Data Scientist 2

Qualifications

• 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).
• 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.
• 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 and 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.