Data Scientist 2 at Wyetech

Linthicum Heights, Maryland, United States

Wyetech Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
NoVisa
Government, DefenseIndustries

Requirements

  • United States Citizenship and position appropriate security clearance (e.g., Active TS/SCI with agency appropriate polygraph)
  • Bachelor's and Master's degree from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering, or computer science)
  • Five years of experience analyzing datasets and developing analytics
  • Five years of experience programming with data analysis software such as R, Python, SAS, or MATLAB
  • An additional two years of experience in software development, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics can substitute for a Master's degree
  • A PhD from an accredited college or university in a quantitative discipline can substitute for three years of experience
  • Experience with AI/ML RMF SSP authorization
  • Experience with AI/ML services contract and configurations
  • Experience with AI/ML request security review
  • 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

Responsibilities

  • 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
  • Produce data visualizations that provide insight into dataset structure and meaning
  • Work with subject matter 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

Skills

Machine Learning
Data Mining
Statistical Algorithms
Graph Algorithms
Data Visualization
SQL
Python
Feature Engineering
Predictive Analytics
Prescriptive Analytics

Wyetech

Custom engineering services with cybersecurity focus

About Wyetech

Wyetech, LLC offers a highly professional environment known for solving complex problems in the areas of software, systems, cloud computing, data analysis, and cybersecurity. This company is a great workplace as it provides its employees with challenging projects in both federal and commercial sectors, enabling them to use and grow their skills in cutting-edge technology fields. In addition, Wyetech boasts a legacy of industry expertise and a commitment to high-quality solutions, making it a respected leader in its field.

1400 Annapolis Rd, Odenton, MD 21113, USAHeadquarters
2007Year Founded
VENTURE_UNKNOWNCompany Stage
Consulting, Government & Public SectorIndustries
11-50Employees

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