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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** JTEC Consulting - **Location:** McLean, VA, United States - **Experience:** Expert - **Salary:** $160,000.0 - $220,000.0 - **Contract:** Permanent contract - **Skills:** Data Analysis, Big Data, Cloud Computing, Databases, Information Engineering, Extract Transform Load (ETL), Data Mining, Data Visualization, DevOps, Apache Hadoop, Python (Programming Language), Machine Learning, Open Source Technology, Simple Data Format, Software Engineering, Unstructured Data, Data Strategy, Data Analytics, Software Coding - **Published:** July 17, 2026 - **Apply:** https://www.dice.com/job-detail/6a454d7a-6a79-4653-8e84-bfcfa2b6733a ## About the Role * Bachelor's degree in data analytics, data science, statistics, operational research, or related discipline * 5+ years of relevant experience supporting a related IC data analytics environment * Experience using open-source tools, cloud computing, machine learning and data visualization * Hands-on coding experience (varies by task) including Apache Hadoop, and Python * Experience in a data analytics environment, and the use of open-source tools, cloud computing, machine learning and data visualization * Advanced knowledge of machine learning * Effective written and verbal communication skills to work in a dynamic team environment. ## Description JTEC Consulting is seeking data science and data analytics professionals to work in support of ongoing hiring needs for an Intelligence Community organization in the Northern Virginia area. Positions are supporting varied task order activities including ETL, data engineering, data strategy and architecture, data analytics, and data-focused software engineering for DevOps environments. Qualified candidates will have experience supporting an IC customer in a data analytics environment using open-source tools, cloud computing, machine learning and data visualization. Current security clearance credentials are required for consideration. Disclaimer: This position is advertised to support ongoing hiring needs on multiple programs. The position description and the duties and qualifications outlined below are intended to describe the overall nature of the work and essential responsibilities. Due to the nature of this position a fuller description of the job responsibilities and preferred skills will be provided at the time of interview. General duties and responsibilities vary by role and may include: * Work as part of a blended team of government and contractor personnel including data scientists, data engineers, and analysts * Support a range of activities and hands-on support for structured and unstructured data * Support advanced data problems and data modeling * Support data interpretation and results from multiple sources using a variety of techniques including simple data aggregation and statistical analysis up to an including complex data mining * Support data-centric solutions through database support, big data analysis, and implementation of data models * Apply industry and technical knowledge to support advanced and complex projects, as requested General education and qualification guidelines include: * U.S. citizenship * Current TS/SCI security clearance with polygraph * Local to Wash DC Metro area and available to support on-site work 5 days/week (Northern Virginia locations) ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Data Science, ML & AI in the Oil and Gas Industry at NDT Global - Dr. Katja Träumner](https://www.wearedevelopers.com/videos/1308-data-science-ml-ai-in-the-oil-and-gas-industry-at-ndt-global-dr-katja-traumner) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How Many Jobs Are Available in Technology?](https://www.wearedevelopers.com/magazine/450-how-many-jobs-are-available-in-technology) - [A Guide to Green Tech and Green IT Careers](https://www.wearedevelopers.com/magazine/374-a-guide-to-green-tech-and-green-it-careers) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again)