Senior Data Scientist
| Company | Parsons |
|---|---|
| Location | Annapolis Junction, MD, USA |
| Salary | $120800 – $217400 |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Senior, Expert or higher |
Requirements
- Must have a Bachelor of Science in a quantitative discipline such as statistics, mathematics, or a Computer Science degree. Master’s Degree or Doctoral Degree may be substituted for some experience.
- Ten (10) 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.
- 5+ years of 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.
- 5+ years of experience implementing best practices for knowledge management and applying techniques to create automated solutions in support of the cybersecurity analytic mission.
- U.S. Citizenship
- Active TS/SCI security clearance with polygraph.
Responsibilities
- Develop machine learning, data mining, statistical, and graph-based algorithms to analyze and make sense of data sets.
- Produce data visualizations that provide insight into dataset structures and meaning.
- Translate mission customer qualitative analysis process and goals into quantitative formulations that are coded into software prototypes.
- Develop and implement statistical, machine, learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics.
- Develop feature vectors for input into machine learning algorithms.
- Evaluate and validate the performance of analytics using standard techniques and metrics and oversee development of individual analytic development efforts guiding them toward solutions that can scale to large datasets.
- Work in close partnership with subject matter experts, software engineers, and cloud developers to guide the formulation of analytics from prototype to production.
- Understand emerging machine learning and pattern recognition algorithms and guide a team of data scientists in integrating state-of-the-art algorithms into solutions.
Preferred Qualifications
- Experience with graph analytics, data pipelines, and IP-based network data is a plus, but not required.