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Altamira Technologies seeks a Junior Data Scientist in Fort Bragg, NC to design, implement, and maintain data pipelines, and lead ML projects using cloud-native platforms. The role requires interpreting complex datasets, applying advanced methods, and communicating results to stakeholders.
The candidate will collaborate with data engineers, leverage tools like Spark, Hadoop, Python, and R, and contribute to data mining, NLP, and forecasting initiatives in a defense and national security context.
Altamira Technologies has a long and successful history providing innovative solutions throughout the U.S. National Security community.Headquartered in McLean, Virginia, Altamira serves the defense, intelligence and homeland security communities worldwide by focusing on creating innovative solutions leveraging common standards in architecture, data and security.Altamira believes that our people and the culture of our company differentiate us from other companies.
Position:Junior Data Scientist
Position Location:Fort Bragg, North Carolina
Position Description: A data scientist will have skills sets of both data analysts and data engineers. Data scientists are responsible for designing, implementing, and maintaining a data pipeline.In addition, data scientists shall interpret and analyze complex sets of data, as well as plan, execute, and manage ML projects with cloud-native platforms and advanced ML solutions. They understand some of the most challenging processes, technologies, and can leverage a vast array of methodologies in the field, such as data mining, natural language programming, and machine learning.
Data scientists must have a combination of skills that include programming, mathematical modeling, statistics, and domain knowledge. They must combine an advanced math and statistics background with programming, domain knowledge, and communication skills to analyze data, create applied mathematical models, and present results in a form useful to the organization.They must also be able to understand and manipulate structured and unstructured large data sets, which requires proficiency in distributed SQL programming, relational and non-relational data queries, general programming languages (such as Python and R,) and machine learning techniques.