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, applicants who do not currently hold the required clearance will not be eligible for consideration. Employment for cleared roles is contingent upon verification of clearance status. Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3). Please review the job details below. This position requires an active U.S. Government Security Clearance at the TS/SCI level with CI Polygraph. Project: We're supporting a well-established customer that works on a critical and high-visibility mission. The team is tremendously talented and we need to add a data analyst with a strong foundation in MASINT analytical development for a growing number of customer requirements. Previous experience working on-site to support the DoD and the intelligence community is highly desirable. Responsibilities: In this role you will be part of a critical Intelligence Community (IC) MASINT mission providing a multi-faceted team with subject matter expertise in data analytics. You will collaborate with senior data scientists to prepare, clean, and process structured and unstructured datasets for analysis. Working closely with counterparts across the IC and DIE, you will communicate analytical findings, assumptions, limitations, and recommendations to technical and nontechnical audiences. In addition, other responsibilities include: • Use Python, SQL, and scripting tools to automate routine data-preparation, data-quality, and reporting tasks. • Query, integrate, and analyze data from relational databases, approved APIs, flat files, and enterprise data platforms. • Support data-pipeline requirements by documenting source-data issues, business rules, transformations, and validation needs for data engineering teams. • Identify data-quality issues, inconsistencies, and gaps, and coordinate with appropriate technical teams to resolve them. • Assist in the development and deployment of data pipelines in collaboration with data engineering and DevOps teams. • Assist with data tagging, metadata capture, and dataset curation for knowledge-management and LLM-enabled workflows. • Implement basic statistical analyses, visualizations, and reporting to support exploratory data analysis and hypothesis validation. • Maintain detailed documentation of data preparation methods, scripts, and pipeline configurations. • Support integration of data into downstream modeling and LLM/NLP workflows. • Gain exposure to knowledge management systems supported by LLMs and assist in tagging or curating training datasets for LLM models. • Develop recurring reports, ad hoc analyses, and data visualizations that support operational and leadership decision-making. • Communicate analytical findings, assumptions, limitations, and recommendations to technical and nontechnical audiences. Minimum Qualifications: • Must have active TS/SCI security clearance with CI Polygraph. • Bachelor’s degree in data science, computer science, engineering, statistics, GIS, or related discipline. Degree may be substituted with an additional 2 yrs of experience. • 3 years of professional experience in data analytics or data engineering roles. • Proficiency in Python and SQL. • Experience with data wrangling libraries (e.g., pandas, PySpark) and working with APIs or batch processing tools. • Experience working with SQL and relational databases. • Understanding of data modeling, metadata management, and data governance principles. • Proficient with Tableau or similar dashboard tools. • Exposure to cloud platforms such as AWS, Azure, or GCP, especially in data-related services. • Strong attention to detail and documentation practices. • Ability to translate stakeholder questions into clear analytical requirements, metrics, reports, and visualizations. • Ability to communicate findings effectively through written products, dashboards, briefings, and data visualizations. Preferred Qualifications: • Master’s degree in a technical field (e.g., Data Science, Computer Science, Engineering). • Experience working with MASINT and TECHINT data. • Experience using Clairvoyant or similar orchestration platforms to manage and monitor data pipelines. • Familiarity with container orchestration tools like Docker, Rancher, or Kubernetes. • Basic knowledge of LLM and NLP concepts, including using pre-trained models for simple tasks like summarization or keyword extraction. • Basic familiarity with GIS tools and data • Experience with graph data science algorithms and graph analytics. • Knowledge of enterprise architecture, metadata standards, or master data management. • Experience working in agile teams or cross-functional technical environments. • Understanding of responsible AI practices and basic data ethics. Pay Transparency: To support pay transparency, Vantor includes salary ranges in all U.S. job postings. Starting pay for this role will fall within the listed range and will be based on factors such as experience, qualifications, skills, location, and market conditions. Candidates who meet the minimum requirements for the role should not expect to receive compensation at the top of the range. The listed range reflects the expected pay for this position, and final offers will be determined based on each candidate’s experience, expertise, and alignment with the role. ● The base pa