Data Scientist

Volume Integration • Virginia Beach, VA

7d • Onsite

About The Position

Are you passionate about transforming raw data into actionable insights? If you thrive on extracting knowledge from complex datasets and possess a knack for predictive modeling, we have an exciting opportunity for you. 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.

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

• Leveraging a variety of Python data analysis packages to include Pandas and/or Polars.
• Applying appropriate analytic methods and methodological tools in areas such as Applied Mathematics, Computer Programming, or Visualization.
• Utilizing contemporary database options like Postgres.
• Working with non-local, cloud development environments.
• Using distributed computing frameworks like Spark and data engineering technologies like Airflow.
• Performing statistical risk assessments and scoring methods.
• 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.
• Developing machine learning models from inception and design, training, and testing, and through deployment.
• Working independently.

Benefits

• NS2 Mission’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best.
• We invest in our employees to inspire confidence and help everyone realize their full potential.
• We ultimately believe in unleashing all talent and creating a better world.
• NS2 Mission is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Associate degree