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Job Description
Job Requirements Charlottesville, VA Top Secret/SCI CI Polygraph Mid Level Career (5+ yrs experience) Salary not specified Join Premium to unlock estimated salaries Job Description Career Opportunities with Castalia Systems A great place to work. Careers At Castalia Systems Current job opportunities are posted here as they become available.
Back To Openings Data Scientist/Data Engineer- Mid Location:
Charlottesville, VA
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Job Type:
Full Time Workplace Type:
Onsite in
Charlottesville, VA Clearance:
TS/SCI with a CI polygraph Must be a U.S.
Citizen Benefits:
Medical, dental, and vision coverage, 401k matching, generous PTO, paid holidays, professional training opportunities, and even pet insurance to ensure your furry friends are cared for too. Job Summary Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever before. As a Data Scientist/Data Engineer, you know that organizing data can yield pivotal insights when it's gathered from disparate sources. We need an experienced data professional like you to help our clients find answers in their data to impact important missions—from fraud detection to cancer research to national intelligence. As a Data Scientist/Data Engineer at Castalia Systems, you'll use your expertise to help build advanced technology solutions and lead data engineering activities on some of the most mission-driven projects in the industry. You'll guide data engineering activities by overseeing the development and deployment of pipelines and platforms that organize and make disparate data meaningful. Here, you'll mentor a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You'll use your expertise in analytical exploration and data examination while you oversee the assessment, design, building, and maintenance of scalable platforms for your clients. Roles and Responsibilities This role encompasses both Data Science and Data Engineering disciplines. It requires raw coding experience without AI assisted IDEs. A qualified candidate will perform the following duties and responsibilities, but are not limited to: Creating various ML-based tools or processes such as recommendation engines or automated lead scoring systems. Performs statistical analysis, applies data mining techniques, and builds high quality prediction systems. Should be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and Python; managing and margining of disparate data sources, preferably through Python, or SQL; statistical analysis; and data mining algorithms. Should have prior experience with large data Multi-INT analytics, ML, and automated predicative analytics. Conducts data analytics, data engineering, data mining, exploratory analysis, predicative analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written, visual and verbal narrative products, enabling more informed analytic decisions. Proactively retrieves information from various sources, analyzes it for better understanding about the data set, and builds AI tools that automate certain processes.
Required Qualifications:
Bachelor's degree or equivalent experience 3+ years of experience designing, developing, operating, and maintaining complex data applications 3+ years of experience with raw coding of Python or Java, PostgreSQL or similar databases 3+ years of experience developing code for data manipulation, data analysis, or data modeling Experience creating and integrating code for retrieving, parsing, and processing data across multiple systems or applications Experience developing scripts and programs for converting various types of data into usable formats and supporting project teams to scale, monitor, and operate data platforms in support of specific mission goals Experience in the development of algorithms leveraging Python and SQL Experience with Python data science and visualization packages Experience with leading the development of solutions to complex problems Experience working within a TS environment with onsite development tools Experience with database administration or data analytics Experience with structured and unstructured data CompTIA Security+
