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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.
Job Responsibility
Support key activities in defense of emerging threats in the cybersecurity domain
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
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
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
Requirements
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, ElasticSearch/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
Must have a Bachelor of Science Degree in quantitative discipline such as statistics, mathematics, or a Computer Science degree. Master’s Degree or Doctoral Degree may be substituted for some experience
Seven plus (7+) years’ experience in two 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 (R, Python, SAS, MATLAB)
Experience with Windows server management and Power BI Report Service
Proficiency with Python/Jupyter Notebooks, SQL and relational databases, ElasticSearch/Kibana/OpenSearch
Background working with analyst teams including conducting data analysis and creating data visualizations
U.S. Citizenship
Active TS/SCI security clearance with polygraph
Nice to have
Experience with Java is also a plus
Experience with graph analytics, data pipelines, and IP-based network data is a plus, but not required
Master’s Degree or Doctoral Degree may be substituted for some experience