Hiring: Mid-Level Data Scientist Company: Vantor Location: Reston, VA Job Posted Time: 2026-09-10 12:00:00 Employment Type: Full-time Target Skills & Keywords : AWS, Agile, Azure, Data Pipeline, Databricks, Docker, ETL, Enterprise Architecture, GCP, Hadoop, Kubernetes, LLM, NLP, Pandas, PySpark, Python, Rancher, SQL, Security Clearance, Spark About the job Experience: •5 years of professional experience in data science, analytics, or data engineering roles. Required Skills: •This position is full time onsite in Reston, VA. •Partner cross-functionally with senior data scientists to prepare, clean, and process structured and unstructured datasets for analysis. •Automate ETL workflows and streamline repetitive data preparation tasks using Python, SQL, and scripting tools. •Operate in big data ecosystems using tools such as Spark, Hadoop, or their cloud-native equivalents (e.g., AWS Glue, Azure Synapse, Databricks). •Assist in the development and deployment of data pipelines in collaboration with data engineering and DevOps teams. •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. Qualifications: •Current/active TS/SCI security clearance and be willing and able to obtain 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. •Proficiency in Python and SQL; familiarity with R is a plus. •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. •Master’s degree in a technical field (e.g., Data Science, Computer Science, Engineering). •Operational 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. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!