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Data Scientist/Data Engineer- MidCastalia Systems • Charlottesville, Virginia, United States
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Data Scientist/Data Engineer- Mid

Castalia Systems
  • US
    Charlottesville, Virginia, United States
  • US
    Charlottesville, Virginia, United States
Postuler Maintenant

À propos

Career Opportunities with Castalia Systems A great place to work.
Current job opportunities are posted here as they become available.
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
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+
Preferred Qualifications
12+ years of experience in Extract, Transform, and Load (ETL) processes
7+ years of experience designing, developing, operationalizing, and maintaining complex data applications
7+ years of experience with raw coding of Python or Java, PostgreSQL or similar databases
7+ years of experience developing code for data manipulation, data analysis, or data modeling
3+ years of experience with AI and ML implementation and development
Experience with DevSecOps tools, including GitHub
Experience working within the Intel Community
Experience with a cloud environment, including AWS, Microsoft Azure, or Google Cloud
Experience with Streamlit, Tkinter
Experience with Agile software development
Normal office environment.
Travel Minimal travel.
Company Description Castalia Systems is a proven business partner providing mission critical solutions to the Federal Government. We provide cutting edge solutions from Securing and Managing Data to Systems Engineering and Development. Castalia Systems is a pioneer in Artificial Intelligence Design and Application.
With our vast knowledge of our customers’ needs and relevant technology, our team is able to bring successful solutions to every mission. We are one-upping our competitors by providing premium IT solutions and platforms with cutting-edge technology so it’s so evident when you compare us with anyone.
Disclaimer Castalia Systems is an equal employment opportunity and affirmative action employer and strives to comply with all applicable laws prohibiting discrimination based on race, color, creed, sex, sexual orientation, age, national origin or ancestry, physical or mental disability, veteran status, marital status, HIV-positive status, as well as any other category protected by federal, state, or local laws. All such discrimination is unlawful, and all persons involved in the operations of the company are prohibited from engaging in this type of conduct.
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  • Charlottesville, Virginia, United States

Compétences linguistiques

  • English
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