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Data Scientist (TS/SCI with Full Scope Poly required)

PlacingIT
Hampstead, MD Full Time
POSTED ON 2/8/2025
AVAILABLE BEFORE 4/30/2025

Data Scientist (active TS / SCI with Full Scope Poly Clearance required) - 1691

Location : Fort Mead, MD - Onsite

Relocation : Not offered but a sign on bonus can help offset moving expenses

Full-time employment

Visa : US Citizen only and you need to have an active TS / SCI security clearance with the full scope Polygraph required

Job Summary

Providing analytic solutions to hundreds of companies across numerous industries, with exposure to a wide range of techniques and tools.

Position Responsibilities :

  • A data scientist will develop machine learning, data mining, statistical and graph-based algorithms to analyze and make sense of datasets; prototype or consider several algorithms and decide upon final model based on suitable performance metrics; build models or develop experiments to generate data when training or example datasets are unavailable; generate reports and visualizations that summarize datasets and provide data-driven insights to customers; partner with subject matter experts to translate manual data analysis into automated analytics; implement prototype algorithms within production frameworks for integration into analyst workflows.

Required Degree and Experience :

  • Bachelor's degree in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science) 7 years of experience
  • Masters Degree 5 years of experience
  • PhD 2 years of experience
  • Must have :

  • Programming experience with data analysis software such as R, Python, SAS, or MATLAB.
  • Develop experiments to collect data or models to simulate data when required data is unavailable.
  • Develop feature vectors for input into machine learning algorithms.
  • Identify the most appropriate algorithm for a given dataset and tune input and model parameters.
  • Evaluate and validate the performance of analytics using standard techniques and metrics (e.g. cross validation, ROC curves, confusion matrices).
  • Oversee the development of individual analytic efforts and guide team in analytic development process.
  • Guide analytic development toward solutions that can scale to large datasets.
  • Partner with software engineers and cloud developers to develop production analytics.
  • Develop and train machine learning systems based on statistical analysis of data characteristics to support mission automation.
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