Data Scientist 2

Altamira Technologies Corp.•Annapolis Junction, MD

22h•$220,000•Onsite

About The Position

Altamira Technologies is seeking Data Scientists to support key activities in defense of emerging threats in the cybersecurity domain. In this role, you will work directly with software engineering and threat analyst teams to model complex data in an environment comprised of many databases and varying technology stacks. A TS/SCI/FS Poly clearance is required for this position.

Requirements

Must have a bachelor’s degree (BS) in a quantitative 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).
Experience with Python, Jupyter Notebooks, ElasticSearch/Kibana, SQL database
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.
Experience working within a cybersecurity mission environment.
U.S. Citizenship
Active TS/SCI security clearance with polygraph

Nice To Haves

Experience with Java is also a plus.
Experience with graph analytics, data pipelines, and IP-based network data is a plus, but not required.

Responsibilities

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.
Conducting data analysis and creating data visualizations.
Generate threat intelligence using tools and capabilities within a cybersecurity mission environment.
Perform data analysis with cybersecurity analyst teams.
Leverage a deep understanding of adversary tradecraft.