Data Scientist

NS2 MissionVirginia Beach, VA
Onsite

About The Position

Join NS2 Mission as a Data Scientist, where you'll play a crucial role in unlocking the power of data to drive informed decision-making and shape the future of our analytics initiatives. You will be supporting the team on-site in Virginia Beach, VA.

Requirements

  • Strong expertise with Python and leveraging a variety of Python data analysis packages to include Pandas and/or Polars.
  • Extensive knowledge of appropriate analytic methods and methodological tools in one or more of the following areas: Applied Mathematics (e.g., probability and statistics, formal modeling, computational social sciences), Computer Programming (e.g., programming languages, math/statistics packages, computer science, machine learning, scientific computing), Visualization (e.g., GIS/geospatial analysis, telemetry analysis).
  • Broad familiarity with contemporary database options like Postgres.
  • Experience using non-local, cloud development environments.
  • Experience working with distributed computing frameworks like Spark and data engineering technologies like Airflow.
  • Experience with statistical risk assessments and scoring methods.
  • Experience sharing and presenting resulting data insights in a digestible manner to customers.
  • Experience working with a software development team to translate results from data science methodologies to lightweight applications.
  • 9 – 12+ years of experience in data science, data engineering or related technical fields.
  • TS/SCI Clearance required.
  • U.S. citizenship (required for security clearance).

Nice To Haves

  • Bachelor’s degree in data science, Data Engineering or related field, or equivalent experience.
  • On-the-job experience exhibiting communication skills, both oral and written, as well as making presentations to small audiences.
  • Experience with developing lightweight applications (e.g. Streamlit) for sharing data science workflows and analytics.
  • Experience working with Palantir Foundry.
  • Familiarity of internet architecture and concepts.
  • Experience developing machine learning models from inception and design, training, and testing, and through deployment.
  • Experience working independently.

Responsibilities

  • Transforming raw data into actionable insights.
  • Extracting knowledge from complex datasets.
  • Performing predictive modeling.
  • Supporting the team on-site in Virginia Beach, VA.
  • Sharing and presenting resulting data insights in a digestible manner to customers.
  • Working with a software development team to translate results from data science methodologies to lightweight applications.

Benefits

  • Culture of inclusion
  • Focus on health and well-being
  • Flexible working models
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