Data Scientist 2

United States·Annapolis Junctionmid

Data ScientistData

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Requirements Summary

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.

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Data ScientistData

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.

Qualifications:

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.

Required Skills:

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. Experience with Java is also a plus.
Background working with analyst teams including conducting data analysis and creating data visualizations. Experience with graph analytics, data pipelines, and IP-based network data is a plus, but not required.
Experience working within a cybersecurity mission environment using tools and capabilities to generate threat intelligence. This includes working with cybersecurity analyst teams to perform data analysis and a deep understanding of adversary tradecraft.
U.S. Citizenship
Active TS/SCI security clearance with polygraph

Education and Experience:

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).