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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Data Scientist - **Company:** MITRE Corporation - **Location:** McLean, VA, United States - **Experience:** Expert - **Salary:** $155,200.0 - $194,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Airflow, Data Analysis, Big Data, C++ (Programming Language), Cloud Computing, Computer Programming, Databases, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Security, Data Systems, Linux, Distributed Computing Environment, R (Programming Language), Apache Hadoop, Python (Programming Language), MATLAB, Machine Learning, Modular Design, Natural Language Processing, Scala (Programming Language), Software Construction, Software Engineering, SQL Databases, Data Streaming, Reinforcement Learning, Rust (Programming Language), Cloud Platform System, Large Language Models, Apache Spark, Deep Learning, Model Validation, Julia, Topic Modeling, Git, Storage Technologies, Information Technology, Data Analytics, Dask, Apache Kafka, Apache Nifi, Machine Learning Operations, Software Version Control, Data Pipelines - **Published:** July 2, 2026 - **Apply:** https://www.juju.com/job/00000000gd7beg ## About the Role The successful candidate for this position is a hybrid Data Scientist and Data Engineer who combines strong foundations in computer science, mathematics, and software engineering with hands-on experience designing data systems and applying advanced analytics, machine learning, and AI techniques to solve mission problems. This role requires practitioners who can operate across the full data lifecycle from data modeling, processing, and infrastructure engineering to statistical analysis, machine learning, experimentation, and operational deployment. Our organization values innovation and believes that keeping up with the latest research and technologies is essential. The candidate should have hands-on experience in several of the areas specified below, however it is not required that a candidate has experience in all of these areas. Advanced Data Analytics and Artificial Intelligence + Machine Learning and Model Evaluation (e.g., supervised, unsupervised, deep learning, reinforcement learning) + Statistical Analysis and Exploratory Data Analysis (e.g., descriptive statistics, regression, visualization) + Large Language Models and AI-Assisted Workflows + Natural Language Processing (e.g., summarization, classification, entity recognition, topic modeling) + Anomaly Detection and Predictive Modeling + Graph Analytics (e.g. centrality, similarity, link prediction) Data Engineering + Distributed Data Processing and Big Data Architectures (e.g., Spark, Hadoop, Ray, Dask, Kafka) + Data Pipeline/ETL Development and Orchestration (e.g., Airflow, Dagster, NiFi) + Batch and Streaming Data Processing + Data Modeling, Schema Design, and Data Quality Assessment + Data Governance, Access Controls, and Secure Data Handling + Cloud-based Data Platforms and Storage Architectures Software Development and MLOps + Computer Programming and Databases - Proficiency in Python and SQL required + Software Engineering Best Practices (e.g., version control, testing, modular design), + Bachelor's degree in Computer Science, Applied Mathematics, Statistics, Data Science, or related field with 8 years of relevant experience. + Hands-on proficiency with advanced Data Science techniques, including Machine Learning (e.g., supervised, unsupervised, deep learning, reinforcement learning), anomaly detection, statistical analysis, and/or analysis of very large datasets. + Computer programming skills (e.g., Python, R, C/C++, Java, Scala, Julia, Rust, MATLAB). + The ability to obtain and maintain a DoD Top Secret clearance within 12 months of hire. + Per the U.S. Government's eligibility requirements, you must be a U.S Citizen to be considered for a security clearance. + This position requires a minimum of 50% hybrid on-site Preferred Qualifications: + Master's degree in Computer Science, Applied Mathematics, Statistics, Data Science, or related field with 6 years of relevant experience; PhD in Computer Science, Applied Mathematics, Statistics, Data Science, or related field with 3 years of relevant experience. + Active DoD Top Secret Clearance. ## Description + MLOps and Model Operationalization (e.g., model deployment, monitoring, reproducibility, containerization) + Linux-based Development Environments, Git, Containers, and Cloud Platforms Expectations for this position are as follows: + Leads functional teams or complex projects with moderate resource requirements, risks, or complexities; Develops strategies and objectives and leads others to execute them. + Works independently, with guidance needed only in highly complex situations. + Identifies and leads others to solve complex problems; Uses sophisticated analytical thought to exercise judgement and identify innovative applications; May develop and recommend solutions to novel or atypical problems within the Data Science and Data Engineering disciplines. + Applies extensive in-depth conceptual, practical, and technical knowledge within the Data Science and Data Engineering disciplines and transfers that knowledge to others. + Communicates complex concepts clearly and simply and persuades others to adopt a different point of view. ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Building and Modernising Apps with Agentic AI - Julia Kordick](https://www.wearedevelopers.com/videos/1832-building-and-modernising-apps-with-agentic-ai-julia-kordick) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Training Bots on Deliveroo Data, Alexa Can Swear and Mushroom Electronics - Julia Kordick](https://www.wearedevelopers.com/videos/1839-training-bots-on-deliveroo-data-alexa-can-swear-and-mushroom-electronics-julia-kordick) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [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) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)