Geospatial Data Scientist Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what's happening now and shape what's coming next. Vantor is a place for problem solvers, changemakers, and go-getters-where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world. To be eligible for this position, you must be a U.S. Citizen. This position requires an active U.S. Government Security Clearance at the TS/SCI level with required polygraph. Our team has an immediate need for an experienced Geospatial Data Scientist to join our team at a customer-site in McLean, VA. The candidate will support gathering project requirements from the customer and implementing data-driven solutions.
Responsibilities:- Use Python scripting and AWS services to automate geospatial data ingestion, transformation, and analysis
- Apply geospatial data science techniques to identify patterns, trends, and mission-relevant insights
- Create maps, visualizations, and analytic products for technical and non-technical audiences
- Maintain high-quality, repeatable data workflows, ensuring data integrity, documentation, and performance
Minimum Qualifications:- Bachelor's degree with 3+ years of relevant experience, or Master's degree with 1+ year of relevant experience
- Strong experience using Python for geospatial data transformation, automation, and analysis
- Strong experience working with geospatial data in thick-client GIS software (e.g., ArcGIS)
- Experience with PostgreSQL/PostGIS, AWS services, and Linux-based environmentsU.S. citizenship and Active TS/SCI with required polygraph
- Willingness to work on-site full time
Preferred Qualifications:- Experience working with Python notebooks (e.g., Jupyter) for exploratory and reproducible analysis
- Experience integrating and consuming data via REST APIsExperience with R, Tableau, or similar analytical and visualization tools
- Experience with Apache NiFi or comparable data workflow/orchestration tools
- Familiarity with Git for versioning scripts and analytic artifacts
Pay Transparency:
In support of pay transparency at Vantor, we disclose salary ranges on all U.S. job postings. The successful candidate's starting pay will fall within the salary range provided below and is determined based on job-related factors, including, but not limited to, the experience, qualifications, knowledge, skills, geographic work location, and market conditions. Candidates with the minimum necessary experience, qualifications, knowledge, and skillsets for the position should not expect to receive the upper end of the pay range. The base pay for this position within the Washington, DC metropolitan area is: $113,000.00 - $188,000.00 annually. For all other states, we use geographic cost of labor as an input to develop market-driven ranges for our roles, and as such, each location where we hire may have a different range.
Benefits:
Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: https://www.Vantor.com/careersThe application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire. EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.
