Data Scientist

6 days ago

Linthicum Heights, Maryland, United States Kepora Full time


The 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.

Requirements

Job Requirements

  • Produce data visualizations that provide insight into dataset structure and meaning
  • Work with subject matters experts (SMEs) to identify important information in raw data and develop scripts that extract this information from a variety of data formats (e.g., SQL tables structured metadata, network logs)
  • Incorporate SME input into feature vectors suitable for analytic development and testing
  • Translate customer qualitative analysis process and goals into quantitative formulations that are coded into software prototypes
  • Develop and implement statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics
  • Develop statistical tests to make data-driven recommendations and decisions
  • Develop experiments to collect data or models to simulate data when required data are 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
  • Lead a team of data scientists in the development of multiple analytic efforts
  • Work with customers and SMEs to define analytic requirements and guide the team in formulating analytics that meet requirements
  • Guide the transition of prototyped analytics to production system
  • Understand emerging machine learning and pattern recognition algorithms and guide a team of data scientists in integrating state-of-the-art algorithms into solutions
  • Delegate analysis responsibilities to one or more team members and monitor performance

Qualifications

  • Bachelor's or Master's degree, or higher, from an accredited college or university in a quantitative discipline (e.g. Statistics, Mathematics, Operations Research, Engineering, or Computer Science)
  • 10+ years of experience analyzing datasets and developing analytics
  • 10+ years of experience programming with data analysis software such as R, Python, SAS, or MATLAB
  • Experience in software and/or cloud development desired
  • Has a proven ability to learn quickly and works well both independently as well as in a team setting

A current U.S. government security clearance and background investigation is required and therefore all candidates must be a U.S. Citizen

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