Data Scientist - Junior

Eligibility for this position requires U.S. citizenship and an active U.S. Government security clearance at the TS/SCI level with an in‑scope CI poly. U.S. Export Control/ITAR laws may apply, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3). Responsibilities Work in tandem with analysts to figure out methods to solve their challenges with complex data sets, pattern identification, and visualizations. Perform research and implement forward‑looking analytic methodologies that leverage statistical techniques and pattern recognition. Assist analysts in developing structured approaches to predictive intelligence that increase timeliness and accuracy of assessments. Expand existing Natural Language Processing (NLP) to include new entities and improved visualization. Research and implement approaches that enhance analytical tradecraft (support critical thinking, mitigate biases, increase analytic rigor). Research and implement advanced analytic methodologies that enhance tradecraft, mitigate bias, and improve analytic efficiency. Support the automation of structured analytic methods and workflows to increase repeatability and scalability of intelligence production. Contribute to the development and integration of semantic technologies, including ontologies and knowledge graphs, to support OBI standards. Design and build visualizations and dashboards that communicate complex data insights to technical and non‑technical audiences. Evaluate and optimize analytic performance using qualitative and quantitative metrics. Minimum Qualifications U.S. citizen with an active TS/SCI clearance including CI poly. 3 years of experience and a related Bachelor’s degree. Demonstrated experience with Python, R, and SQL, including programmatic access to web services, data management, and visualization. Demonstrated experience with statistical analysis and data mining algorithms. Knowledge and experience with artificial intelligence (AI), advanced analytics, cloud architecture, and data storage. Preferred Qualifications Polished oral and written communication skills sufficient to compose, tailor, and deliver original presentations and papers on abstract concepts. Familiarity with graph databases or graph data structures. Ability to lead multi‑disciplinary teams to complete complex data science projects. Experience with AWS or similar cloud provider. Demonstrated experience in solving problems with structured and unstructured data. Experienced in applying statistical and data visualization skills. Strong problem‑solving skills to manipulate data and draw insights from large data sets. Proven ability to learn and master new software, technologies and techniques. Familiarity with generative AI and large language models (LLMs) and their strengths and weaknesses when applied to intelligence requirements. Experience in two or more of the following: Machine Learning, Natural Language Processing, Apache Spark, Hadoop, R, C++, SQL Database/Coding, or visualization tools such as Tableau. Pay Transparency The base pay for this position within the Washington, DC metropolitan area is: $90,000.00 - $120,000.00 - $132,000.00 annually. For all other states, pay ranges are developed based on geographic cost of labor and may vary by location. Benefits Vantor offers a competitive total rewards package that includes a robust 401(k) with company match, mental health resources, and unique perks such as student loan repayment assistance, adoption reimbursement, and pet insurance to support all aspects of your life. 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. #J-18808-Ljbffr