Senior Data Scientist - TS/SCI with Poly required

Parsons CorporationAnnapolis Junction, MD
$112,200 - $196,400

About The Position

Parsons is looking for a talented Senior Data Scientist to join their growing team. In this role, you will support key activities in the defense of emerging threats in the cybersecurity domain. 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. Your work will contribute to developing and tailoring capabilities with the common goal to prevent and eradicate threats to critical U.S. systems.

Requirements

  • Active TS/SCI security clearance with Polygraph
  • Bachelor degree, with additional years of experience able to count in lieu of a degree
  • 7+ years of experience, with additional education able to count towards total years of experience.
  • Experience with 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.
  • Experience working within a cybersecurity mission environment.
  • An active Top Secret SCI w/Polygraph security clearance is required for this position.

Nice To Haves

  • Experience with Java
  • Experience with graph analytics
  • Experience with data pipelines
  • Experience with IP-based network data

Responsibilities

  • 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 and non-technical audiences.
  • Translate mission customer qualitative analysis processes 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.
  • Evaluate and validate the performance of analytics using standard techniques and metrics.
  • 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 to production.
  • Generate threat intelligence using tools and capabilities within a cybersecurity mission environment.
  • Perform data analysis with cybersecurity analyst teams.
  • Understand adversary tradecraft.

Benefits

  • medical
  • dental
  • vision
  • paid time off
  • 401(k)
  • life insurance
  • flexible work schedules
  • holidays
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