Senior Data Scientist: ML & Analytics for Production (Onsite)

CyberTrend Engineering LLC; Maryland; On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

PTO benefits

Paid holidays

Full medical coverage

SEP-IRA matching

Education assistance

Training assistance

Job summary

CyberTrend Engineering LLC is seeking a data analytics professional to develop machine learning, data mining, statistical, and graph-based methods that interpret complex datasets and automate analytics for analyst workflows. The role is based onsite in Annapolis Junction, MD, with responsibilities including model prototyping, evaluation, and producing data-driven insights for customers.

The position requires a strong background in quantitative disciplines and TS/SCI with Poly clearance, enabling

Qualifications

• Bachelor's degree or higher in a quantitative discipline.
• 10+ years in two or more areas: ML, data mining, advanced analytics, AI, or software with data analysis tools.
• Master's or Doctoral degrees may substitute for experience.
• Requires TS/SCI with Poly Clearance.

Responsibilities

• Develop ML, data mining, statistical, and graph-based algorithms to analyze datasets.
• Prototype or evaluate multiple algorithms and select a final model based on performance.
• Create reports and visualizations summarizing datasets for customers.
• Implement prototype algorithms within production frameworks to support analyst workflows.

Skills

Machine learning

Data mining

Statistical analysis

Graph-based analytics

Education

Bachelor's degree in a quantitative discipline

Master's degree substituted for two years of experience

Doctoral degree substituted for four years of experience

Tools

R

Python

SAS

MATLAB

Job description

CyberTrend Engineering LLC is seeking a data analytics professional to develop machine learning, data mining, statistical, and graph-based methods that interpret complex datasets and automate analytics for analyst workflows. The role is based onsite in Annapolis Junction, MD, with responsibilities including model prototyping, evaluation, and producing data-driven insights for customers.

The position requires a strong background in quantitative disciplines and TS/SCI with Poly clearance, enabling