Data Scientist

NS2 Mission•Virginia Beach, VA

5d•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.