Onsite TS/SCI Data Scientist for Mission Analytics

CyberPoint International; Columbia (MD); On-site; USD 140,000 - 180,000; Full time

Job summary

CyberPoint International in Maryland is seeking a Data Scientist to build advanced analytics, ML and statistical solutions that drive mission-focused decisions. You will work across the data science lifecycle, from data exploration to production deployment, collaborating with SMEs to turn domain knowledge into automated analytics.

The role emphasizes developing feature vectors, evaluating models with rigorous metrics and leveraging GPU-accelerated training.

Qualifications

• Bachelor's degree in a quantitative discipline (Statistics, Mathematics, Operations Research, Engineering, Computer Science or related).
• 5 years of experience analyzing datasets and developing analytics.
• 5 years of experience programming with data analysis software such as Python, R, SAS or MATLAB.
• An additional 4 years of experience in software development, cloud development, dataset analysis or developing descriptive, predictive and prescriptive analytics may be substituted for a Bachelor's degree.
• A PhD from an accredited college or university in a quantitative discipline may be substituted for 4 years of experience.
• Experience developing and evaluating machine learning, statistical, or heuristic models.
• Experience developing feature vectors and preparing datasets for analytic or machine learning applications.
• Experience evaluating analytic and machine learning model performance using appropriate statistical and performance metrics.
• Experience working with subject matter experts to define analytic requirements and translate domain knowledge into data-driven solutions.
• Experience producing data visualizations and reports that communicate meaningful insights from complex datasets.

Responsibilities

• Develop machine learning, data mining, statistical, heuristic and graph-based algorithms to analyze complex datasets and solve mission-focused problems.
• Explore and prototype multiple algorithms and approaches, selecting final models based on appropriate performance metrics and mission requirements.
• Develop descriptive, predictive and prescriptive analytics to generate data-driven insights and recommendations.
• Analyze diverse data sources and formats, including SQL tables, structured metadata, network logs and other mission-relevant datasets.
• Work with SMEs to identify important information within raw data and translate domain knowledge into analytic requirements and features.
• Develop scripts and data processing techniques to extract, transform and prepare information for analytic development.
• Incorporate SME input into feature vectors suitable for machine learning development and testing.
• Develop and optimize feature vectors for use in machine learning algorithms.
• Develop experiments to collect data or create models to simulate data when suitable training data is unavailable.
• Identify appropriate algorithms for specific datasets and tune model and input parameters to improve performance.
• Develop and implement statistical tests to support data-driven recommendations and decisions.
• Evaluate and validate analytics using standard techniques and metrics such as cross-validation, ROC curves, confusion matrices.

Skills

Python

R

SAS

MATLAB

Machine learning

Statistics

Data analysis

Education

Bachelor's degree in a quantitative discipline

PhD substitution for 4 years of experience

Tools

SQL

Job description

CyberPoint International in Maryland is seeking a Data Scientist to build advanced analytics, ML and statistical solutions that drive mission-focused decisions. You will work across the data science lifecycle, from data exploration to production deployment, collaborating with SMEs to turn domain knowledge into automated analytics.

The role emphasizes developing feature vectors, evaluating models with rigorous metrics and leveraging GPU-accelerated training.