Pay
In line with similar jobs
$90K–$125K against $94.4K–$145K, the middle half of what similar US postings state.
From 2,036 postings in the last year. Stated ranges, not salaries paid.
Data Scientist
Reads like an Analyst role: dashboards and reporting.
Washington, DC
Live, first seen by us 61 days ago- Pay
$90,000–125,000/yearAnnual period assumed — pay source
Planet Technologies does not discriminate in employment opportunities, terms and conditions of employment, or practices. All qualified applicants will receive consideration for employment without regard to race, age, gender, religious or political beliefs, national origin or heritage, disability, sexual orientation, protected veteran status, or any characteristic protected by law. Federal Agency Clearance Requirements may require up to a 10-year background investigation - US Citizenship (clearable) is required. Salaries for Data Scientist, Mid at Planet Technologies range from $90,000 and $125,000. Several factors will impact final pay offered to a successful candidate including but not limited to the type and years of experience within the job, clearance level, the type of years and experience within the industry, education, training, etc. Visit www.go-planet.com to learn more about us. Details about our benefits can be found here Planet Technologies 2026-2027 Recruitment Guide
Read the full posting- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type Full-Time
Employment type in the employer’s posting: Full-Time
From the employer’s posting
Before you apply
- Work authorization
- Citizens only
An active Top-Secret level clearance is required
What you’ll work on
Full postingBuild and maintain dashboards, applications, and automations
Connect to APIs and data sources for ETL, including manual transfers
Build predictive risk models using statistical analysis
Apply AI/ML to extract insights from unstructured documentation
Run full data calls, including normalization and visualization
From the employer’s posting
Builds, maintains, and improves dashboards, applications, and automations.
Connects to APIs, system-to-system connections, and manual data transfers for ETL.
Builds predictive risk models using statistical analysis.
Applies AI/ML to extract insights from unstructured documentation.
Develops and carries out full-service data calls, including data normalization and visualization.
What you’ll bring
All qualificationsCore experience
- 5 years of work experience
- Strong proficiency with Power Platform, SharePoint, and InfoPath
- Experience creating and managing reporting in Power BI
- Understanding of machine learning techniques and algorithms
- Active Top-Secret clearance and US citizenship
Preferred experience
- Experience connecting to federal system data
Qualification wording
Must have 5 years of work experience
Strong proficiency with Power Platform, SharePoint, and InfoPath required.
Experience creating and managing reporting in Power BI
Excellent understanding of machine learning techniques and algorithms.
An active Top-Secret level clearance is required
Previous experience connecting to and manipulating data from federal systems preferred.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 13, 202661 days ago
- Recorded sightings
- 39
- Last seen by us
- Nov 13, 2026
- Employer says posted
- Sep 9, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 61
Up longer than most. Similar jobs usually come down between day 5 and day 43.
From 14,545 similar postings that came down. Coming down is not always a hire.
Planettechnologies is hiring
3 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Takes jobs down quickly
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- MATLAB
- Python
- R
- SQL
- Power BI
- NumPy
Where the posting names them
- Excellent understanding of machine learning techniques and algorithms. - Experience with common data science toolkits (R, Weka, NumPy, MATLAB, etc.) and BI tools (Power BI, Anaconda, SPSS). - Previous experience connecting to and manipulating data from federal systems preferred.
- Develops user guides and documentation using Power BI - Incorporates data science tools (SQL, R, Python, etc.) into services. Qualifications
- Researches and recommends business data storage/integration solutions. - Develops user guides and documentation using Power BI - Incorporates data science tools (SQL, R, Python, etc.) into services.
- Strong proficiency with Power Platform, SharePoint, and InfoPath required. - Experience creating and managing reporting in Power BI - Excellent understanding of machine learning techniques and algorithms.
Your next step
Complete your application on jobs.lever.co. The employer’s form will show what is required.
Applying through Lever
- No account needed: one form, and Lever reads your resume into the profile recruiters search.
Already applied? Track this application
Demand for Analyst roles
New Analyst postings at the employers we follow are up 23% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
Job description
Planet Technologies, the Nation’s leading Microsoft services provider to the public sector, is looking for a highly motivated individual to join our growing team as Data Scientist. In this role, you will be supporting impactful projects that make a difference for our country.
Responsibilities
- Builds, maintains, and improves dashboards, applications, and automations.
- Connects to APIs, system-to-system connections, and manual data transfers for ETL.
- Builds predictive risk models using statistical analysis.
- Applies AI/ML to extract insights from unstructured documentation.
- Develops and carries out full-service data calls, including data normalization and visualization.
- Creates business intelligence analysis and visualizations for management.
- Improves methodologies and tools for risk assessment.
- Researches and recommends business data storage/integration solutions.
- Develops user guides and documentation using Power BI
- Incorporates data science tools (SQL, R, Python, etc.) into services.
Qualifications
- Must have 5 years of work experience
- Strong proficiency with Power Platform, SharePoint, and InfoPath required.
- Experience creating and managing reporting in Power BI
- Excellent understanding of machine learning techniques and algorithms.
- Experience with common data science toolkits (R, Weka, NumPy, MATLAB, etc.) and BI tools (Power BI, Anaconda, SPSS).
- Previous experience connecting to and manipulating data from federal systems preferred.
- Ability to work on site 5 days per week
- An active Top-Secret level clearance is required
- #CJ
Planet Technologies is the leading provider of Microsoft Consulting Services to public sector and commercial organizations. Planet has significant experience in deploying business intelligence, cloud services, unified communications, and systems management with an emphasis building, deploying, and managing custom solutions that transform the business operations of federal government agencies.
Planet Technologies does not discriminate in employment opportunities, terms and conditions of employment, or practices. All qualified applicants will receive consideration for employment without regard to race, age, gender, religious or political beliefs, national origin or heritage, disability, sexual orientation, protected veteran status, or any characteristic protected by law. Federal Agency Clearance Requirements may require up to a 10-year background investigation - US Citizenship (clearable) is required.
Salaries for Data Scientist, Mid at Planet Technologies range from $90,000 and $125,000. Several factors will impact final pay offered to a successful candidate including but not limited to the type and years of experience within the job, clearance level, the type of years and experience within the industry, education, training, etc.
Employment type
Full-Time
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Planet Technologies does not discriminate in employment opportunities, terms and conditions of employment, or practices. All qualified applicants will receive consideration for employment without regard to race, age, gender, religious or political beliefs, national origin or heritage, disability, sexual orientation, protected veteran status, or any characteristic protected by law. Federal Agency Clearance Requirements may require up to a 10-year background investigation - US Citizenship (clearable) is required. Salaries for Data Scientist, Mid at Planet Technologies range from $90,000 and $125,000. Several factors will impact final pay offered to a successful candidate including but not limited to the type and years of experience within the job, clearance level, the type of years and experience within the industry, education, training, etc. Visit www.go-planet.com to learn more about us. Details about our benefits can be found here Planet Technologies 2026-2027 Recruitment Guide
- Location & working pattern
Washington, DC
- Previous experience connecting to and manipulating data from federal systems preferred. - Ability to work on site 5 days per week - An active Top-Secret level clearance is required
- Work authorization
This passage needs a closer read in the full description.