Data Scientist 2

Description

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.

Looking for Data Scientists to join our team. In this role you will get to support key activities in defense of emerging threats in the cybersecurity domain. You will work directly with our software engineering and threat analyst teams to model complex data in an environment comprised of many databases and varying technology stacks.

• Must have a bachelor’s degree (BS) in a quotative discipline (e.g. statistics, mathematics, operations research, engineering or computer science) from an accredited college/university.
• Minimum of five (5) years of experience in two (2) or more of the following: designing/implementing machine learning, data mining, advanced analytical algorithms, advanced statistical analysis, artificial intelligence, or software engineering with data analysis software (i.e. R, Python, SAS, MATLAB).
• Independently creating mission specific and tailored tradecraft automated solutions; perform data scientist functions that directly align/integrate into the architecture.
• Implementing best practices in knowledge management, and/or creating automated solutions. Experience with Python, Jupyter Notebooks, Elastic Search/Kibana, SQL database
• Develop statistical and graph-based algorithms to analyze and make sense of data sets.
• Clean and structure disparate data received from a globally dispersed customer base.
• Provide insight into dataset structures and produce data visualizations that are consumable by both technical an non-technical audiences.
• Translate mission customer qualitative analysis process and goals into quantitative formulations that are coded into software prototypes.
• Develop and implement statistical and machine learning techniques to create descriptive and predictive analytics.

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.

Looking for Data Scientists to join our team. In this role you will get to support key activities in defense of emerging threats in the cybersecurity domain. You will work directly with our software engineering and threat analyst teams to model complex data in an environment comprised of many databases and varying technology stacks.

TS/SCI/FS Poly clearance only is required for this position

• Must have a bachelor’s degree (BS) in a quotative discipline (e.g. statistics, mathematics, operations research, engineering or computer science) from an accredited college/university.
• Minimum of five (5) years of experience in two (2) or more of the following: designing/implementing machine learning, data mining, advanced analytical algorithms, advanced statistical analysis, artificial intelligence, or software engineering with data analysis software (i.e. R, Python, SAS, MATLAB).
• Independently creating mission specific and tailored tradecraft automated solutions; perform data scientist functions that directly align/integrate into the architecture.
• Implementing best practices in knowledge management, and/or creating automated solutions. Experience with Python, Jupyter Notebooks, Elastic Search/Kibana, SQL database
• Develop statistical and graph-based algorithms to analyze and make sense of data sets.
• Clean and structure disparate data received from a globally dispersed customer base.
• Provide insight into dataset structures and produce data visualizations that are consumable by both…