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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** Acclaim Technical Services - **Location:** Anne Arundel County, MD, United States - **Salary:** $180,000.0 - $200,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Big Data, Computer Programming, Data Cleansing, Data Mining, Data Structures, Statistical Hypothesis Testing, Python (Programming Language), Machine Learning, Software Engineering, Data Processing, Apache Spark, Jupyter, Information Technology, Data Management - **Published:** August 1, 2026 - **Apply:** https://www.dice.com/job-detail/10918a72-b91a-4192-b74c-2c2212aef8d1 ## About the Role * Bachelor's Degree with 10 years of relevant experience, associate's degree with 12 years of experience may be considered for individuals with in-depth experience that is clearly related to the position. * Bachelor'sDegree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming, data structures, data mining, artificial intelligence). * Broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university. * Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least on high level language (e.g. Python), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering. ## Description In this role, you will support the understanding, identification, and mapping of large-scale datasets. You will integrate AI techniques to help develop and deliver cybersecurity policy to mission partners and document and assess metrics to help leadership make informed decisions. Experience with Python, Jupyter, Spark, data curation and visualizations/dashboards, and understanding of generative AI techniques strongly preferred. The Data Scientist shall possess the following capabilities: * Foundations: (Mathematical, Computational, Statistical). * Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility). * Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations). * Ability to make and communicate principal conclusions from data using elements of mathematics, statistics, computer science, and applications-specific knowledge. * Ability to use analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in Government data holdings. * Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data. * Effectively communicate complex technical information to non-technical audiences. ## Related Videos - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [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 dev is fun, but setup and ops isn't! 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