
Key Role Responsibilities:
- Collect, clean, and analyze datasets such as satellite imagery, weather data, agricultural surveys, and field observations
- Apply advanced remote sensing methods and GIS technologies to support crop production mapping and natural resource modeling
- Use machine learning approaches for remote sensing and agricultural analytics
- Produce maps, visualizations, and technical reports—often on tight, recurring deadlines
- Present findings, support stakeholder engagement, and deliver technical training when needed
- Stay current on geospatial technologies, industry trends, and analytical methods
Basic Qualifications:
- Minimum of 2-4 years’ experience in in geography, GIS, or remote sensing with substantive coursework in geospatial analysis and modeling.
- Bachelor’s degree in geography, GIS, remote sensing, environmental/natural sciences, or related field plus at least 2 years of relevant experience. A degree in another discipline plus at least 3 years of experience in geography, GIS, or remote sensing with substantive coursework in geospatial analysis and modeling.
- 6+ years related experience in geospatial analysis and modeling in the absence of a degree.
- Strong foundation in remote sensing and geospatial workflows (vector and raster analysis, modeling, land cover mapping).
- Proficiency with geospatial tools such as:
- ArcGIS Pro
- Google Earth Engine
- Jupyter Notebooks, Google Colab, or R Studio
- Basic programming experience in Python, JavaScript, or SQL
- Excellent written and verbal communication skills and comfort working in a team-based environment